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Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image | 196 | cvpr | 18 | 6 | 2023-06-03 02:42:56.978000 | https://github.com/scut-mingqinchen/self2self | 131 | Self2self with dropout: Learning self-supervised denoising from single image | https://scholar.google.com/scholar?cluster=15841357425275703413&hl=en&as_sdt=0,5 | 7 | 2,020 |
Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition | 78 | cvpr | 87 | 4 | 2023-06-03 02:42:57.178000 | https://github.com/Canjie-Luo/Text-Image-Augmentation | 449 | Learn to augment: Joint data augmentation and network optimization for text recognition | https://scholar.google.com/scholar?cluster=6720665817789430503&hl=en&as_sdt=0,10 | 19 | 2,020 |
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image | 19 | cvpr | 3 | 4 | 2023-06-03 02:42:57.378000 | https://github.com/guoyu-niubility/SVIN | 25 | A spatiotemporal volumetric interpolation network for 4d dynamic medical image | https://scholar.google.com/scholar?cluster=17469973808184263862&hl=en&as_sdt=0,6 | 2 | 2,020 |
Neural Pose Transfer by Spatially Adaptive Instance Normalization | 41 | cvpr | 19 | 8 | 2023-06-03 02:42:57.578000 | https://github.com/jiashunwang/Neural-Pose-Transfer | 137 | Neural pose transfer by spatially adaptive instance normalization | https://scholar.google.com/scholar?cluster=5895408154818468020&hl=en&as_sdt=0,31 | 8 | 2,020 |
PointGMM: A Neural GMM Network for Point Clouds | 52 | cvpr | 8 | 1 | 2023-06-03 02:42:57.779000 | https://github.com/amirhertz/pointgmm | 45 | Pointgmm: A neural gmm network for point clouds | https://scholar.google.com/scholar?cluster=12395944022757933812&hl=en&as_sdt=0,33 | 3 | 2,020 |
Where Am I Looking At? Joint Location and Orientation Estimation by Cross-View Matching | 88 | cvpr | 6 | 6 | 2023-06-03 02:42:57.982000 | https://github.com/shiyujiao/cross_view_localization_DSM | 46 | Where am i looking at? joint location and orientation estimation by cross-view matching | https://scholar.google.com/scholar?cluster=2592788529518726950&hl=en&as_sdt=0,33 | 4 | 2,020 |
RoutedFusion: Learning Real-Time Depth Map Fusion | 55 | cvpr | 18 | 4 | 2023-06-03 02:42:58.192000 | https://github.com/weders/RoutedFusion | 125 | Routedfusion: Learning real-time depth map fusion | https://scholar.google.com/scholar?cluster=2964830636646330816&hl=en&as_sdt=0,5 | 12 | 2,020 |
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels | 131 | cvpr | 8 | 8 | 2023-06-03 02:42:58.392000 | https://github.com/alex-xun-xu/WeakSupPointCloudSeg | 98 | Weakly supervised semantic point cloud segmentation: Towards 10x fewer labels | https://scholar.google.com/scholar?cluster=15233469619337801358&hl=en&as_sdt=0,14 | 9 | 2,020 |
Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance | 107 | cvpr | 9 | 1 | 2023-06-03 02:42:58.593000 | https://github.com/ZhengyuZhao/PerC-Adversarial | 50 | Towards large yet imperceptible adversarial image perturbations with perceptual color distance | https://scholar.google.com/scholar?cluster=9997585199758312284&hl=en&as_sdt=0,33 | 3 | 2,020 |
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective | 188 | cvpr | 4 | 2 | 2023-06-03 02:42:58.793000 | https://github.com/abdullahjamal/Longtail_DA | 22 | Rethinking class-balanced methods for long-tailed visual recognition from a domain adaptation perspective | https://scholar.google.com/scholar?cluster=2255644322777336647&hl=en&as_sdt=0,33 | 3 | 2,020 |
Gated Channel Transformation for Visual Recognition | 125 | cvpr | 26 | 0 | 2023-06-03 02:42:58.993000 | https://github.com/z-x-yang/GCT | 116 | Gated channel transformation for visual recognition | https://scholar.google.com/scholar?cluster=14632106519933169181&hl=en&as_sdt=0,5 | 6 | 2,020 |
Softmax Splatting for Video Frame Interpolation | 220 | cvpr | 57 | 2 | 2023-06-03 02:42:59.193000 | https://github.com/sniklaus/softmax-splatting | 368 | Softmax splatting for video frame interpolation | https://scholar.google.com/scholar?cluster=5412503042993292983&hl=en&as_sdt=0,47 | 17 | 2,020 |
