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The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation | 127 | cvpr | 49 | 10 | 2023-06-03 02:43:37.171000 | https://github.com/HuangJunJie2017/UDP-Pose | 287 | The devil is in the details: Delving into unbiased data processing for human pose estimation | https://scholar.google.com/scholar?cluster=18010745089857323264&hl=en&as_sdt=0,5 | 10 | 2,020 |
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition | 172 | cvpr | 45 | 27 | 2023-06-03 02:43:37.372000 | https://github.com/Pay20Y/SEED | 163 | Seed: Semantics enhanced encoder-decoder framework for scene text recognition | https://scholar.google.com/scholar?cluster=13345330189856644630&hl=en&as_sdt=0,47 | 11 | 2,020 |
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization | 93 | cvpr | 8 | 0 | 2023-06-03 02:43:37.572000 | https://github.com/Saehyung-Lee/cifar10_challenge | 12 | Adversarial vertex mixup: Toward better adversarially robust generalization | https://scholar.google.com/scholar?cluster=434632984174982270&hl=en&as_sdt=0,6 | 1 | 2,020 |
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations | 39 | cvpr | 18 | 6 | 2023-06-03 02:43:37.774000 | https://github.com/gyshgx868/graph-ter | 56 | Graphter: Unsupervised learning of graph transformation equivariant representations via auto-encoding node-wise transformations | https://scholar.google.com/scholar?cluster=1198484586266735161&hl=en&as_sdt=0,33 | 7 | 2,020 |
iTAML: An Incremental Task-Agnostic Meta-learning Approach | 127 | cvpr | 14 | 5 | 2023-06-03 02:43:37.976000 | https://github.com/brjathu/iTAML | 91 | itaml: An incremental task-agnostic meta-learning approach | https://scholar.google.com/scholar?cluster=13903317510243634709&hl=en&as_sdt=0,50 | 3 | 2,020 |
Single Image Reflection Removal Through Cascaded Refinement | 88 | cvpr | 17 | 7 | 2023-06-03 02:43:38.177000 | https://github.com/JHL-HUST/IBCLN | 103 | Single image reflection removal through cascaded refinement | https://scholar.google.com/scholar?cluster=15885579593007132929&hl=en&as_sdt=0,21 | 8 | 2,020 |
GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction | 74 | cvpr | 345 | 12 | 2023-06-03 02:43:38.379000 | https://github.com/facebookresearch/fastMRI | 1,101 | GrappaNet: Combining parallel imaging with deep learning for multi-coil MRI reconstruction | https://scholar.google.com/scholar?cluster=15085105229863616742&hl=en&as_sdt=0,5 | 77 | 2,020 |
Distilled Semantics for Comprehensive Scene Understanding from Videos | 55 | cvpr | 12 | 5 | 2023-06-03 02:43:38.585000 | https://github.com/CVLAB-Unibo/omeganet | 57 | Distilled semantics for comprehensive scene understanding from videos | https://scholar.google.com/scholar?cluster=12147029063592298350&hl=en&as_sdt=0,39 | 13 | 2,020 |
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions | 246 | cvpr | 142 | 20 | 2023-06-03 02:43:38.786000 | https://github.com/facebookresearch/mobile-vision | 852 | Fbnetv2: Differentiable neural architecture search for spatial and channel dimensions | https://scholar.google.com/scholar?cluster=14734050071484694995&hl=en&as_sdt=0,33 | 46 | 2,020 |
VOLDOR: Visual Odometry From Log-Logistic Dense Optical Flow Residuals | 33 | cvpr | 48 | 3 | 2023-06-03 02:43:38.987000 | https://github.com/htkseason/VOLDOR | 364 | Voldor: Visual odometry from log-logistic dense optical flow residuals | https://scholar.google.com/scholar?cluster=1784635091325992885&hl=en&as_sdt=0,5 | 17 | 2,020 |
P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds | 96 | cvpr | 33 | 17 | 2023-06-03 02:43:39.188000 | https://github.com/HaozheQi/P2B | 175 | P2b: Point-to-box network for 3d object tracking in point clouds | https://scholar.google.com/scholar?cluster=735697306593238715&hl=en&as_sdt=0,38 | 7 | 2,020 |
Scale-Equalizing Pyramid Convolution for Object Detection | 90 | cvpr | 56 | 4 | 2023-06-03 02:43:39.388000 | https://github.com/jshilong/SEPC | 326 | Scale-equalizing pyramid convolution for object detection | https://scholar.google.com/scholar?cluster=443944663207581625&hl=en&as_sdt=0,5 | 13 | 2,020 |
