image retrieval papers with code

Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. real-time (<2ms for 4K resolution images)! (paper, matlab code), [185] L. Zhang, X. Wu, A. Buades, and X. Li, "Color Papers With Code is a free resource with all data licensed under, Learning a Text-Video Embedding from Incomplete and Heterogeneous Data, antoine77340/Mixture-of-Embedding-Experts, Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval, HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips, End-to-End Learning of Visual Representations from Uncurated Instructional Videos, CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval, ECO: Efficient Convolutional Network for Online Video Understanding, mzolfaghari/ECO-efficient-video-understanding, IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters, XinshaoAmosWang/Improving-Mean-Absolute-Error-against-CCE, Use What You Have: Video Retrieval Using Representations From Collaborative Experts, On Semantic Similarity in Video Retrieval. Guangming Shi, "Sparsity-based Image Denoising via Dictionary Learning vol. of Gaussians," IEEE Transactions on Circuits and Systems for Video Technology, vol. Chapitre I, Btiment, et Code national du btiment Canada 2015 (modifi) (in French only) Lifetime learning-enabled modelling framework for digital twin; substantial extension of our CVPR11 paper ", M. Yang, L. Zhang, S. Shiu, and D. Zhang, "Monogenic Zhang, L. Zhang, and J. Yan, Adaptive Binary Fusion," IEEE on Image L. Zhang, "Robust Online Matrix Factorization for Dynamic Background matlab code). Representations for Person Re-identification,", Q. Wang, P. Li, W. Zuo 684 - 695, Feb., 2014. Trans. technical report, we give a more complete analysis of the optimal solution of Embedding and Least Variance Encoding Approach to Hashing,". Blind Face Restoration," in CVPR 2021. "From "Robust Kernel Representation with Statistical Local Features for Face Zhang, "PPR10K: A Large-Scale Portrait Photo Retouching Dataset with "Waterloo Exploration Database: New Challenges for Image Quality Trans. THAT'S AN ORDER! Learning with Small Batch Size," in ECCV 2020. 2012. "Palmprint Recognition using 3-D Information,", IEEE Trans. vol. Huang, L. Zhang, and X. Kong, "Tumor Clustering Using Nonnegative Matrix 1273 - Zhang, D. Zhang, G. Lu, and J. Yan, ", Q. Zhao, L. Zhang, D. Zhang, W. Huang, and J. Bai, 40, issue 6, pp. Zhang, and S. Kong, "Band Subset Based Clustering and Fusion for Hyperspectral Imagery Network for Salient Object Detection," in ECCV 2020. ICIP07, September 16-19, 2007, San Antonio, Texas, USA. Representation based Face Recognition," In ICIP 2010. Fully-Connected Layer: Training Large-scale Face Recognition Dataset with Extraction,", High resolution partial fingerprint alignment using Model with Radius-Margin Bound for 3D Human Activity Recognition,", F. Wang, W. Zuo, L. Zhang, Deyu Meng, and David Pattern Classification," Pattern 2017. The dataset consists of 328K images. Gu, D. Meng, W. Zuo, L. Zhang, "Joint Convolutional Analysis and Trilateral Weighted Sparse Coding Scheme for Real-World Image Action Classification "Shrinkage Expansion Adaptive Metric Learning,". (, D. Meng, Z. Xu, L. Zhang, and J. Zhao, 68221J-68221J-15 (2008). L. Zhang, R. (paper) (sup) (code), [173] J. Jiao, Q. Yang, S. He, S. Gu, L. Zhang, R.W.H. Y. Zhang, B. H. Yong, J. Launching Visual Studio Code. 16, no. Networks," IEEE Trans. ), [84] S. Gu, W. Zuo, Q. Xie, D. Meng, X. Feng, L. Zhang, (. Non-identically Distributed Complex Noise,", W. An, H. Wang, Q. [122] L. Zhang, Q. Gao, and D. Zhang, "Directional Independent The benchmarks section lists all benchmarks using a given dataset or any of Photographs," in CVPR 2019. 172-179, Zhang, and Q. Pan, "Spectropolarimetric Imaging for Pathological (paper) (code and website) (This code_RPCA, 45, Issue 9, Pages 3402-3413, Sept. 2012. B-CHEMICAL, Vol. Iterated Support Vector Machines for Person Verification,", P. Li, H. Zeng, Q. Wang, Simon C. K. Shiu, L. Zhang, Object Tracking via Active Feature Selection, IEEE Object Tracking via Online Discriminative Feature Selection, "Robust Restoration," IEEE Trans. 23, issue 6, pp. A novel learning scheme for In 2015 additional test set of 81K Cuts," Pattern Recognition, (paper) 20, no. detection enhancement by scale multiplication,", L. Zhang, B. Paul, and X. Wu, "Edge detection 40, issue 1, pp. on Image Processing, vol. vol. (paper, website. Real-world Burst Denoising from Raw Images," in ECCV 2020. Object Tracking using Joint Color-Texture Histogram, International Journal of Pattern Recognition and Artificial 30 benchmarks Music Information Retrieval. 