Can Deep Learning Recognize Subtle Human Activities? | 9 | cvpr | 2 | 0 | 2023-06-03 02:42:59.392000 | https://github.com/kreimanlab/DeepLearning-vs-HighLevelVision | 11 | Can deep learning recognize subtle human activities? | https://scholar.google.com/scholar?cluster=2871468803034414570&hl=en&as_sdt=0,33 | 3 | 2,020 |
BiDet: An Efficient Binarized Object Detector | 48 | cvpr | 33 | 5 | 2023-06-03 02:42:59.593000 | https://github.com/ZiweiWangTHU/BiDet | 167 | Bidet: An efficient binarized object detector | https://scholar.google.com/scholar?cluster=3965514242665564617&hl=en&as_sdt=0,5 | 9 | 2,020 |
A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection | 81 | cvpr | 10 | 31 | 2023-06-03 02:42:59.793000 | https://github.com/eraserNut/MTMT | 81 | A multi-task mean teacher for semi-supervised shadow detection | https://scholar.google.com/scholar?cluster=13302143660272490203&hl=en&as_sdt=0,33 | 7 | 2,020 |
Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization | 312 | cvpr | 18 | 2 | 2023-06-03 02:42:59.993000 | https://github.com/hongxin001/JoCoR | 116 | Combating noisy labels by agreement: A joint training method with co-regularization | https://scholar.google.com/scholar?cluster=8672051314340970870&hl=en&as_sdt=0,11 | 3 | 2,020 |
Searching for Actions on the Hyperbole | 31 | cvpr | 3 | 3 | 2023-06-03 02:43:00.193000 | https://github.com/Tenglon/hyperbolic_action | 12 | Searching for actions on the hyperbole | https://scholar.google.com/scholar?cluster=17402068943209033206&hl=en&as_sdt=0,40 | 2 | 2,020 |
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution | 297 | cvpr | 99 | 0 | 2023-06-03 02:43:00.393000 | https://github.com/guoyongcs/DRN | 420 | Closed-loop matters: Dual regression networks for single image super-resolution | https://scholar.google.com/scholar?cluster=18061404949489143219&hl=en&as_sdt=0,45 | 18 | 2,020 |
Superpixel Segmentation With Fully Convolutional Networks | 138 | cvpr | 79 | 0 | 2023-06-03 02:43:00.594000 | https://github.com/fuy34/superpixel_fcn | 337 | Superpixel segmentation with fully convolutional networks | https://scholar.google.com/scholar?cluster=17254136433445243811&hl=en&as_sdt=0,15 | 6 | 2,020 |
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans | 102 | cvpr | 23 | 3 | 2023-06-03 02:43:00.795000 | https://github.com/angeladai/sgnn | 170 | Sg-nn: Sparse generative neural networks for self-supervised scene completion of rgb-d scans | https://scholar.google.com/scholar?cluster=4891876313591120438&hl=en&as_sdt=0,23 | 13 | 2,020 |
ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection | 154 | cvpr | 49 | 17 | 2023-06-03 02:43:00.995000 | https://github.com/wangyuxin87/ContourNet | 214 | Contournet: Taking a further step toward accurate arbitrary-shaped scene text detection | https://scholar.google.com/scholar?cluster=10407924981028323116&hl=en&as_sdt=0,10 | 14 | 2,020 |
Wavelet Integrated CNNs for Noise-Robust Image Classification | 98 | cvpr | 15 | 12 | 2023-06-03 02:43:01.195000 | https://github.com/LiQiufu/WaveCNet | 88 | Wavelet integrated CNNs for noise-robust image classification | https://scholar.google.com/scholar?cluster=5545254318212756783&hl=en&as_sdt=0,11 | 3 | 2,020 |
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End | 79 | cvpr | 14 | 2 | 2023-06-03 02:43:01.396000 | https://github.com/abdo-eldesokey/pncnn | 82 | Uncertainty-aware cnns for depth completion: Uncertainty from beginning to end | https://scholar.google.com/scholar?cluster=13541424700079169022&hl=en&as_sdt=0,5 | 2 | 2,020 |
Deep Snake for Real-Time Instance Segmentation | 231 | cvpr | 226 | 0 | 2023-06-03 02:43:01.596000 | https://github.com/zju3dv/snake | 1,107 | Deep snake for real-time instance segmentation | https://scholar.google.com/scholar?cluster=11877838671373541982&hl=en&as_sdt=0,22 | 51 | 2,020 |
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax | 195 | cvpr | 63 | 21 | 2023-06-03 02:43:01.797000 | https://github.com/FishYuLi/BalancedGroupSoftmax | 346 | Overcoming classifier imbalance for long-tail object detection with balanced group softmax | https://scholar.google.com/scholar?cluster=241324425955768124&hl=en&as_sdt=0,47 | 12 | 2,020 |