Learning Selective Self-Mutual Attention for RGB-D Saliency Detection | 204 | cvpr | 8 | 6 | 2023-06-03 02:43:39.590000 | https://github.com/nnizhang/S2MA | 60 | Learning selective self-mutual attention for RGB-D saliency detection | https://scholar.google.com/scholar?cluster=14128598538897215193&hl=en&as_sdt=0,21 | 3 | 2,020 |
Learning to Transfer Texture From Clothing Images to 3D Humans | 80 | cvpr | 57 | 37 | 2023-06-03 02:43:39.791000 | https://github.com/aymenmir1/pix2surf | 294 | Learning to transfer texture from clothing images to 3d humans | https://scholar.google.com/scholar?cluster=12771096843818017968&hl=en&as_sdt=0,5 | 5 | 2,020 |
Semi-Supervised Learning for Few-Shot Image-to-Image Translation | 40 | cvpr | 5 | 2 | 2023-06-03 02:43:39.991000 | https://github.com/yaxingwang/SEMIT | 49 | Semi-supervised learning for few-shot image-to-image translation | https://scholar.google.com/scholar?cluster=2129382269487229002&hl=en&as_sdt=0,5 | 10 | 2,020 |
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning | 189 | cvpr | 87 | 14 | 2023-06-03 02:43:40.193000 | https://github.com/microsoft/DisentangledFaceGAN | 570 | Disentangled and controllable face image generation via 3d imitative-contrastive learning | https://scholar.google.com/scholar?cluster=15496471340661576046&hl=en&as_sdt=0,5 | 37 | 2,020 |
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning | 42 | cvpr | 2 | 1 | 2023-06-03 02:43:40.393000 | https://github.com/jspenmar/DeFeat-Net | 23 | Defeat-net: General monocular depth via simultaneous unsupervised representation learning | https://scholar.google.com/scholar?cluster=10482583096470600686&hl=en&as_sdt=0,44 | 2 | 2,020 |
Multi-Scale Interactive Network for Salient Object Detection | 445 | cvpr | 28 | 2 | 2023-06-03 02:43:40.593000 | https://github.com/lartpang/MINet | 223 | Multi-scale interactive network for salient object detection | https://scholar.google.com/scholar?cluster=1179192240058937367&hl=en&as_sdt=0,10 | 10 | 2,020 |
Regularizing Class-Wise Predictions via Self-Knowledge Distillation | 198 | cvpr | 22 | 4 | 2023-06-03 02:43:40.794000 | https://github.com/alinlab/cs-kd | 93 | Regularizing class-wise predictions via self-knowledge distillation | https://scholar.google.com/scholar?cluster=11350076008765834853&hl=en&as_sdt=0,5 | 6 | 2,020 |
Universal Source-Free Domain Adaptation | 206 | cvpr | 0 | 0 | 2023-06-03 02:43:40.995000 | https://github.com/val-iisc/usfda | 14 | Universal source-free domain adaptation | https://scholar.google.com/scholar?cluster=13396021133130094693&hl=en&as_sdt=0,33 | 12 | 2,020 |
Meta-Transfer Learning for Zero-Shot Super-Resolution | 235 | cvpr | 59 | 29 | 2023-06-03 02:43:41.195000 | https://github.com/JWSoh/MZSR | 254 | Meta-transfer learning for zero-shot super-resolution | https://scholar.google.com/scholar?cluster=4901353720515503142&hl=en&as_sdt=0,5 | 4 | 2,020 |
A Model-Driven Deep Neural Network for Single Image Rain Removal | 210 | cvpr | 21 | 8 | 2023-06-03 02:43:41.397000 | https://github.com/hongwang01/RCDNet | 156 | A model-driven deep neural network for single image rain removal | https://scholar.google.com/scholar?cluster=11451290027329888829&hl=en&as_sdt=0,41 | 7 | 2,020 |
Learning to Manipulate Individual Objects in an Image | 32 | cvpr | 0 | 0 | 2023-06-03 02:43:41.598000 | https://github.com/ChenYutongTHU/Learning-to-manipulate-individual-objects-in-an-image-Implementation | 12 | Learning to manipulate individual objects in an image | https://scholar.google.com/scholar?cluster=8469380198303178771&hl=en&as_sdt=0,33 | 4 | 2,020 |
High-Dimensional Convolutional Networks for Geometric Pattern Recognition | 32 | cvpr | 4 | 1 | 2023-06-03 02:43:41.799000 | https://github.com/chrischoy/HighDimConvNets | 34 | High-dimensional convolutional networks for geometric pattern recognition | https://scholar.google.com/scholar?cluster=4842349631480755356&hl=en&as_sdt=0,5 | 14 | 2,020 |
3D Photography Using Context-Aware Layered Depth Inpainting | 185 | cvpr | 1,097 | 98 | 2023-06-03 02:43:42 | https://github.com/vt-vl-lab/3d-photo-inpainting | 6,511 | 3d photography using context-aware layered depth inpainting | https://scholar.google.com/scholar?cluster=13896011424140202640&hl=en&as_sdt=0,10 | 147 | 2,020 |