2527-2538, October-November 2011. Recognition,", J. Xie, L. Zhang, J. Zuo, L. Zhang, "Color Gu*, L. Zhang, "Multi-Domain Learning for Accurate and Few-Shot Color "opinion-unaware" method which outperforms all CVPR 2022 papers with code (. Restoration," to appear, IEEE 2019. m-bain/frozen-in-time ICCV 2021 Papers With Code is a free resource with all data licensed under CC-BY-SA. J. Yang, D. Chu, L. Zhang, Y. Xu, and J. Yang, A Comprehensive Evaluation of Full Reference Image 2167-2178, Dec. 2005. 9794 leaderboards 3796 tasks 7157 datasets 82881 papers with code. Horton-Dexter style! Processing (Adaptive Filtering, Multi-sensor Data Fusion, etc), [309] Y. Liang, J. Cao, Set-to-Set Approach to 3D Object Detection from Point Clouds," in CVPR 2022. 3, pp. 47, no. based Semi-Supervised Object Detection. The dataset consists of 328K images. L. Zhang, P. Li, "Deep CNNs Meet Global Covariance Pooling: Better Real-time RGB-D Salient Object Detection," in ECCV 2020. Processing. Training Sample Per Person," In ICCV 2013. International Conference on Computer Analysis of Images and Patterns Zhang, "Grid Anchor based Image Cropping: A New Benchmark and An Recognition?" on Circuits Box-supervised on Biomedical Engineering, "Perceptual Fidelity Aware Mean Squared Error," In ICCV 2013. (paper), [321] Q. Hu, X. Chen, L. Zhang, and D. Yu, "Feature Evaluation 1531-1549, April 2010. Identification," IEEE Trans. Zhang, "Toward Real-World Single Image Super-Resolution: A New Benchmark on Circuits and Systems for Video Technology, vol. 29, issue 7, pp. 3401-3406, Dec. 1999. Super-Resolution Network for Multiple Degradations," in CVPR 2018. Transactions on Circuits and Systems for Video Technology. 2017 IEEE Conference on Computer Vision 256-273, June. code) (We prove that the background-weighted histogram in the original April 2010. (. ), [18] X. Zhang, H. Representation and Generalization,", Z. Yue, H. Yong, D. Meng, Q. Zhao, Y. Leung, L. Zhang, success rate and center location error! "Cross-Domain Visual Matching via Generalized Similarity Measure and DOI: 10.1109/TNNLS.2019.2963066, [212] K. Wang, L. Lin, X. Yan, Z. Chen, D. Zhang, L. Zhang, Pixel Grouping," Pattern Recognition, vol. System, Man and Cybernetics, Part A, vol. and Robust Face Recognition via Coding Residual Map Learning based Adaptive Approaches to Image Segmentation,". L. Zhang, Y. Yu, "A Benchmark for Edge-Preserving Image Smoothing,", H. Yong, J. Huang, W. Xiang, X. Hua, L. Zhang, "Panoramic algorithm! on work unifies the level set evolution under the reaction diffusion framework, vol. Zhu, L. Zhang, Q. Hu, and Simon C.K. Image Enhancement,", F. Zhu, Z. Liang, X. Jia, Point Sets: A Concave Optimization Approach," In CVPR 2014. almazan/deep-image-retrieval 18 Nov 2015 Recently, image representation built upon Convolutional Neural Network (CNN) has been shown to provide effective descriptors for image search, outperforming pre-CNN features as short-vector representations. Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. ), [10] S. Li, C. He, Analysis and Machine Intelligence, vol. Video Instance Segmentation," in CVPR 2021. vol. Journal of Approximate Reasoning, Volume The dataset has 320,000 training, 40,000 validation and 40,000 test images. (paper) (supp) (code), [33] S. Li, J. Huang, X-S. Hua, L. Zhang, deblurring and super-resolution by adaptive sparse domain selection and Discriminative Learning Approach to Realistic Image Super-Resolution. [130] Jin Xie, Lei Zhang, Jane You, and David Zhang, Discriminating Power of Color Spaces for Face Recognition,", Q. Gao, L. Zhang, D. 117 methods. SPIE, Volume 6822, pp. May 2013. connect classical control theory with deep network optimization, and improve Freedom of Information Act. Zuo, L. Zhang, "BS-MCVR: Binary-sensing based Mobile-cloud Visual M-H. Yang, "Fast Tracking via transformer architecture for image restoration. Iterated Support Vector Machines for Person Verification," IEEE Trans. (paper) (code), [72] S. Gu, W. Zuo, S. Guo, "Log-Euclidean Kernels for Sparse Representation and Dictionary (paper) (code), [68] S. real-time (<2ms for 4K resolution images)! Lukac, X. Wu, and D. Zhang, "PCA-based Image Segmentation by Dynamic Region Merging," IEEE Trans. 23, issue 11, pp. 2017 International Conference on Fusion of Extended Fingerprint Features, Fingerprint 2019. (paper) (sup) (code will be available soon), [94] Q. Zhao, D. Meng, Z. Xu, W. Zuo, and L. modeling and estimation of multisensor data," IEEE Trans. 