Camera Trace Erasing | 16 | cvpr | 3 | 1 | 2023-06-03 02:43:01.998000 | https://github.com/ngchc/CameraTE | 8 | Camera trace erasing | https://scholar.google.com/scholar?cluster=2544710194731719584&hl=en&as_sdt=0,11 | 5 | 2,020 |
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering | 196 | cvpr | 0 | 0 | 2023-06-03 02:43:02.198000 | https://github.com/huitangtang/SRDC-CVPR2020 | 1 | Unsupervised domain adaptation via structurally regularized deep clustering | https://scholar.google.com/scholar?cluster=6363086439618954977&hl=en&as_sdt=0,33 | 1 | 2,020 |
Symmetry and Group in Attribute-Object Compositions | 68 | cvpr | 5 | 1 | 2023-06-03 02:43:02.399000 | https://github.com/DirtyHarryLYL/SymNet | 47 | Symmetry and group in attribute-object compositions | https://scholar.google.com/scholar?cluster=16870815556752021056&hl=en&as_sdt=0,21 | 7 | 2,020 |
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation | 146 | cvpr | 25 | 6 | 2023-06-03 02:43:02.599000 | https://github.com/HyeongminLEE/AdaCoF-pytorch | 161 | Adacof: Adaptive collaboration of flows for video frame interpolation | https://scholar.google.com/scholar?cluster=10771538884046797245&hl=en&as_sdt=0,5 | 9 | 2,020 |
Blurry Video Frame Interpolation | 70 | cvpr | 24 | 1 | 2023-06-03 02:43:02.799000 | https://github.com/laomao0/BIN | 198 | Blurry video frame interpolation | https://scholar.google.com/scholar?cluster=12096278443404837492&hl=en&as_sdt=0,9 | 9 | 2,020 |
Learning to Learn Single Domain Generalization | 260 | cvpr | 26 | 11 | 2023-06-03 02:43:03 | https://github.com/joffery/M-ADA | 129 | Learning to learn single domain generalization | https://scholar.google.com/scholar?cluster=14587848551854785624&hl=en&as_sdt=0,5 | 11 | 2,020 |
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation | 484 | cvpr | 262 | 72 | 2023-06-03 02:43:03.200000 | https://github.com/HRNet/Higher-HRNet-Human-Pose-Estimation | 1,188 | Higherhrnet: Scale-aware representation learning for bottom-up human pose estimation | https://scholar.google.com/scholar?cluster=15368170985283079245&hl=en&as_sdt=0,36 | 47 | 2,020 |
CNN-Generated Images Are Surprisingly Easy to Spot... for Now | 550 | cvpr | 150 | 15 | 2023-06-03 02:43:03.404000 | https://github.com/PeterWang512/CNNDetection | 683 | CNN-generated images are surprisingly easy to spot... for now | https://scholar.google.com/scholar?cluster=6504477120744697567&hl=en&as_sdt=0,36 | 22 | 2,020 |
One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples | 24 | cvpr | 5 | 1 | 2023-06-03 02:43:03.606000 | https://github.com/a554b554/DefenseByAttack | 6 | One man's trash is another man's treasure: Resisting adversarial examples by adversarial examples | https://scholar.google.com/scholar?cluster=17905691031782291050&hl=en&as_sdt=0,44 | 2 | 2,020 |
Image Processing Using Multi-Code GAN Prior | 244 | cvpr | 44 | 12 | 2023-06-03 02:43:03.807000 | https://github.com/genforce/mganprior | 288 | Image processing using multi-code gan prior | https://scholar.google.com/scholar?cluster=10065538952107776043&hl=en&as_sdt=0,5 | 14 | 2,020 |
Rethinking Performance Estimation in Neural Architecture Search | 22 | cvpr | 21 | 3 | 2023-06-03 02:43:04.008000 | https://github.com/zhengxiawu/rethinking_performance_estimation_in_NAS | 164 | Rethinking performance estimation in neural architecture search | https://scholar.google.com/scholar?cluster=15122321645117188815&hl=en&as_sdt=0,5 | 4 | 2,020 |
ColorFool: Semantic Adversarial Colorization | 84 | cvpr | 10 | 2 | 2023-06-03 02:43:04.208000 | https://github.com/smartcameras/ColorFool | 48 | Colorfool: Semantic adversarial colorization | https://scholar.google.com/scholar?cluster=9584849271056226945&hl=en&as_sdt=0,5 | 3 | 2,020 |
Bi3D: Stereo Depth Estimation via Binary Classifications | 62 | cvpr | 25 | 7 | 2023-06-03 02:43:04.408000 | https://github.com/NVlabs/Bi3D | 150 | Bi3d: Stereo depth estimation via binary classifications | https://scholar.google.com/scholar?cluster=11709717789111168184&hl=en&as_sdt=0,33 | 26 | 2,020 |