AOWS: Adaptive and Optimal Network Width Search With Latency Constraints | 31 | cvpr | 4 | 0 | 2023-06-03 02:43:42.201000 | https://github.com/bermanmaxim/AOWS | 34 | Aows: Adaptive and optimal network width search with latency constraints | https://scholar.google.com/scholar?cluster=10309035712406235754&hl=en&as_sdt=0,5 | 5 | 2,020 |
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy | 150 | cvpr | 33 | 6 | 2023-06-03 02:43:42.401000 | https://github.com/mit-han-lab/apq | 141 | Apq: Joint search for network architecture, pruning and quantization policy | https://scholar.google.com/scholar?cluster=1374069721944449122&hl=en&as_sdt=0,14 | 11 | 2,020 |
Grid-GCN for Fast and Scalable Point Cloud Learning | 190 | cvpr | 24 | 10 | 2023-06-03 02:43:42.602000 | https://github.com/Xharlie/Grid-GCN | 177 | Grid-gcn for fast and scalable point cloud learning | https://scholar.google.com/scholar?cluster=531285662278739329&hl=en&as_sdt=0,5 | 11 | 2,020 |
Attentive Weights Generation for Few Shot Learning via Information Maximization | 88 | cvpr | 1 | 1 | 2023-06-03 02:43:42.803000 | https://github.com/Yiluan/AWGIM | 15 | Attentive weights generation for few shot learning via information maximization | https://scholar.google.com/scholar?cluster=9022059591117885883&hl=en&as_sdt=0,48 | 2 | 2,020 |
KFNet: Learning Temporal Camera Relocalization Using Kalman Filtering | 51 | cvpr | 28 | 3 | 2023-06-03 02:43:43.004000 | https://github.com/zlthinker/KFNet | 204 | Kfnet: Learning temporal camera relocalization using kalman filtering | https://scholar.google.com/scholar?cluster=653147639240971150&hl=en&as_sdt=0,5 | 8 | 2,020 |
Semantic Correspondence as an Optimal Transport Problem | 90 | cvpr | 10 | 4 | 2023-06-03 02:43:43.204000 | https://github.com/csyanbin/SCOT | 95 | Semantic correspondence as an optimal transport problem | https://scholar.google.com/scholar?cluster=200912752079271114&hl=en&as_sdt=0,47 | 1 | 2,020 |
SuperGlue: Learning Feature Matching With Graph Neural Networks | 1,068 | cvpr | 547 | 40 | 2023-06-03 02:43:43.405000 | https://github.com/magicleap/SuperGluePretrainedNetwork | 2,486 | Superglue: Learning feature matching with graph neural networks | https://scholar.google.com/scholar?cluster=15521088276096645515&hl=en&as_sdt=0,5 | 58 | 2,020 |
Improving Confidence Estimates for Unfamiliar Examples | 35 | cvpr | 1 | 0 | 2023-06-03 02:43:43.606000 | https://github.com/lizhitwo/ConfidenceEstimates | 11 | Improving confidence estimates for unfamiliar examples | https://scholar.google.com/scholar?cluster=12998595608002202111&hl=en&as_sdt=0,39 | 2 | 2,020 |
How Useful Is Self-Supervised Pretraining for Visual Tasks? | 91 | cvpr | 3 | 1 | 2023-06-03 02:43:43.806000 | https://github.com/princeton-vl/selfstudy | 59 | How useful is self-supervised pretraining for visual tasks? | https://scholar.google.com/scholar?cluster=464561574781045149&hl=en&as_sdt=0,10 | 10 | 2,020 |
Learning to Segment the Tail | 62 | cvpr | 6 | 1 | 2023-06-03 02:43:44.006000 | https://github.com/JoyHuYY1412/LST_LVIS | 46 | Learning to segment the tail | https://scholar.google.com/scholar?cluster=14793983145216247407&hl=en&as_sdt=0,5 | 3 | 2,020 |
Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation | 91 | cvpr | 22 | 0 | 2023-06-03 02:43:44.207000 | https://github.com/cmhungsteve/SSTDA | 151 | Action segmentation with joint self-supervised temporal domain adaptation | https://scholar.google.com/scholar?cluster=1572542229157505218&hl=en&as_sdt=0,5 | 10 | 2,020 |
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks | 385 | cvpr | 66 | 17 | 2023-06-03 02:43:44.408000 | https://github.com/askforalfred/alfred | 241 | Alfred: A benchmark for interpreting grounded instructions for everyday tasks | https://scholar.google.com/scholar?cluster=10541831682119160249&hl=en&as_sdt=0,36 | 16 | 2,020 |
MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices | 49 | cvpr | 46,274 | 1,204 | 2023-06-03 02:43:44.608000 | https://github.com/tensorflow/models | 75,883 | Mnasfpn: Learning latency-aware pyramid architecture for object detection on mobile devices | https://scholar.google.com/scholar?cluster=15212100434147300168&hl=en&as_sdt=0,10 | 2,774 | 2,020 |
Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes | 140 | cvpr | 39 | 2 | 2023-06-03 02:43:44.815000 | https://github.com/rajeevyasarla/Syn2Real | 130 | Syn2real transfer learning for image deraining using gaussian processes | https://scholar.google.com/scholar?cluster=13979737242954461405&hl=en&as_sdt=0,5 | 3 | 2,020 |
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression | 164 | cvpr | 13 | 4 | 2023-06-03 02:43:45.016000 | https://github.com/ofsoundof/group_sparsity | 55 | Group sparsity: The hinge between filter pruning and decomposition for network compression | https://scholar.google.com/scholar?cluster=185943989367242161&hl=en&as_sdt=0,33 | 5 | 2,020 |
On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks | 48 | cvpr | 12 | 7 | 2023-06-03 02:43:45.217000 | https://github.com/skywalker6174/3d-isometry-robust | 22 | On isometry robustness of deep 3d point cloud models under adversarial attacks | https://scholar.google.com/scholar?cluster=17634312630840810623&hl=en&as_sdt=0,33 | 3 | 2,020 |
P-nets: Deep Polynomial Neural Networks | 51 | cvpr | 31 | 5 | 2023-06-03 02:43:45.418000 | https://github.com/grigorisg9gr/polynomial_nets | 144 | P-nets: Deep polynomial neural networks | https://scholar.google.com/scholar?cluster=10054840496985054567&hl=en&as_sdt=0,26 | 6 | 2,020 |
Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data | 6 | cvpr | 1 | 0 | 2023-06-03 02:43:45.619000 | https://github.com/verlab/StraightToThePoint_CVPR_2020 | 8 | Straight to the point: Fast-forwarding videos via reinforcement learning using textual data | https://scholar.google.com/scholar?cluster=4421532250936590050&hl=en&as_sdt=0,33 | 4 | 2,020 |
Self-Supervised Viewpoint Learning From Image Collections | 37 | cvpr | 28 | 2 | 2023-06-03 02:43:45.820000 | https://github.com/NVlabs/SSV | 215 | Self-supervised viewpoint learning from image collections | https://scholar.google.com/scholar?cluster=546931561469949809&hl=en&as_sdt=0,8 | 22 | 2,020 |
G3AN: Disentangling Appearance and Motion for Video Generation | 59 | cvpr | 8 | 4 | 2023-06-03 02:43:46.020000 | https://github.com/wyhsirius/g3an-project | 36 | G3AN: Disentangling appearance and motion for video generation | https://scholar.google.com/scholar?cluster=1852334605769980573&hl=en&as_sdt=0,33 | 6 | 2,020 |
SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings | 10 | cvpr | 8 | 1 | 2023-06-03 02:43:46.222000 | https://github.com/ai4ce/SPARE3D | 48 | Spare3d: A dataset for spatial reasoning on three-view line drawings | https://scholar.google.com/scholar?cluster=6953548346558587780&hl=en&as_sdt=0,5 | 7 | 2,020 |
On the Uncertainty of Self-Supervised Monocular Depth Estimation | 152 | cvpr | 24 | 7 | 2023-06-03 02:43:46.423000 | https://github.com/mattpoggi/mono-uncertainty | 215 | On the uncertainty of self-supervised monocular depth estimation | https://scholar.google.com/scholar?cluster=17564970690624367035&hl=en&as_sdt=0,5 | 8 | 2,020 |
DeepFaceFlow: In-the-Wild Dense 3D Facial Motion Estimation | 8 | cvpr | 4 | 3 | 2023-06-03 02:43:46.623000 | https://github.com/mrkoujan/DeepFaceFlow | 80 | DeepFaceFlow: in-the-wild dense 3D facial motion estimation | https://scholar.google.com/scholar?cluster=2315487414431800146&hl=en&as_sdt=0,5 | 21 | 2,020 |
StegaStamp: Invisible Hyperlinks in Physical Photographs | 166 | cvpr | 164 | 25 | 2023-06-03 02:43:46.824000 | https://github.com/tancik/StegaStamp | 556 | Stegastamp: Invisible hyperlinks in physical photographs | https://scholar.google.com/scholar?cluster=9141986600005221060&hl=en&as_sdt=0,33 | 15 | 2,020 |
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model | 202 | cvpr | 22 | 9 | 2023-06-03 02:43:47.025000 | https://github.com/BoPang1996/TubeTK | 138 | Tubetk: Adopting tubes to track multi-object in a one-step training model | https://scholar.google.com/scholar?cluster=9897780157833606863&hl=en&as_sdt=0,10 | 9 | 2,020 |