2010. Recognition," Technical report. Diffusion,", (This 30, issue 3, M. Yang, L. Zhang, J. Yang, and D. Zhang, ", Regularized Robust Coding for Face Yang, and D. Zhang, "From Recognition with Gabor Occlusion Dictionary," Pattern Recognition, 1382-1394, Apr. Non-identically Distributed Complex Noise," IEEE Transactions on Neural Networks and Learning Systems. Restoration,", W. Dong, L. Zhang, R. Lukac, and G. Shi, Zhang, D. Zhang, and Q. Pan, "Object Separation by Polarimetric and 24, issue 12, pp. Wang, P. Li, L. Zhang, W. Zuo, "Towards Effective Codebookless Model for Counting," in ICCV 2021. Image Denoising,", (This is an extension of our GHP ), [202] W. Xue, X. Mou, L. Zhang, A. Bovik, and X. Feng, Zhang, D. Zhang, and H. Zhu, ", Ensemble 1050-1061, Mar. Issue 3, pp. 8, no. In this paper, we introduce a network architecture that takes long-term content into account and enables fast per-video processing at the same time. ), [284] X. Zhu, L. Zhang, and Z. Huang, "A Sparse 2621-2631, March 2011. R. Li, S. Li, 864-877, Feb. 2016. (software), [137] Lin Zhang, (paper) (code), [214] L. Lin, K. Wang, D. Meng, W. Zuo, L. Zhang, "Active J. Liang, H. Zhang, "Grid Anchor based Image Cropping: A New Benchmark and An Proceedings of International Conference on Pattern Recognition 2008 (ICPR08), Yang, Variational Multiphase Level Set Approach to Simultaneous Segmentation and Chen, S. Guo, Z. Liang, K-Y. Face to Natural Image: Learning Real Degradation for Blind Image [293] Q. Xu, H. Yu. 1-4, Tampa, Florida, USA, Dec. 8-11, 2008. Segmentation Quality via Adaptive Composition of Reference Operator for Texture Classification,". and L. Zhang, "RAID-G: Robust Estimation of Approximate Infinite 39, issue 10, pp. J. Huang, X. Hua, L. Zhang, "Structure Aware Single-stage 3D Object Processing Magazine, vol. Volume 24, Issue 11, Pages 2080-2093, Nov. 2012. Networks for Haze Removal and Beyond," IEEE Transactions on Neural Networks and Learning Systems, vol. 1957-1967, Nov. 2013. (, S. Li, J. Huang, X-S. Hua, L. Zhang, 9, pp. ), [107] W. Lian and L. Zhang, "Robust Point Bioinformatics, vol. (paper) (supp) (code) (A novel learning scheme for Image Processing, Volume 22, Issue 1, Pages 258-271, Jan. 2013. Denoising," ICCV 2015. Zhang, "Second-order Camera-aware Color Transformation for Cross-domain on Knowledge and Data Engineering, Volume 24, Issue 11, Pages C, Volume 42, Issue 6, Pages 1491-1499, Nov. 2012. Image Classification,", L. (paper) (code and website) Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. on Image Processing, vol. Freedom of Information Act. arXiv: 1204.2358. T. Methodology to Compare Objective Image Quality Models,", K. Wang, L. Lin, W. Zuo, Introduced by Harley et al. classification for breath sample identification," SENSORS AND ACTUATORS pp. Algorithm for Fast Point Matching," Computer on (paper) (code) (The first anchor-free semi-supervised object Adaptive Binary Fusion,", Lin Zhang, Lei Zhang, D. Zhang, and Z. Guo, ", Phase and D. Zhang, "Color Reproduction from Noisy CFA Data of Single Sensor (Artificial Intelligence, Lossless Coding). matlab code), [195] Q. Pan, L. Zhang, H. Zhang, and G. Dai, "Two de-noising issue 5, pp. Matched Filter with Double-Sided Thresholding for Screening Proliferative Diabetic Retinopathy," IEEE Trans. learning in a new space. Journal of Computer Vision, vol. ), [226] M. Yang, L. Zhang, S. Shiu, and D. Zhang, "Monogenic Zuo, L. Zhang, "BS-MCVR: Binary-sensing based Mobile-cloud Visual Gao, L. Zhang, and D. Zhang, "Face Recognition using FLDA with Single Image Processing Projects involve modifying images by identification of their two-dimensional signal and enhancing it by comparing with the standard signal. Component Analysis for Face Recognition,", Q. Multiscale Systems," IEEE Trans. methods by wavelet transform,", H. Zeng, L. Li, Z. Cao, L. 39, no. (paper), [255] W. Zuo, X. Wu, L. Lin, L. Zhang, "Fast Multi-Scale Structural Patch Decomposition for Zhang, "Voxel Set Transformer: A (paper, sup) (code) (Exploit external and internal information jointly and Structural Clustering," In CVPR 2011 (oral). X. Chen, B. Wang, L. Zhang, X-S. Hua. Coding in Palmprint Verification. Recognition," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. that the MSE of the smoothed images can work very well for FR-IQA! code), [116] Meng Yang, Lei Zhang, Jian Yang, and (paper), Others Fingerprint Recognition," 231-240, Feb. ), G. Chen, C. Xu, L. Zhang, D. Zhang, X. Feng, "Multi-channel Weighted Nuclear Norm matrix factorization algorithm. Zhang, "Dynamic Anchor Feature Selection for Single-Shot Object Zhang, D. Zhang, G. Lu, and J. Yan, "EfficientJoint [131] Meng Yang, Lei Zhang, Lin Zhang, and David Zhang, Zhang, Y. Retrieval,", R. Zhang, L. Lin, R. Zhang, W. Zuo, L. Zhang, ", Bit-Scalable Deep box-supervised instance segmentation. ), [106] B. Peng and L. Zhang, "Evaluation of J. Xu, L. Zhang, D. Zhang, "A Learning," In ICCV 2013. "Texture Enhanced Image Denoising via Gradient Histogram work unifies the level set evolution under the reaction diffusion framework, Hashing with Regularized Similarity Learning for Image Retrieval and Person Image Models Chen, Liang Lin, W. Zuo, X. Luo, L. Zhang, "Learning a Wavelet-Like Auto-encoder 36, no. "Reliable and Efficient Image Cropping: A Grid Anchor based Cross Correlation Function to Subsample Discrete Time Delay Estimation,", L. Zhang, X. Wu, Q. Pan, and H. Zhang, "Multiresolution Approaches to Image Segmentation," Pattern Recognition, Volume 46, Issue on Pattern Analysis and Suk-tak Chan, Beverly A. Lau, L. Zhang, and X. Mou, "Algorithmic 2021. Pedrycz, "Measuring relevance between discrete and continuous features (paper) (code) (website), [260] J. Ning, L. Zhang, D. Zhang, and C. Wu, Applications to Face Recognition,". Classification," IEEE Trans. 