Probability Weighted Compact Feature for Domain Adaptive Retrieval | 28 | cvpr | 9 | 1 | 2023-06-03 02:43:04.609000 | https://github.com/fuxianghuang1/PWCF | 20 | Probability weighted compact feature for domain adaptive retrieval | https://scholar.google.com/scholar?cluster=5336430328985289253&hl=en&as_sdt=0,33 | 5 | 2,020 |
Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion | 64 | cvpr | 24 | 9 | 2023-06-03 02:43:04.809000 | https://github.com/AdamKortylewski/CompositionalNets | 104 | Compositional convolutional neural networks: A deep architecture with innate robustness to partial occlusion | https://scholar.google.com/scholar?cluster=6915140898194313831&hl=en&as_sdt=0,44 | 2 | 2,020 |
Norm-Aware Embedding for Efficient Person Search | 83 | cvpr | 14 | 5 | 2023-06-03 02:43:05.010000 | https://github.com/DeanChan/NAE4PS | 80 | Norm-aware embedding for efficient person search | https://scholar.google.com/scholar?cluster=8630034257442391060&hl=en&as_sdt=0,14 | 3 | 2,020 |
Syntax-Aware Action Targeting for Video Captioning | 125 | cvpr | 22 | 5 | 2023-06-03 02:43:05.210000 | https://github.com/SydCaption/SAAT | 60 | Syntax-aware action targeting for video captioning | https://scholar.google.com/scholar?cluster=9591332838374549550&hl=en&as_sdt=0,5 | 6 | 2,020 |
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction | 207 | cvpr | 27 | 12 | 2023-06-03 02:43:05.410000 | https://github.com/limaosen0/DMGNN | 122 | Dynamic multiscale graph neural networks for 3d skeleton based human motion prediction | https://scholar.google.com/scholar?cluster=4881783104692242403&hl=en&as_sdt=0,36 | 7 | 2,020 |
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes From a Single Image | 134 | cvpr | 47 | 22 | 2023-06-03 02:43:05.611000 | https://github.com/yinyunie/Total3DUnderstanding | 363 | Total3dunderstanding: Joint layout, object pose and mesh reconstruction for indoor scenes from a single image | https://scholar.google.com/scholar?cluster=11056192555834324480&hl=en&as_sdt=0,39 | 12 | 2,020 |
GPS-Net: Graph Property Sensing Network for Scene Graph Generation | 149 | cvpr | 8 | 0 | 2023-06-03 02:43:05.811000 | https://github.com/taksau/GPS-Net | 56 | Gps-net: Graph property sensing network for scene graph generation | https://scholar.google.com/scholar?cluster=6322890861074553647&hl=en&as_sdt=0,15 | 5 | 2,020 |
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination | 60 | cvpr | 5 | 2 | 2023-06-03 02:43:06.011000 | https://github.com/pratulsrinivasan/lighthouse | 69 | Lighthouse: Predicting lighting volumes for spatially-coherent illumination | https://scholar.google.com/scholar?cluster=11152875383538691690&hl=en&as_sdt=0,25 | 5 | 2,020 |
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification | 188 | cvpr | 18 | 1 | 2023-06-03 02:43:06.212000 | https://github.com/bismex/HiCMD | 74 | Hi-CMD: Hierarchical cross-modality disentanglement for visible-infrared person re-identification | https://scholar.google.com/scholar?cluster=11531598637713869801&hl=en&as_sdt=0,43 | 4 | 2,020 |
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes | 33 | cvpr | 16 | 4 | 2023-06-03 02:43:06.412000 | https://github.com/lzqsd/TransparentShapeReconstruction | 108 | Through the looking glass: Neural 3d reconstruction of transparent shapes | https://scholar.google.com/scholar?cluster=4451887168503458192&hl=en&as_sdt=0,5 | 10 | 2,020 |
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition | 90 | cvpr | 8 | 4 | 2023-06-03 02:43:06.612000 | https://github.com/ShaoTengLiu/Hyperbolic_ZSL | 65 | Hyperbolic visual embedding learning for zero-shot recognition | https://scholar.google.com/scholar?cluster=3675190322231427239&hl=en&as_sdt=0,23 | 6 | 2,020 |
Clean-Label Backdoor Attacks on Video Recognition Models | 170 | cvpr | 3 | 1 | 2023-06-03 02:43:06.814000 | https://github.com/ShihaoZhaoZSH/Video-Backdoor-Attack | 35 | Clean-label backdoor attacks on video recognition models | https://scholar.google.com/scholar?cluster=12989936269315644810&hl=en&as_sdt=0,39 | 3 | 2,020 |