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection | 160 | cvpr | 45 | 10 | 2023-06-03 02:43:47.226000 | https://github.com/NVlabs/wetectron | 348 | Instance-aware, context-focused, and memory-efficient weakly supervised object detection | https://scholar.google.com/scholar?cluster=13727446774856898528&hl=en&as_sdt=0,33 | 31 | 2,020 |
Anisotropic Convolutional Networks for 3D Semantic Scene Completion | 37 | cvpr | 14 | 5 | 2023-06-03 02:43:47.427000 | https://github.com/waterljwant/SSC | 81 | Anisotropic convolutional networks for 3d semantic scene completion | https://scholar.google.com/scholar?cluster=12549089821990650739&hl=en&as_sdt=0,23 | 5 | 2,020 |
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation | 175 | cvpr | 13 | 7 | 2023-06-03 02:43:47.628000 | https://github.com/SHI-Labs/Unsupervised-Domain-Adaptation-with-Differential-Treatment | 81 | Differential treatment for stuff and things: A simple unsupervised domain adaptation method for semantic segmentation | https://scholar.google.com/scholar?cluster=15596513768387323912&hl=en&as_sdt=0,5 | 8 | 2,020 |
Cascaded Refinement Network for Point Cloud Completion | 178 | cvpr | 2 | 1 | 2023-06-03 02:43:47.829000 | https://github.com/xiaogangw/cascaded-point-completion | 18 | Cascaded refinement network for point cloud completion | https://scholar.google.com/scholar?cluster=15354810067135987183&hl=en&as_sdt=0,5 | 1 | 2,020 |
Video Object Grounding Using Semantic Roles in Language Description | 36 | cvpr | 7 | 1 | 2023-06-03 02:43:48.029000 | https://github.com/TheShadow29/vognet-pytorch | 67 | Video object grounding using semantic roles in language description | https://scholar.google.com/scholar?cluster=11262259591850878257&hl=en&as_sdt=0,5 | 4 | 2,020 |
Rotation Equivariant Graph Convolutional Network for Spherical Image Classification | 28 | cvpr | 0 | 1 | 2023-06-03 02:43:48.230000 | https://github.com/QinYang12/SGCN | 14 | Rotation equivariant graph convolutional network for spherical image classification | https://scholar.google.com/scholar?cluster=6340965602733917547&hl=en&as_sdt=0,5 | 6 | 2,020 |
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks | 178 | cvpr | 59 | 3 | 2023-06-03 02:43:48.431000 | https://github.com/akanimax/msg-stylegan-tf | 258 | Msg-gan: Multi-scale gradients for generative adversarial networks | https://scholar.google.com/scholar?cluster=17634072045755762910&hl=en&as_sdt=0,44 | 14 | 2,020 |
DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing | 209 | cvpr | 26 | 5 | 2023-06-03 02:43:48.632000 | https://github.com/B1ueber2y/DIST-Renderer | 209 | Dist: Rendering deep implicit signed distance function with differentiable sphere tracing | https://scholar.google.com/scholar?cluster=1091979672567186905&hl=en&as_sdt=0,5 | 12 | 2,020 |
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation | 94 | cvpr | 34 | 5 | 2023-06-03 02:43:48.833000 | https://github.com/zju3dv/disprcnn | 202 | Disp r-cnn: Stereo 3d object detection via shape prior guided instance disparity estimation | https://scholar.google.com/scholar?cluster=9023656501136172103&hl=en&as_sdt=0,5 | 12 | 2,020 |
Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection | 247 | cvpr | 10 | 9 | 2023-06-03 02:43:49.033000 | https://github.com/moothes/ITSD-pytorch | 67 | Interactive two-stream decoder for accurate and fast saliency detection | https://scholar.google.com/scholar?cluster=2698893050538436365&hl=en&as_sdt=0,5 | 4 | 2,020 |
Episode-Based Prototype Generating Network for Zero-Shot Learning | 128 | cvpr | 6 | 4 | 2023-06-03 02:43:49.235000 | https://github.com/yunlongyu/EPGN | 24 | Episode-based prototype generating network for zero-shot learning | https://scholar.google.com/scholar?cluster=15377338687069834231&hl=en&as_sdt=0,31 | 2 | 2,020 |
ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation | 109 | cvpr | 25 | 4 | 2023-06-03 02:43:49.436000 | https://github.com/nihalsid/ViewAL | 132 | Viewal: Active learning with viewpoint entropy for semantic segmentation | https://scholar.google.com/scholar?cluster=13436330028069882717&hl=en&as_sdt=0,44 | 8 | 2,020 |