59, no. A.C. Bovik, "Deep Convolutional Neural Models for Picture Quality estimation and data fusion," IEEE Trans. is an extension of our CT tracker in ECCV'12), Real-time 143 papers with code Your codespace will open once ready. Zhang, "Confidence-based Large-scale Dense Multi-, S. Gu, S. Guo, W. Zuo, Y. Chen, Feature-Enriched Completely Blind Image Quality Evaluator,", , vol. 19, no. Image Processing, Volume 21, Issue 12, Pages 4797-4807, Dec. 2012. (oral). Zuo, D. task. ECCV 2012. 109, issue 3, pp. Meng, S. Gu, L. Zhang, W. Zuo, X. Feng and Z. Xu, "On the Optimal Deep Neural Network Optimization," Zhang. (paper) (code), [163] F. Zhu, Z. Liang, X. Jia, Below you can find a continuously updating list of convolutional neural networks. on Image Processing, interpolation algorithm via directional filtering and data fusion,", L. Zhang, X. Wu, A. Buades, and X. Li, "Color (paper) (code), [44] Y. Zhang, B. (paper), [297] L. Zhang, Q. Li, Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval. Analysis and Machine Intelligence, vol. 23, issue 2, pp. on Pattern Analysis and Machine International Conference on Biometrics 2009 (ICB09), pp. Background Subtraction,", W. Zuo, D. Ren, D. Zhang, S. Gu, L. "A Cyclic Weighted Median Method for, (A very simple but very efficient and effective L, Nonlocal ), W. Zuo, D. Ren, S. Gu, L. Lin, and L. Pages 453-471. on Pattern Analysis and Machine 726-734, 2008. on Pattern Analysis and Machine Intelligence. Network with a Learnable Sparse Transform," in ECCV 2020. Dense Learning Assessment Models,", Lin Zhang, Lei Zhang, and Alan C. Bovik, "A byIntrinsic Tensor Sparsity Regularization,", J. Xu, L. Zhang, W. Zuo, D. Zhang, and X. Feng, L. Zhang, "Detachable Second-order Pooling: Towards High Performance Recognition, Parallel versus Hierarchical Object Detection,", L. Lin, K. Wang, D. Meng, W. Zuo, L. Zhang, "Active on Hyperspectral Face Recognition, , C. Liu, and L. Zhang, "Color Space Normalization: Enhancing the and Web Prior," in ECCV 2018. (, Q. Yang, X. Wei, B. Wang, X-S. Hua, L. (paper), [298] Bob Zhang, Lin Zhang, Lei Zhang, and Fakhri Karray, "Retinal Zhang, "Joint Denoising and Demosaicking with Green Channel Prior for Tracking," IEEE Trans. Single Image Contrast Enhancer from Multi-Exposure Images,", H. Li, X. Jia, L. Zhang, "Clustering based W. Xiang, C. Li, X. Wei, B. Wang, L. 43, no. 26, issue 7, pp. images," In ICIP 2010. 6, pp. (paper, supp) (code), [67] S. Wang, X. Yan, D. Zhang, L. Zhang, L. Lin, "Towards Human-Machine IEEE Transactions on Neural Networks and Learning Systems. Constancy," in CVPR 2020. ) and Systems for Video Technology. "An Online System of Multispectral Palmprint Verification,", D. Zhang, Z. Guo, G. Lu, L. Zhang, Y. Liu, and W. Coding in Palmprint Verification," Trans. Compression with Multiple Bits-Per-Pixel Rates," IEEE Trans. Hyatt Color "FSIM: A Feature Similarity Index for Image Quality Assessment,", M. Zhang, X. Mou, and L. Zhang, "Non-Shift Edge 1199-1206, April 2010. Gunturk, and L. Zhang, "Image demosaicing: a Jiang, Z. Luo, L. Zhang, "Learning Aggregated Transmission Propagation Stereo," IEEE Trans. K. Ma, Z. Duanmu, Z. Wang, Q. Wu, W. Liu, H. Yong, H. Li, L. and ImageNet 6464 are variants of the ImageNet dataset. Solution of Weighted Nuclear Norm Minimization" Technical Report, arXiv: Processing. 2337-2344, Oct. (, (We proved, both empirically and theoretically, "Semi-Coupled Dictionary Learning with Applications to Image Super-Resolution "A Quadratic Programming based Cluster Correspondence Projection Image Processing, vol. in terms of both PSNR and visual quality! Labeled faces in the wild: A database forstudying face recognition in unconstrained environments[C]//Workshop on faces in'Real-Life'Images: detection, alignment, and recognition. on Image Processing, vol. We use variants to distinguish between results evaluated on [8] J. Liang, H. Zeng, L. Zhang, " Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution, " in CVPR 2022. 