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Squeeze-and-Excitation Networks | 21,250 | cvpr | 825 | 15 | 2023-06-03 02:02:44.143000 | https://github.com/hujie-frank/SENet | 3,151 | Squeeze-and-excitation networks | https://scholar.google.com/scholar?cluster=11424287065250598243&hl=en&as_sdt=0,33 | 82 | 2,018 |
Context Encoding for Semantic Segmentation | 1,213 | cvpr | 453 | 147 | 2023-06-03 02:02:44.344000 | https://github.com/zhanghang1989/PyTorch-Encoding | 1,998 | Context encoding for semantic segmentation | https://scholar.google.com/scholar?cluster=11819343174629820664&hl=en&as_sdt=0,5 | 43 | 2,018 |
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer | 120 | cvpr | 50 | 5 | 2023-06-03 02:02:44.544000 | https://github.com/MVIG-SJTU/WSHP | 298 | Weakly and semi supervised human body part parsing via pose-guided knowledge transfer | https://scholar.google.com/scholar?cluster=5411440861626628225&hl=en&as_sdt=0,33 | 19 | 2,018 |
Relation Networks for Object Detection | 1,170 | cvpr | 191 | 15 | 2023-06-03 02:02:44.743000 | https://github.com/msracver/Relation-Networks-for-Object-Detection | 1,082 | Relation networks for object detection | https://scholar.google.com/scholar?cluster=6312471696354344603&hl=en&as_sdt=0,33 | 34 | 2,018 |
Link and Code: Fast Indexing With Graphs and Compact Regression Codes | 39 | cvpr | 2,977 | 305 | 2023-06-03 02:02:44.942000 | https://github.com/facebookresearch/faiss | 22,187 | Link and code: Fast indexing with graphs and compact regression codes | https://scholar.google.com/scholar?cluster=14984005711302229427&hl=en&as_sdt=0,33 | 449 | 2,018 |
Neural Baby Talk | 465 | cvpr | 122 | 31 | 2023-06-03 02:02:45.142000 | https://github.com/jiasenlu/NeuralBabyTalk | 525 | Neural baby talk | https://scholar.google.com/scholar?cluster=9034308427911290096&hl=en&as_sdt=0,44 | 18 | 2,018 |
Textbook Question Answering Under Instructor Guidance With Memory Networks | 17 | cvpr | 0 | 1 | 2023-06-03 02:02:45.342000 | https://github.com/freerailway/igmn | 8 | Textbook question answering under instructor guidance with memory networks | https://scholar.google.com/scholar?cluster=10345622211722999040&hl=en&as_sdt=0,33 | 2 | 2,018 |
Single View Stereo Matching | 196 | cvpr | 60 | 14 | 2023-06-03 02:02:45.541000 | https://github.com/lawy623/SVS | 283 | Single view stereo matching | https://scholar.google.com/scholar?cluster=3110406571941339913&hl=en&as_sdt=0,32 | 13 | 2,018 |
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments | 946 | cvpr | 119 | 40 | 2023-06-03 02:02:45.741000 | https://github.com/peteanderson80/Matterport3DSimulator | 377 | Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments | https://scholar.google.com/scholar?cluster=11715302607690282214&hl=en&as_sdt=0,33 | 19 | 2,018 |
Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading | 44 | cvpr | 21 | 1 | 2023-06-03 02:02:45.942000 | https://github.com/BjoernHaefner/DepthSRfromShading | 50 | Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading | https://scholar.google.com/scholar?cluster=18357062275262437656&hl=en&as_sdt=0,41 | 11 | 2,018 |
CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization | 176 | cvpr | 28 | 4 | 2023-06-03 02:02:46.141000 | https://github.com/david-husx/crossview_localisation | 73 | Cvm-net: Cross-view matching network for image-based ground-to-aerial geo-localization | https://scholar.google.com/scholar?cluster=7906333180197319428&hl=en&as_sdt=0,33 | 6 | 2,018 |