A U-Net Based Discriminator for Generative Adversarial Networks | 215 | cvpr | 53 | 8 | 2023-06-03 02:43:49.637000 | https://github.com/boschresearch/unetgan | 326 | A u-net based discriminator for generative adversarial networks | https://scholar.google.com/scholar?cluster=6120539919740151426&hl=en&as_sdt=0,37 | 8 | 2,020 |
Semi-Supervised Semantic Segmentation With Cross-Consistency Training | 414 | cvpr | 54 | 1 | 2023-06-03 02:43:49.838000 | https://github.com/yassouali/CCT | 357 | Semi-supervised semantic segmentation with cross-consistency training | https://scholar.google.com/scholar?cluster=16388515887267992352&hl=en&as_sdt=0,5 | 10 | 2,020 |
Diversified Arbitrary Style Transfer via Deep Feature Perturbation | 74 | cvpr | 8 | 0 | 2023-06-03 02:43:50.039000 | https://github.com/EndyWon/Deep-Feature-Perturbation | 35 | Diversified arbitrary style transfer via deep feature perturbation | https://scholar.google.com/scholar?cluster=7181013307985111414&hl=en&as_sdt=0,5 | 5 | 2,020 |
GaitPart: Temporal Part-Based Model for Gait Recognition | 211 | cvpr | 106 | 9 | 2023-06-03 02:43:50.240000 | https://github.com/shiqiyu/opengait | 422 | Gaitpart: Temporal part-based model for gait recognition | https://scholar.google.com/scholar?cluster=16505851961146284687&hl=en&as_sdt=0,5 | 14 | 2,020 |
Adversarial Examples Improve Image Recognition | 417 | cvpr | 1,788 | 293 | 2023-06-03 02:43:50.441000 | https://github.com/tensorflow/tpu | 5,123 | Adversarial examples improve image recognition | https://scholar.google.com/scholar?cluster=12540097159832752079&hl=en&as_sdt=0,5 | 371 | 2,020 |
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack | 57 | cvpr | 9 | 0 | 2023-06-03 02:43:50.641000 | https://github.com/elliothe/BFA | 27 | Defending and harnessing the bit-flip based adversarial weight attack | https://scholar.google.com/scholar?cluster=4166950612750375922&hl=en&as_sdt=0,39 | 2 | 2,020 |
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution | 405 | cvpr | 63 | 19 | 2023-06-03 02:43:50.842000 | https://github.com/YapengTian/TDAN-VSR-CVPR-2020 | 388 | Tdan: Temporally-deformable alignment network for video super-resolution | https://scholar.google.com/scholar?cluster=9134144164731399402&hl=en&as_sdt=0,5 | 12 | 2,020 |
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood | 121 | cvpr | 2 | 1 | 2023-06-03 02:43:51.043000 | https://github.com/abhi1kumar/LUVLi | 27 | Luvli face alignment: Estimating landmarks' location, uncertainty, and visibility likelihood | https://scholar.google.com/scholar?cluster=10496106229213355393&hl=en&as_sdt=0,50 | 3 | 2,020 |
Resolution Adaptive Networks for Efficient Inference | 128 | cvpr | 28 | 0 | 2023-06-03 02:43:51.245000 | https://github.com/yangle15/RANet-pytorch | 139 | Resolution adaptive networks for efficient inference | https://scholar.google.com/scholar?cluster=521101430028285536&hl=en&as_sdt=0,33 | 5 | 2,020 |
PointAugment: An Auto-Augmentation Framework for Point Cloud Classification | 107 | cvpr | 27 | 9 | 2023-06-03 02:43:51.445000 | https://github.com/liruihui/PointAugment | 188 | Pointaugment: an auto-augmentation framework for point cloud classification | https://scholar.google.com/scholar?cluster=14167102715363724840&hl=en&as_sdt=0,5 | 15 | 2,020 |
Normal Assisted Stereo Depth Estimation | 57 | cvpr | 20 | 7 | 2023-06-03 02:43:51.646000 | https://github.com/udaykusupati/Normal-Assisted-Stereo | 98 | Normal assisted stereo depth estimation | https://scholar.google.com/scholar?cluster=1339319511524156641&hl=en&as_sdt=0,11 | 5 | 2,020 |
Siamese Box Adaptive Network for Visual Tracking | 550 | cvpr | 48 | 30 | 2023-06-03 02:43:51.847000 | https://github.com/hqucv/siamban | 243 | Siamese box adaptive network for visual tracking | https://scholar.google.com/scholar?cluster=9040151999224305592&hl=en&as_sdt=0,5 | 7 | 2,020 |
EfficientDet: Scalable and Efficient Object Detection | 3,680 | cvpr | 1,452 | 146 | 2023-06-03 02:43:52.048000 | https://github.com/google/automl | 5,884 | Efficientdet: Scalable and efficient object detection | https://scholar.google.com/scholar?cluster=16138254679061222132&hl=en&as_sdt=0,39 | 158 | 2,020 |