RPM-Net: Robust Point Matching Using Learned Features | 257 | cvpr | 55 | 18 | 2023-06-03 02:43:07.015000 | https://github.com/yewzijian/RPMNet | 261 | Rpm-net: Robust point matching using learned features | https://scholar.google.com/scholar?cluster=1833782385864625577&hl=en&as_sdt=0,21 | 15 | 2,020 |
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation | 171 | cvpr | 109 | 1 | 2023-06-03 02:43:07.215000 | https://github.com/m-tassano/fastdvdnet | 464 | Fastdvdnet: Towards real-time deep video denoising without flow estimation | https://scholar.google.com/scholar?cluster=17981991911827164634&hl=en&as_sdt=0,47 | 11 | 2,020 |
Weakly-Supervised Semantic Segmentation via Sub-Category Exploration | 201 | cvpr | 16 | 15 | 2023-06-03 02:43:07.416000 | https://github.com/Juliachang/SC-CAM | 171 | Weakly-supervised semantic segmentation via sub-category exploration | https://scholar.google.com/scholar?cluster=3841587906806965072&hl=en&as_sdt=0,5 | 15 | 2,020 |
Understanding Human Hands in Contact at Internet Scale | 152 | cvpr | 49 | 13 | 2023-06-03 02:43:07.617000 | https://github.com/ddshan/hand_object_detector | 179 | Understanding human hands in contact at internet scale | https://scholar.google.com/scholar?cluster=7440647218724115290&hl=en&as_sdt=0,5 | 3 | 2,020 |
Normalizing Flows With Multi-Scale Autoregressive Priors | 7 | cvpr | 3 | 0 | 2023-06-03 02:43:07.818000 | https://github.com/visinf/mar-scf | 12 | Normalizing flows with multi-scale autoregressive priors | https://scholar.google.com/scholar?cluster=13193500579133703150&hl=en&as_sdt=0,44 | 2 | 2,020 |
Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation | 423 | cvpr | 89 | 14 | 2023-06-03 02:43:08.018000 | https://github.com/YudeWang/SEAM | 476 | Self-supervised equivariant attention mechanism for weakly supervised semantic segmentation | https://scholar.google.com/scholar?cluster=14106391617252066537&hl=en&as_sdt=0,10 | 9 | 2,020 |
Dynamic Neural Relational Inference | 33 | cvpr | 18 | 3 | 2023-06-03 02:43:08.218000 | https://github.com/cgraber/cvpr_dNRI | 55 | Dynamic neural relational inference | https://scholar.google.com/scholar?cluster=16082332557255209772&hl=en&as_sdt=0,34 | 3 | 2,020 |
TBT: Targeted Neural Network Attack With Bit Trojan | 149 | cvpr | 3 | 0 | 2023-06-03 02:43:08.418000 | https://github.com/adnansirajrakin/TBT-2020 | 12 | Tbt: Targeted neural network attack with bit trojan | https://scholar.google.com/scholar?cluster=17783112366316447654&hl=en&as_sdt=0,5 | 2 | 2,020 |
Central Similarity Quantization for Efficient Image and Video Retrieval | 184 | cvpr | 45 | 25 | 2023-06-03 02:43:08.619000 | https://github.com/yuanli2333/Hadamard-Matrix-for-hashing | 213 | Central similarity quantization for efficient image and video retrieval | https://scholar.google.com/scholar?cluster=849092170265612535&hl=en&as_sdt=0,16 | 9 | 2,020 |
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning | 47 | cvpr | 9 | 0 | 2023-06-03 02:43:08.819000 | https://github.com/clovaai/embedding-expansion | 70 | Embedding expansion: Augmentation in embedding space for deep metric learning | https://scholar.google.com/scholar?cluster=2367694731347282983&hl=en&as_sdt=0,33 | 6 | 2,020 |
End-to-End Learning of Visual Representations From Uncurated Instructional Videos | 530 | cvpr | 29 | 7 | 2023-06-03 02:43:09.019000 | https://github.com/antoine77340/MIL-NCE_HowTo100M | 194 | End-to-end learning of visual representations from uncurated instructional videos | https://scholar.google.com/scholar?cluster=17582844079259155589&hl=en&as_sdt=0,5 | 10 | 2,020 |
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold | 67 | cvpr | 39 | 10 | 2023-06-03 02:43:09.220000 | https://github.com/IntuitionMachines/OrigamiNet | 136 | OrigamiNet: weakly-supervised, segmentation-free, one-step, full page text recognition by learning to unfold | https://scholar.google.com/scholar?cluster=15845525342391314185&hl=en&as_sdt=0,47 | 14 | 2,020 |