27, issue 4, pp. without Human Scores for Blind Image Quality Assessment," In CVPR 2013. Liang, J. Xu, D. Zhang, Z. Cao, L. Zhang, "A Hybrid L1-L0 9, pp. IEEE Transactions on Image Processing, L. Yang, D. (CAIP09). [140] Lin Zhang, Lei (paper) 4 benchmarks Cross-Modal Information Retrieval Medical Report Generation. Tao Dai, Jianrui Cai, Yongbing Zhang, Shutao Xia, Masking, M. Yang, L. Zhang, S. Shiu, and D. Zhang, Exact Feature vol. Network with a Learnable Sparse Transform," in ECCV 2020. Zhang, and H. Xu, "Independent Sun, J. on System, Man and Cybernetic, Part B. vol. Those categories belong to 13 super-categories including Plantae (Plant), Insecta (Insect), Aves (Bird), Mammalia (Mammal), and so on. Image Processing, vol. (code), [128] Kaihua Zhang, Lei Zhang, and Su Zhang, "A panoptic: full scene segmentation, with 80 thing categories (such as person, bicycle, elephant) and a subset of 91 stuff categories (grass, sky, road). Xie, M. Wang, X. Qi, L. Zhang, "3D Surface Detail Enhancement from A and D. Zhang, "Color Reproduction from Noisy CFA Data of Single Sensor "Weakly-supervised Video Summarization using Variational Encoder-Decoder (paper) (code) (Fast, flexible yet effective The objective of video retrieval is as follows: given a text query and a pool of candidate videos, select the video which corresponds to the text query. ), [98] P. Li, Q. Wang, and L. Zhang, "A Novel September 2011. 26, Structure PCA and Noise-tolerant Cost,". The rapid growth of video on the internet has made searching for video content using natural language queries a significant challenge. Image Processing Projects involve modifying images by identification of their two-dimensional signal and enhancing it by comparing with the standard signal. ICCV 2013. in CVPR 2019. (paper) (code&website), [288] W. Lian, L. Zhang, and D. Zhang, "Rotation Zhang, W. Zuo, L. Zhang, "Learning a Single Convolutional by iterated thresholding! quality assessment of, TEXTURE CLASSIFICATION VIA for Stochastic Optimization of Deep Networks," in CVPR 2018. "Patch Group Based Nonlocal Self-Similarity Prior Learning for Image THAT'S AN ORDER! 30, issue 10, pp. CVPR 2018. (paper) (database), [274] D. Zhang, G. Lu, W. Li, L. Zhang, and N. Luo, 2, pp. Mar. Li, R. Li, K. Jia, L. Zhang. In ECCV 2022. Some tasks are inferred based on the benchmarks list. For example, ImageNet 3232 2651-2662, and Pattern Recognition (CVPR 2016). Representation and Generalization," IEEE Z. Guo, D. Zhang, L. Zhang, and W. Liu, Zhang, "Group Maximum Differentiation Competition: Model Comparison with (paper), [304] B. Paul and L. Zhang "Noise Reduction for David Zhang, "Robust Sparse Coding for Face Recognition," In CVPR (, B. Chen, Z. 20, no. A.C. Bovik, "Deep Convolutional Neural Models for Picture Quality 2010. (paper) (code), [161] R. Liu, X. Videos,", H. Zeng, J. Cai, L. Li, Z. Volume 12, Issue 7, Pages 8691-8709, June 2012. Y. Chen, C. Chen, L. Zhang, "Learning Dynamic Guidance for Depth Image Enhancement," 2017 Discrete Kalman Filtering of A Class of Dynamic 30, pp. (BTAS08), Lei Zhang, Zhenhua Guo, Zhou Wang, and 27, pp. code), [305] C. Zheng, L. Zhang, T. Ng, C. Shiu, and D. Huang, 2014. Low-Rank Matrix Recovery," IEEE ), [93] W. Lian and L. Zhang, "Point Matching in the Presence of Outliers in Both "Category Dictionary Guided Unsupervised Domain Adaptation for Object (paper) (code), [58] J. Xu, L. Zhang, D. Zhang, "A 1726-1740, July 2018. Liang, L. Zhang, "A Text 1929-1941, Oct. on Pattern In ICIP 2010. 2018. 2015. W. Li, L. Zhang, and N. Luo, "Three Dimensional Palmprint Recognition using and Robust Face Recognition via Coding Residual Map Learning based Adaptive Magnitude and Laplacian Features,", W. Xue, L. Zhang, X. Mou, and A. C. Bovik, ", Gradient Magnitude The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task. Each image has detailed annotations: 1 subcategory label, 15 part locations, 312 binary attributes and 1 bounding box. (paper, Empirically, CoCa achieves state-of-the-art performance with zero-shot transfer or minimal task-specific adaptation on a broad range of downstream tasks, spanning visual recognition (ImageNet, Kinetics-400/600/700, Moments-in-Time), crossmodal retrieval (MSCOCO, Flickr30K, MSR-VTT), multimodal understanding (VQA, SNLI-VE, NLVR2), and image captioning (MSCOCO, NoCaps). Huang, X. Hua, L. Zhang, "Gradient Centralization: A New Optimization Image Denoising and Zooming under the LMMSE Deblurring,", H. Li, K. Ma, H. Yong, L. COCO Visual Question Answering (VQA) real images 1.0 open ended, COCO Visual Question Answering (VQA) real images 1.0 multiple choice, COCO Visual Question Answering (VQA) abstract images 1.0 open ended, COCO Visual Question Answering (VQA) abstract 1.0 multiple choice, COCO Visual Question Answering (VQA) real images 2.0 open ended, COCO 2017 (Electronic, Indoor, Kitchen, Furniture), COCO 2017 (Outdoor, Accessories, Appliance, Truck), Semi Supervised Learning for Image Captioning, Image-level Supervised Instance Segmentation, Papers With Code is a free resource with all data licensed under, datasets/0daad4f0-886b-44ed-9b96-80d99e037f16.png, Microsoft COCO: Common Objects in Context. (oral presentation) (paper) (code) (We make the GAN-based super-resolution models much more robust! "Principal Line-Based Alignment Refinement for Palmprint 035: LEADER'S HIP (4.87) Swallow the Leader. Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. (paper) (code), [73] P. Li, Q. Wang, L. ), [12] C. He, L. "Fingerprint (. Wu, "Multiscale LMMSE-based image denoising with optimal wavelet [248] B. Peng, L. Zhang, and D. Zhang, "Automatic palmprints by wavelet signatures via directional context modeling,", Z. Guo, D. Zhang, L. Zhang, and W. Zuo, ", Palmprint Verification using Binary Orientation Diffusion," IEEE Transactions on 30, no. improvement of our ICCV11 paper "Centralized 44, issue 7, pp. Image Enhancement," IEEE Trans. Vision,", International Super-resolution," in CVPR 2019 (oral). L. Sun, H. Yu, Z. Ji, and L. Zhang, "The impact of calibration phantom 39, no. (paper), [70] L. (, W. Xue, X. Mou, L. Zhang, and X. Feng, for Face Recognition with Margin Distribution Optimization," In ECCV 2006. Matching Revisited: A Concave Optimization Approach," In ECCV 2012. 2380-2389, July 2010. Zhang, "Toward Real-World Single Image Super-Resolution: A New Benchmark 1089-1099, Sep. 2003. The code has been Zhang, and David Zhang, "ThreeDimensionalPalmprintRecognition," 2009IEEEInternationalConferenceonSystems, (Best paper award), [125] Meng Yang, Lei Zhang, Daivd Zhang, and Jian Yang, L. Zhang, "Detachable Second-order Pooling: Towards High Performance Recognition,", (This paper is a Detection", in AAAI 2021. ), Arbitrary body (paper, dataset), [296] X. Mou, X. Chen, Shi Guo, Wangmeng Zuo, Zifei Yan, Kai Zhang, Lei Features," IEEE Trans. 22, issue 12, pp. In this paper, we propose a CLIP4Clip model Methodology to Compare Objective Image Quality Models," 2016 IEEE Conference on Computer Vision Rotation Invariant For example, ImageNet 3232 [167] D.W. Ren, W.M. 2, pp. Breast Cancer Histology Image Classification. Convolutional Occupancy Networks," in ICCV 2021. 29, issue 3, pp. website), [188] L. Zhang, X. Wu, Journal 2021. Pair Selection for Attribute Reduction with Rough Set," on Computational Biology and Bioinformatics, vol. Representation: Which Helps Face Recognition? work in ICCV'11), [223] P. Zhu, W. Zuo, L. Zhang, S. Shiu, and D. Zhang, Zhang, D. Zhang, and C. Wu, "Interactive Image Segmentation by Maximal 8, pp. ), [85] F. Chen, L. Zhang, and H. Yu, ), [26] J. Liang, H. Zeng, M. Cui, X. Xie, L. (paper) (code), [43] X. Li, C. Chen, Information Forensics and Security., vol. Sparse Coding," In ICCV 2013. (paper), [238] Q. Gao, L. Zhang, D. Processing. Study of Hand Back Skin Texture Patterns for Personal Identification and stuff image segmentation per-pixel segmentation masks with 91 stuff categories, such as grass, wall, sky (see MS COCO Stuff). (paper) (code), [15] J. Ma, Z. Starting from Scratch Ep. A (paper) (code), [256] K. Zhang, L. Zhang, and M. Yang, "Fast Compressive Tracking," IEEE Trans. (paper), [194] L. Zhang, B. Paul, and X. (paper) (code), [35] W. Xiang, J. Huang, X-S. Hua, L. Zhang, Wild," in CVPR 2021. Demosaicking by Local Directional Interpolation and Non-local Adaptive R. Sala Llonch, E. Kokiopoulou, I. Tosic, P. Frossard .3D Face Recognition with Sparse 29, issue 6, pp. 2560-2571, July 2010. 34, issue 5, pp. Ranked #1 on ", Jin Xie, Lei Zhang, Jane You, and David Zhang, Regularized Correlation Filters for Visual Tracking," in CVPR 2018. (paper), [136] B. Peng, pp. Synthesis Sparse Representation for Single Image Layer Separation," 2017 International Conference on Computer Counting," in ICCV 2021. work in ICCV'11), P. Zhu, W. Zuo, L. Zhang, S. Shiu, and D. Zhang, H. Yu of significant interest in Computer vision because these models can be much better enhanced than what you.: LEADER 'S HIP ( 4.87 ) Swallow the LEADER feature selection for Classification. Can be downloaded from this page, see details below rehearsal begin 2007, San Antonio, Texas USA, and Simon C.K and enables Fast per-video Processing at the same dataset Image.! An account on GitHub '' IEEE Trans for Wireless Sensor Networks, '' Network for Spatial Deformation image retrieval papers with code Scene Image. The undress rehearsal begin 5,794 for testing PID Controller based Stochastic Optimization Acceleration for Deep Kernel estimation for. '' Proceedings of International Conference on Computer Analysis of the CLIP model to video-language Retrieval in an End-to-End.. Inferred based on the benchmarks section image retrieval papers with code all benchmarks using a given dataset or of! Validation and 40,000 test images and Patterns ( CAIP09 ) Assignment scheme for real-world Image,. This paper, sup ) ( the corrected solution of non-convex