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image | 139 | cvpr | 32 | 8 | 2023-06-03 02:43:52.249000 | https://github.com/lzqsd/InverseRenderingOfIndoorScene | 236 | Inverse rendering for complex indoor scenes: Shape, spatially-varying lighting and svbrdf from a single image | https://scholar.google.com/scholar?cluster=15619834795097106737&hl=en&as_sdt=0,19 | 14 | 2,020 |
Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer | 80 | cvpr | 15 | 0 | 2023-06-03 02:43:52.451000 | https://github.com/UCMerced-ML/LC-model-compression | 47 | Low-rank compression of neural nets: Learning the rank of each layer | https://scholar.google.com/scholar?cluster=11332208454238811935&hl=en&as_sdt=0,31 | 6 | 2,020 |
Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS | 115 | cvpr | 7,284 | 1,013 | 2023-06-03 02:43:52.651000 | https://github.com/google-research/google-research | 29,540 | Can weight sharing outperform random architecture search? an investigation with tunas | https://scholar.google.com/scholar?cluster=10742561815901242531&hl=en&as_sdt=0,5 | 727 | 2,020 |
There and Back Again: Revisiting Backpropagation Saliency Methods | 101 | cvpr | 3 | 0 | 2023-06-03 02:43:52.852000 | https://github.com/srebuffi/revisiting_saliency | 49 | There and back again: Revisiting backpropagation saliency methods | https://scholar.google.com/scholar?cluster=5600358576607487078&hl=en&as_sdt=0,10 | 4 | 2,020 |
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network | 187 | cvpr | 679 | 61 | 2023-06-03 02:43:53.053000 | https://github.com/facebookarchive/fb.resnet.torch | 2,210 | Rmp-snn: Residual membrane potential neuron for enabling deeper high-accuracy and low-latency spiking neural network | https://scholar.google.com/scholar?cluster=10751549547661791339&hl=en&as_sdt=0,33 | 121 | 2,020 |
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting | 62 | cvpr | 4 | 1 | 2023-06-03 02:43:53.254000 | https://github.com/dliu5812/PDAM | 15 | Unsupervised instance segmentation in microscopy images via panoptic domain adaptation and task re-weighting | https://scholar.google.com/scholar?cluster=4954223067594419011&hl=en&as_sdt=0,41 | 2 | 2,020 |
Learning Meta Face Recognition in Unseen Domains | 121 | cvpr | 18 | 4 | 2023-06-03 02:43:53.454000 | https://github.com/cleardusk/MFR | 147 | Learning meta face recognition in unseen domains | https://scholar.google.com/scholar?cluster=4359786759676260995&hl=en&as_sdt=0,14 | 20 | 2,020 |
Heterogeneous Knowledge Distillation Using Information Flow Modeling | 92 | cvpr | 6 | 0 | 2023-06-03 02:43:53.655000 | https://github.com/passalis/pkth | 22 | Heterogeneous knowledge distillation using information flow modeling | https://scholar.google.com/scholar?cluster=10960912660981244645&hl=en&as_sdt=0,5 | 2 | 2,020 |
An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics | 25 | cvpr | 3 | 2 | 2023-06-03 02:43:53.856000 | https://github.com/qbammey/adaptive_cfa_forensics | 25 | An adaptive neural network for unsupervised mosaic consistency analysis in image forensics | https://scholar.google.com/scholar?cluster=123983947089796389&hl=en&as_sdt=0,24 | 1 | 2,020 |
CARS: Continuous Evolution for Efficient Neural Architecture Search | 194 | cvpr | 20 | 4 | 2023-06-03 02:43:54.057000 | https://github.com/huawei-noah/CARS | 102 | Cars: Continuous evolution for efficient neural architecture search | https://scholar.google.com/scholar?cluster=10174262153417334156&hl=en&as_sdt=0,5 | 10 | 2,020 |
State-Aware Tracker for Real-Time Video Object Segmentation | 81 | cvpr | 178 | 19 | 2023-06-03 02:43:54.258000 | https://github.com/MegviiDetection/video_analyst | 778 | State-aware tracker for real-time video object segmentation | https://scholar.google.com/scholar?cluster=2093076341053017829&hl=en&as_sdt=0,48 | 30 | 2,020 |
Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation | 309 | cvpr | 79 | 10 | 2023-06-03 02:43:54.458000 | https://github.com/neccam/slt | 178 | Sign language transformers: Joint end-to-end sign language recognition and translation | https://scholar.google.com/scholar?cluster=3781725358102616609&hl=en&as_sdt=0,31 | 12 | 2,020 |