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics | 717 | cvpr | 38 | 5 | 2023-06-03 02:43:09.420000 | https://github.com/danmohaha/celeb-deepfakeforensics | 206 | Celeb-df: A large-scale challenging dataset for deepfake forensics | https://scholar.google.com/scholar?cluster=7508089290324359409&hl=en&as_sdt=0,47 | 5 | 2,020 |
Suppressing Uncertainties for Large-Scale Facial Expression Recognition | 384 | cvpr | 96 | 63 | 2023-06-03 02:43:09.620000 | https://github.com/kaiwang960112/Self-Cure-Network | 394 | Suppressing uncertainties for large-scale facial expression recognition | https://scholar.google.com/scholar?cluster=1497632452874253304&hl=en&as_sdt=0,47 | 10 | 2,020 |
Improved Few-Shot Visual Classification | 158 | cvpr | 15 | 0 | 2023-06-03 02:43:09.821000 | https://github.com/plai-group/simple-cnaps | 44 | Improved few-shot visual classification | https://scholar.google.com/scholar?cluster=10179566061976639313&hl=en&as_sdt=0,33 | 8 | 2,020 |
Towards Backward-Compatible Representation Learning | 62 | cvpr | 9 | 0 | 2023-06-03 02:43:10.021000 | https://github.com/YantaoShen/openBCT | 55 | Towards backward-compatible representation learning | https://scholar.google.com/scholar?cluster=11261409184426923278&hl=en&as_sdt=0,34 | 7 | 2,020 |
Visual Chirality | 23 | cvpr | 14 | 0 | 2023-06-03 02:43:10.222000 | https://github.com/linzhiqiu/digital_chirality | 89 | Visual chirality | https://scholar.google.com/scholar?cluster=7394456161620427993&hl=en&as_sdt=0,23 | 3 | 2,020 |
Neural Architecture Search for Lightweight Non-Local Networks | 54 | cvpr | 16 | 0 | 2023-06-03 02:43:10.423000 | https://github.com/LiYingwei/AutoNL | 105 | Neural architecture search for lightweight non-local networks | https://scholar.google.com/scholar?cluster=12383596481862216698&hl=en&as_sdt=0,43 | 7 | 2,020 |
Multi-Domain Learning for Accurate and Few-Shot Color Constancy | 43 | cvpr | 2 | 3 | 2023-06-03 02:43:10.623000 | https://github.com/msxiaojin/MDLCC | 13 | Multi-domain learning for accurate and few-shot color constancy | https://scholar.google.com/scholar?cluster=6271057423741121743&hl=en&as_sdt=0,5 | 3 | 2,020 |
UniPose: Unified Human Pose Estimation in Single Images and Videos | 138 | cvpr | 41 | 15 | 2023-06-03 02:43:10.824000 | https://github.com/bmartacho/UniPose | 188 | Unipose: Unified human pose estimation in single images and videos | https://scholar.google.com/scholar?cluster=10578191787955309147&hl=en&as_sdt=0,33 | 10 | 2,020 |
Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm | 158 | cvpr | 14 | 4 | 2023-06-03 02:43:11.024000 | https://github.com/xaggi/OGNet | 77 | Old is gold: Redefining the adversarially learned one-class classifier training paradigm | https://scholar.google.com/scholar?cluster=11192774920568187037&hl=en&as_sdt=0,36 | 9 | 2,020 |
AdversarialNAS: Adversarial Neural Architecture Search for GANs | 63 | cvpr | 12 | 1 | 2023-06-03 02:43:11.224000 | https://github.com/chengaopro/AdversarialNAS | 70 | Adversarialnas: Adversarial neural architecture search for gans | https://scholar.google.com/scholar?cluster=9918291536670516118&hl=en&as_sdt=0,44 | 12 | 2,020 |
DSNAS: Direct Neural Architecture Search Without Parameter Retraining | 103 | cvpr | 24 | 3 | 2023-06-03 02:43:11.433000 | https://github.com/SNAS-Series/SNAS-Series | 134 | Dsnas: Direct neural architecture search without parameter retraining | https://scholar.google.com/scholar?cluster=7757218143839179820&hl=en&as_sdt=0,39 | 5 | 2,020 |
G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features | 59 | cvpr | 14 | 9 | 2023-06-03 02:43:11.633000 | https://github.com/DC1991/G2L_Net | 108 | G2l-net: Global to local network for real-time 6d pose estimation with embedding vector features | https://scholar.google.com/scholar?cluster=17831261992133196157&hl=en&as_sdt=0,5 | 11 | 2,020 |
SESS: Self-Ensembling Semi-Supervised 3D Object Detection | 88 | cvpr | 30 | 2 | 2023-06-03 02:43:11.833000 | https://github.com/Na-Z/sess | 128 | Sess: Self-ensembling semi-supervised 3d object detection | https://scholar.google.com/scholar?cluster=9564727493626498670&hl=en&as_sdt=0,33 | 7 | 2,020 |