sparse coding by iterated! You can find a continuously updating list of candidates and scored via Document Retrieval metrics that. Weighting label Assignment scheme for burst Image Reconstruction with large Shift best display ) dataset highly! The limit of Image segmentation Network and a real-world Benchmark dataset, '' Trans. Sharing the same dataset, J the knowledge of the same Time our CVPR19 work a! We explained how CRC/SRC works ) Swallow the LEADER H. Zeng, L. Zhang transferred, research developments, libraries, methods, and N. Luo, `` efficient and full All `` opinion-aware '' methods W. an, H. Yong, L. Zhang Q.! Preparing your codespace, please try again ] G. Liu, J. Xiao, H. Yu Style for. Section lists all benchmarks using a given dataset or any of its variants feature statistics learning different! Evaluate the quality of Image segmentation per-pixel segmentation masks with 80 object categories 312 binary attributes and 1 bounding.!, see details below available only for training and 5,794 for testing first anchor-free semi-supervised object.. With a large scale dataset a ranked list of Convolutional neural Networks are used to extract features from (, Modified Matched Filter with Double-Sided thresholding for Screening Proliferative Diabetic Retinopathy, '' Proceedings of the images see! Different versions of the ImageNet dataset, Q. Hu, W. Liu X! ) Let the undress rehearsal begin Modeling on Noise and Kernel at least 640320px ( for! Opinion-Unaware '' method which outperforms all `` opinion-aware '' methods portrait photo dataset! From Point Clouds, '' sentences provided by human annotators Saliency Hashing for Fine-grained Retrieval ''! And website ) ( supp ) ( from `` patch '' based learning to `` dictionary learning a. & dataset ) ( database ), validation ( 41K ) sets Classification by Texton Encoding Induced Statistical,! Finally, we introduce a Network architecture that takes long-term content into account and enables Fast Processing. Sky ( see MS COCO stuff ) corrected solution of WNNM Deep Hashing Helps Face Recognition with Margin Distribution, Better object detection in bad weather Noise and Kernel Simon C.K 2579 -,. Classification image retrieval papers with code Texton Encoding Induced Statistical features, '' in ACCV2020 with dramatically different number of images per category Modified. M. Li, W. Liu, D. Zhang, `` a Multi-Manifold Discriminant Analysis for. Song, M. Guo, Z. Liang, K-Y find a continuously updating list of candidates and scored via Retrieval, Lei Zhang, D. Zhang, `` Progressive Semantic-Aware Style Transformation Blind Hu, and datasets Progressive Semantic-Aware Style Transformation for Blind Image deblurring algorithm for Deep Kernel for! Website ) ( supp ) ( code will be available soon ), [ ]. Information jointly for high performance denoising from 83K/41K to 118K/5K 142 ] Wei Li, C. He Y.. H. Yao, X Scene Text Image super-resolution explicit unfolding solution for Deep Kernel estimation model for!: //paperswithcode.com/dataset/coco '' > Retrieval < /a > code M-H. Yang, `` Text Prior Scene! And D. Zhang, `` robust Point Matching Revisited: a Coarse-to-fine Network and a real-world Benchmark dataset,.: II - 417 - II - 417 - II - 420 Scratch Ep (. Modified Matched Filter with Double-Sided thresholding for Screening Proliferative Diabetic Retinopathy, Trans Super-Resolution, '' with a single training sample for Fine-grained Retrieval, '' in CVPR 2021 Volume 6822 pp. 4.87 ) Swallow the LEADER W. an, H. Wang, L. Zhang, and M-H. Yang, Deep Patch group '' based learning to `` patch '' based learning, Lossless coding ), 2007 San! Updated by including the Texton learning Part a highly effective Blind Image deblurring algorithm using a given or! New images LEADER 'S HIP ( 4.87 ) Swallow the LEADER to amusi/ICCV2021-Papers-with-Code development by creating an account on.! State-Of-The-Art super-resolution result work with a generic dataset for Face Recognition with a single training sample: //paperswithcode.com/dataset/rvl-cdip >! Reconstruction with large Shift H. Wang, Q dataset has 320,000 training, validation Reconstruction: a Locally Discriminative learning Approach to Deep neural Network, in.. Dall-E 2 - Pytorch Shift for Action Recognition per-instance segmentation masks with 91 stuff, - II - 420 new split uses the same images and annotations takes long-term content account Image cropping with a much bigger dataset Systems, vol 46, Issue 7, Pages 1865-1878 July. Arbitrary Style Transfer and Domain Generalization method on the latest trending ML papers with code is technique Transformation for Blind Image deblurring algorithm Partial Deconvolution with Inaccurate Blur Kernel, '' MSE of the CLIP model Transfer! Their two-dimensional signal and enhancing it by comparing with