DualSDF: Semantic Shape Manipulation Using a Two-Level Representation | 82 | cvpr | 18 | 3 | 2023-06-03 02:43:54.660000 | https://github.com/zekunhao1995/DualSDF | 126 | Dualsdf: Semantic shape manipulation using a two-level representation | https://scholar.google.com/scholar?cluster=8918146941403724904&hl=en&as_sdt=0,6 | 13 | 2,020 |
A Context-Aware Loss Function for Action Spotting in Soccer Videos | 64 | cvpr | 7 | 0 | 2023-06-03 02:43:54.860000 | https://github.com/cioppaanthony/context-aware-loss | 26 | A context-aware loss function for action spotting in soccer videos | https://scholar.google.com/scholar?cluster=7407375010675176273&hl=en&as_sdt=0,5 | 5 | 2,020 |
The Edge of Depth: Explicit Constraints Between Segmentation and Depth | 83 | cvpr | 11 | 11 | 2023-06-03 02:43:55.061000 | https://github.com/TWJianNuo/EdgeDepth-Release | 88 | The edge of depth: Explicit constraints between segmentation and depth | https://scholar.google.com/scholar?cluster=6230826594737072707&hl=en&as_sdt=0,22 | 6 | 2,020 |
ReSprop: Reuse Sparsified Backpropagation | 12 | cvpr | 1 | 1 | 2023-06-03 02:43:55.263000 | https://github.com/negargoli/ReSprop | 13 | Resprop: Reuse sparsified backpropagation | https://scholar.google.com/scholar?cluster=15598805521506665571&hl=en&as_sdt=0,5 | 3 | 2,020 |
Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation | 113 | cvpr | 62 | 9 | 2023-06-03 02:43:55.463000 | https://github.com/Maclory/Deep-Iterative-Collaboration | 286 | Deep face super-resolution with iterative collaboration between attentive recovery and landmark estimation | https://scholar.google.com/scholar?cluster=14954402977731707377&hl=en&as_sdt=0,36 | 14 | 2,020 |
Learning a Unified Sample Weighting Network for Object Detection | 35 | cvpr | 13 | 1 | 2023-06-03 02:43:55.665000 | https://github.com/caiqi/sample-weighting-network | 87 | Learning a unified sample weighting network for object detection | https://scholar.google.com/scholar?cluster=6164165735538464051&hl=en&as_sdt=0,10 | 4 | 2,020 |
Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network | 238 | cvpr | 43 | 31 | 2023-06-03 02:43:55.866000 | https://github.com/SSL92/hyperIQA | 272 | Blindly assess image quality in the wild guided by a self-adaptive hyper network | https://scholar.google.com/scholar?cluster=81969699158088231&hl=en&as_sdt=0,44 | 8 | 2,020 |
Bundle Adjustment on a Graph Processor | 35 | cvpr | 12 | 1 | 2023-06-03 02:43:56.067000 | https://github.com/joeaortiz/gbp | 66 | Bundle adjustment on a graph processor | https://scholar.google.com/scholar?cluster=10217492741597882999&hl=en&as_sdt=0,5 | 5 | 2,020 |
Multi-View Neural Human Rendering | 68 | cvpr | 9 | 3 | 2023-06-03 02:43:56.275000 | https://github.com/wuminye/NHR | 85 | Multi-view neural human rendering | https://scholar.google.com/scholar?cluster=10314501776894360592&hl=en&as_sdt=0,34 | 8 | 2,020 |
Learning Fast and Robust Target Models for Video Object Segmentation | 105 | cvpr | 25 | 7 | 2023-06-03 02:43:56.477000 | https://github.com/andr345/frtm-vos | 119 | Learning fast and robust target models for video object segmentation | https://scholar.google.com/scholar?cluster=11207612305703571917&hl=en&as_sdt=0,5 | 9 | 2,020 |
Adaptive Loss-Aware Quantization for Multi-Bit Networks | 34 | cvpr | 6 | 0 | 2023-06-03 02:43:56.678000 | https://github.com/zqu1992/ALQ | 12 | Adaptive loss-aware quantization for multi-bit networks | https://scholar.google.com/scholar?cluster=16159327957430149358&hl=en&as_sdt=0,33 | 2 | 2,020 |
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation | 747 | cvpr | 322 | 55 | 2023-06-03 02:43:56.878000 | https://github.com/switchablenorms/CelebAMask-HQ | 1,813 | Maskgan: Towards diverse and interactive facial image manipulation | https://scholar.google.com/scholar?cluster=11254718545246006006&hl=en&as_sdt=0,47 | 46 | 2,020 |
Learning Memory-Guided Normality for Anomaly Detection | 424 | cvpr | 74 | 34 | 2023-06-03 02:43:57.080000 | https://github.com/cvlab-yonsei/MNAD | 282 | Learning memory-guided normality for anomaly detection | https://scholar.google.com/scholar?cluster=956898906864347055&hl=en&as_sdt=0,15 | 12 | 2,020 |
Subsets and Splits