DoveNet: Deep Image Harmonization via Domain Verification | 118 | cvpr | 96 | 0 | 2023-06-03 02:43:12.033000 | https://github.com/bcmi/Image_Harmonization_Datasets | 694 | Dovenet: Deep image harmonization via domain verification | https://scholar.google.com/scholar?cluster=18199597418789914925&hl=en&as_sdt=0,5 | 14 | 2,020 |
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation | 424 | cvpr | 117 | 14 | 2023-06-03 02:43:12.234000 | https://github.com/bowenc0221/panoptic-deeplab | 552 | Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation | https://scholar.google.com/scholar?cluster=18246305387780116611&hl=en&as_sdt=0,47 | 20 | 2,020 |
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning | 115 | cvpr | 13 | 0 | 2023-06-03 02:43:12.434000 | https://github.com/vcg-uvic/acne | 49 | Acne: Attentive context normalization for robust permutation-equivariant learning | https://scholar.google.com/scholar?cluster=17062235868798470161&hl=en&as_sdt=0,5 | 13 | 2,020 |
DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration | 54 | cvpr | 20 | 0 | 2023-06-03 02:43:12.635000 | https://github.com/jw4hv/deepflash | 82 | Deepflash: An efficient network for learning-based medical image registration | https://scholar.google.com/scholar?cluster=4528085594004647024&hl=en&as_sdt=0,5 | 4 | 2,020 |
Distribution-Aware Coordinate Representation for Human Pose Estimation | 313 | cvpr | 899 | 204 | 2023-06-03 02:43:12.835000 | https://github.com/leoxiaobin/deep-high-resolution-net.pytorch | 4,043 | Distribution-aware coordinate representation for human pose estimation | https://scholar.google.com/scholar?cluster=9532214621767113733&hl=en&as_sdt=0,36 | 78 | 2,020 |
Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction | 106 | cvpr | 34 | 12 | 2023-06-03 02:43:13.035000 | https://github.com/lrxjason/Attention3DHumanPose | 143 | Attention mechanism exploits temporal contexts: Real-time 3d human pose reconstruction | https://scholar.google.com/scholar?cluster=10723447341108778673&hl=en&as_sdt=0,11 | 11 | 2,020 |
MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask | 160 | cvpr | 74 | 12 | 2023-06-03 02:43:13.235000 | https://github.com/microsoft/MaskFlownet | 355 | Maskflownet: Asymmetric feature matching with learnable occlusion mask | https://scholar.google.com/scholar?cluster=13358090819819933445&hl=en&as_sdt=0,5 | 8 | 2,020 |
Diverse Image Generation via Self-Conditioned GANs | 78 | cvpr | 19 | 3 | 2023-06-03 02:43:13.435000 | https://github.com/stevliu/self-conditioned-gan | 149 | Diverse image generation via self-conditioned gans | https://scholar.google.com/scholar?cluster=7416192416492647206&hl=en&as_sdt=0,41 | 6 | 2,020 |
Context-Aware and Scale-Insensitive Temporal Repetition Counting | 21 | cvpr | 5 | 6 | 2023-06-03 02:43:13.636000 | https://github.com/Xiaodomgdomg/Deep-Temporal-Repetition-Counting | 43 | Context-aware and scale-insensitive temporal repetition counting | https://scholar.google.com/scholar?cluster=8283458455147015844&hl=en&as_sdt=0,5 | 4 | 2,020 |
3FabRec: Fast Few-Shot Face Alignment by Reconstruction | 58 | cvpr | 19 | 2 | 2023-06-03 02:43:13.837000 | https://github.com/browatbn2/3FabRec | 123 | 3fabrec: Fast few-shot face alignment by reconstruction | https://scholar.google.com/scholar?cluster=4960059173283160994&hl=en&as_sdt=0,5 | 8 | 2,020 |
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability | 21 | cvpr | 9 | 2 | 2023-06-03 02:43:14.037000 | https://github.com/zju-vipa/DEPARA | 39 | Depara: Deep attribution graph for deep knowledge transferability | https://scholar.google.com/scholar?cluster=8083980828241930895&hl=en&as_sdt=0,5 | 5 | 2,020 |
Video Panoptic Segmentation | 116 | cvpr | 55 | 13 | 2023-06-03 02:43:14.237000 | https://github.com/mcahny/vps | 293 | Video panoptic segmentation | https://scholar.google.com/scholar?cluster=17377067048222299228&hl=en&as_sdt=0,10 | 14 | 2,020 |
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition | 558 | cvpr | 94 | 2 | 2023-06-03 02:43:14.438000 | https://github.com/kenziyuliu/ms-g3d | 380 | Disentangling and unifying graph convolutions for skeleton-based action recognition | https://scholar.google.com/scholar?cluster=14188108076981434930&hl=en&as_sdt=0,5 | 16 | 2,020 |
Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure Image Using Synthetic Data | 39 | cvpr | 6 | 1 | 2023-06-03 02:43:14.639000 | https://github.com/Healthcare-Robotics/bodies-at-rest | 57 | Bodies at rest: 3d human pose and shape estimation from a pressure image using synthetic data | https://scholar.google.com/scholar?cluster=17853257753584764515&hl=en&as_sdt=0,5 | 7 | 2,020 |
Category-Level Articulated Object Pose Estimation | 127 | cvpr | 15 | 28 | 2023-06-03 02:43:14.839000 | https://github.com/dragonlong/articulated-pose | 102 | Category-level articulated object pose estimation | https://scholar.google.com/scholar?cluster=17839565446689433965&hl=en&as_sdt=0,34 | 7 | 2,020 |
Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks | 154 | cvpr | 38 | 3 | 2023-06-03 02:43:15.040000 | https://github.com/shachoi/HANet | 209 | Cars can't fly up in the sky: Improving urban-scene segmentation via height-driven attention networks | https://scholar.google.com/scholar?cluster=11925654838550651404&hl=en&as_sdt=0,44 | 11 | 2,020 |
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes | 212 | cvpr | 25 | 8 | 2023-06-03 02:43:15.239000 | https://github.com/facebookresearch/imvotenet | 104 | Imvotenet: Boosting 3d object detection in point clouds with image votes | https://scholar.google.com/scholar?cluster=4943660161491158315&hl=en&as_sdt=0,33 | 8 | 2,020 |
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation | 70 | cvpr | 26 | 3 | 2023-06-03 02:43:15.439000 | https://github.com/fabbrimatteo/LoCO | 131 | Compressed volumetric heatmaps for multi-person 3d pose estimation | https://scholar.google.com/scholar?cluster=11113820627927885466&hl=en&as_sdt=0,41 | 6 | 2,020 |
ZeroQ: A Novel Zero Shot Quantization Framework | 272 | cvpr | 50 | 17 | 2023-06-03 02:43:15.640000 | https://github.com/amirgholami/ZeroQ | 240 | Zeroq: A novel zero shot quantization framework | https://scholar.google.com/scholar?cluster=7591323665902876723&hl=en&as_sdt=0,39 | 17 | 2,020 |
Orthogonal Convolutional Neural Networks | 140 | cvpr | 13 | 4 | 2023-06-03 02:43:15.840000 | https://github.com/samaonline/Orthogonal-Convolutional-Neural-Networks | 95 | Orthogonal convolutional neural networks | https://scholar.google.com/scholar?cluster=3710519923763274746&hl=en&as_sdt=0,8 | 5 | 2,020 |
Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution | 76 | cvpr | 9 | 4 | 2023-06-03 02:43:16.041000 | https://github.com/JiangtaoNie/UAL | 27 | Unsupervised adaptation learning for hyperspectral imagery super-resolution | https://scholar.google.com/scholar?cluster=9047547779090001710&hl=en&as_sdt=0,5 | 2 | 2,020 |
Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning | 152 | cvpr | 10 | 3 | 2023-06-03 02:43:16.242000 | https://github.com/yuanyao366/PRP | 39 | Video playback rate perception for self-supervised spatio-temporal representation learning | https://scholar.google.com/scholar?cluster=9700994684284956285&hl=en&as_sdt=0,44 | 1 | 2,020 |
Just Go With the Flow: Self-Supervised Scene Flow Estimation | 111 | cvpr | 5 | 26 | 2023-06-03 02:43:16.442000 | https://github.com/HimangiM/Just-Go-with-the-Flow-Self-Supervised-Scene-Flow-Estimation | 51 | Just go with the flow: Self-supervised scene flow estimation | https://scholar.google.com/scholar?cluster=9069838352389120398&hl=en&as_sdt=0,5 | 4 | 2,020 |
StarGAN v2: Diverse Image Synthesis for Multiple Domains | 1,103 | cvpr | 629 | 96 | 2023-06-03 02:43:16.643000 | https://github.com/clovaai/stargan-v2 | 3,214 | Stargan v2: Diverse image synthesis for multiple domains | https://scholar.google.com/scholar?cluster=8553822083669968040&hl=en&as_sdt=0,34 | 82 | 2,020 |
Gradually Vanishing Bridge for Adversarial Domain Adaptation | 204 | cvpr | 9 | 6 | 2023-06-03 02:43:16.843000 | https://github.com/cuishuhao/GVB | 75 | Gradually vanishing bridge for adversarial domain adaptation | https://scholar.google.com/scholar?cluster=3008116530605957509&hl=en&as_sdt=0,48 | 5 | 2,020 |