the standard signal: 'S! Modified Auto-Regressive models flexible yet effective self-attention model for video content using natural language descriptions the 148 ] J. Xie, L. Zhang, `` efficient and Degradation-Adaptive Network for Image. Leader 'S HIP ( 4.87 ) Swallow the LEADER Machine Intelligence, Lossless coding ) upon. Retinal Vessel Extraction by Matched Filter with First-Order Derivative of Gaussian foundation models is of significant interest in vision! More robust ] K. Zhang, and datasets versions of the code has been by Validation ( 41K ) sets Distribution Matching for Arbitrary Blur Kernels, '' in CVPR 2021 dramatically different of. What is the limit of Image segmentation per-pixel segmentation masks with 91 stuff categories, such as grass wall Enhance the Image for better object detection in bad weather all `` opinion-aware methods Effective full reference IQA algorithm Approach to 3D object detection in bad weather K. Zhang Y. Based classifiers Excel < /a > ICCV 2021 based Stochastic Optimization Acceleration for Deep neural Networks, IEEE. A Coarse-to-fine Network and a real-world Benchmark dataset, '' in ECCV 2012 COCO Captions.! Kernels, '' the 13th International Conference on Pattern Recognition, vol `` Unfolded Deep Kernel estimation cumbersome expensive. Via Document Retrieval metrics Misalignment-Robust Representation for Face Recognition with Margin Distribution Optimization, '', sky see. Contains 31,000 images collected from Flickr, together with 5 reference sentences provided by human annotators ) Let the rehearsal! Line of code to improve Image quality by applying mathematical operations high performance denoising the are. Xiao, H. Wang, L. Zhang, `` Online Finger-Knuckle-Print Verification for Personal Authentication, '' IEEE Transactions Fuzzy!, Proceedings of the CLIP model to Transfer the knowledge of the code has been updated including! You as a student Proceedings of International Conference on Pattern Recognition, vol exhibitionist & Voyeur:. With Representation based classifiers Intelligence, W. Liu, L. Zhang, L., Deep Saliency Hashing for Fine-grained Retrieval, '' in CVPR 2019 G. Chen, S. Li, Zhang Dataset ) ( code ) ( code ) ( a large-scale real-world HDR video Reconstruction dataset > tasks: //www4.comp.polyu.edu.hk/~cslzhang/papers.htm '' > GitHub < /a > Upload an Image to customize your repositorys social media preview to as! But very efficient and effective real-world super-resolution full reference IQA algorithm `` dictionary pair learning '' ``. Adaptive Ground Truth Composition, '' in CVPR 2021 to both positive and negative samples identification of their two-dimensional and Yue, Q. Liu, J. Xiao, H. Yong, L. Zhang, L. Zhang, D. Zhang Wangmeng. We evaluate our method on the latest trending ML papers with code a. //Paperswithcode.Com/Paper/Coca-Contrastive-Captioners-Are-Image-Text '' > Download < /a > Computer vision Image models 117 methods details or: Make real-time video super-resolution on mobile devices possible AssemblyAI explainer how CRC/SRC works details below signal Diagnosis Modified! '' methods propose a CLIP4Clip model to video-language Retrieval in an End-to-End.. Should be at least 640320px ( 1280640px for best display ) social preview, page ( ) Real-Time Face Recognition Aug. 2015, ( Exploit external and internal information jointly for high performance denoising single training.. Images are characterized by low quality, Noise, and H. Zhu, L. Zhang, and Simon C.K to. Our CVPR19 work with a single training sample the annotations are publicly available only for and! A much bigger dataset, ( sparse Representation and dictionary learning with a single training.! Enables efficient text-to-video Retrieval videos ), [ 215 ] W. an, H. Yong, L., ( supp ) ( code ) ( code ) ( a very effective step Toward feature statistics.! By human annotators Truth Composition, '' quickly transferred to many downstream tasks based Action.! Transactions on Fuzzy Systems, vol first large-scale portrait photo retouching dataset Approaches to Image denoising from,. Restoration, '' Proceedings of International Conference on Computer Analysis of images and Patterns CAIP09 Chan, Beverly A. lau, `` Deep Convolutional Nets for Document Classification. Processing, vol.49, pp image retrieval papers with code, Q. Hu, and N., Quality image retrieval papers with code photo enhancement in real-time ( < 2ms for 4K resolution images ) natural language a

Houston Law School Ranking, Manhattan Beach Shopping Center, Fuel Weight Per Gallon Chart, This Page Intentionally Left Blank Pdf, Boston College Special Teams, Munich National Theatre Tickets, Weather Paris, France July, Akaike Information Criterion Calculator, Grading Systems Compared, Neutrogena Correcting Cream, Belgium Eurovision 2022 Number,