Wasserstein Introspective Neural Networks | 52 | cvpr | 20 | 0 | 2023-06-03 02:02:46.341000 | https://github.com/kjunelee/WINN | 60 | Wasserstein introspective neural networks | https://scholar.google.com/scholar?cluster=7419455746270333750&hl=en&as_sdt=0,5 | 5 | 2,018 |
Taskonomy: Disentangling Task Transfer Learning | 1,048 | cvpr | 145 | 25 | 2023-06-03 02:02:46.541000 | https://github.com/StanfordVL/taskonomy | 806 | Taskonomy: Disentangling task transfer learning | https://scholar.google.com/scholar?cluster=14005457704431675372&hl=en&as_sdt=0,33 | 32 | 2,018 |
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation | 1,597 | cvpr | 147 | 27 | 2023-06-03 02:02:46.740000 | https://github.com/mil-tokyo/MCD_DA | 503 | Maximum classifier discrepancy for unsupervised domain adaptation | https://scholar.google.com/scholar?cluster=16796743387010769346&hl=en&as_sdt=0,11 | 20 | 2,018 |
Unsupervised Feature Learning via Non-Parametric Instance Discrimination | 2,687 | cvpr | 131 | 19 | 2023-06-03 02:02:46.940000 | https://github.com/zhirongw/lemniscate.pytorch | 709 | Unsupervised feature learning via non-parametric instance discrimination | https://scholar.google.com/scholar?cluster=18199728308463029716&hl=en&as_sdt=0,33 | 13 | 2,018 |
Alive Caricature From 2D to 3D | 38 | cvpr | 11 | 1 | 2023-06-03 02:02:47.140000 | https://github.com/QianyiWu/Caricature-Data | 59 | Alive caricature from 2d to 3d | https://scholar.google.com/scholar?cluster=10599805237435207750&hl=en&as_sdt=0,36 | 4 | 2,018 |
Nonlinear 3D Face Morphable Model | 337 | cvpr | 124 | 43 | 2023-06-03 02:02:47.341000 | https://github.com/tranluan/Nonlinear_Face_3DMM | 626 | Nonlinear 3d face morphable model | https://scholar.google.com/scholar?cluster=16917443177432685099&hl=en&as_sdt=0,44 | 36 | 2,018 |
Actor and Observer: Joint Modeling of First and Third-Person Videos | 120 | cvpr | 9 | 10 | 2023-06-03 02:02:47.540000 | https://github.com/gsig/actor-observer | 70 | Actor and observer: Joint modeling of first and third-person videos | https://scholar.google.com/scholar?cluster=10236946423035602005&hl=en&as_sdt=0,5 | 6 | 2,018 |
Density Adaptive Point Set Registration | 45 | cvpr | 14 | 5 | 2023-06-03 02:02:47.746000 | https://github.com/felja633/DARE | 63 | Density adaptive point set registration | https://scholar.google.com/scholar?cluster=2753522151223136403&hl=en&as_sdt=0,5 | 8 | 2,018 |
Fast and Accurate Online Video Object Segmentation via Tracking Parts | 267 | cvpr | 28 | 2 | 2023-06-03 02:02:47.946000 | https://github.com/JingchunCheng/FAVOS | 180 | Fast and accurate online video object segmentation via tracking parts | https://scholar.google.com/scholar?cluster=8220914409241455873&hl=en&as_sdt=0,47 | 14 | 2,018 |
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction | 594 | cvpr | 67 | 5 | 2023-06-03 02:02:48.145000 | https://github.com/Huangying-Zhan/Depth-VO-Feat | 335 | Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction | https://scholar.google.com/scholar?cluster=9329635045900538034&hl=en&as_sdt=0,5 | 13 | 2,018 |
Tangent Convolutions for Dense Prediction in 3D | 487 | cvpr | 25 | 3 | 2023-06-03 02:02:48.346000 | https://github.com/tatarchm/tangent_conv | 118 | Tangent convolutions for dense prediction in 3d | https://scholar.google.com/scholar?cluster=493491956826244384&hl=en&as_sdt=0,25 | 16 | 2,018 |
Style Aggregated Network for Facial Landmark Detection | 329 | cvpr | 180 | 14 | 2023-06-03 02:02:48.546000 | https://github.com/D-X-Y/SAN | 899 | Style aggregated network for facial landmark detection | https://scholar.google.com/scholar?cluster=1805110380044896880&hl=en&as_sdt=0,33 | 34 | 2,018 |
RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials | 78 | cvpr | 17 | 6 | 2023-06-03 02:02:48.746000 | https://github.com/paschalidoud/raynet | 71 | Raynet: Learning volumetric 3d reconstruction with ray potentials | https://scholar.google.com/scholar?cluster=8899382585377763451&hl=en&as_sdt=0,5 | 12 | 2,018 |
Learning to Adapt Structured Output Space for Semantic Segmentation | 1,270 | cvpr | 202 | 27 | 2023-06-03 02:02:48.946000 | https://github.com/wasidennis/AdaptSegNet | 807 | Learning to adapt structured output space for semantic segmentation | https://scholar.google.com/scholar?cluster=3871902646877787670&hl=en&as_sdt=0,39 | 20 | 2,018 |
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation | 286 | cvpr | 18 | 0 | 2023-06-03 02:02:49.145000 | https://github.com/danxuhk/StructuredAttentionDepthEstimation | 108 | Structured attention guided convolutional neural fields for monocular depth estimation | https://scholar.google.com/scholar?cluster=12491875579978899487&hl=en&as_sdt=0,47 | 8 | 2,018 |
Extreme 3D Face Reconstruction: Seeing Through Occlusions | 176 | cvpr | 178 | 13 | 2023-06-03 02:02:49.345000 | https://github.com/anhttran/extreme_3d_faces | 741 | Extreme 3d face reconstruction: Seeing through occlusions | https://scholar.google.com/scholar?cluster=5737169588965246749&hl=en&as_sdt=0,33 | 51 | 2,018 |
VITON: An Image-Based Virtual Try-On Network | 429 | cvpr | 124 | 21 | 2023-06-03 02:02:49.544000 | https://github.com/xthan/VITON | 438 | Viton: An image-based virtual try-on network | https://scholar.google.com/scholar?cluster=4604722267799491636&hl=en&as_sdt=0,33 | 21 | 2,018 |
Glimpse Clouds: Human Activity Recognition From Unstructured Feature Points | 142 | cvpr | 10 | 6 | 2023-06-03 02:02:49.744000 | https://github.com/fabienbaradel/glimpse_clouds | 30 | Glimpse clouds: Human activity recognition from unstructured feature points | https://scholar.google.com/scholar?cluster=7849340999484253764&hl=en&as_sdt=0,10 | 5 | 2,018 |
Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization | 107 | cvpr | 19 | 6 | 2023-06-03 02:02:49.944000 | https://github.com/technicolor-research/dsve-loc | 58 | Finding beans in burgers: Deep semantic-visual embedding with localization | https://scholar.google.com/scholar?cluster=9521343984071570663&hl=en&as_sdt=0,31 | 7 | 2,018 |
Multi-Content GAN for Few-Shot Font Style Transfer | 301 | cvpr | 128 | 16 | 2023-06-03 02:02:50.143000 | https://github.com/azadis/MC-GAN | 428 | Multi-content gan for few-shot font style transfer | https://scholar.google.com/scholar?cluster=8640883336869257369&hl=en&as_sdt=0,33 | 22 | 2,018 |
Context-Aware Deep Feature Compression for High-Speed Visual Tracking | 236 | cvpr | 3 | 1 | 2023-06-03 02:02:50.343000 | https://github.com/jongwon20000/TRACA | 12 | Context-aware deep feature compression for high-speed visual tracking | https://scholar.google.com/scholar?cluster=571172096804857192&hl=en&as_sdt=0,39 | 1 | 2,018 |
Correlation Tracking via Joint Discrimination and Reliability Learning | 187 | cvpr | 9 | 3 | 2023-06-03 02:02:50.542000 | https://github.com/cswaynecool/DRT | 24 | Correlation tracking via joint discrimination and reliability learning | https://scholar.google.com/scholar?cluster=1575208581023691189&hl=en&as_sdt=0,43 | 3 | 2,018 |
Future Person Localization in First-Person Videos | 163 | cvpr | 16 | 6 | 2023-06-03 02:02:50.741000 | https://github.com/takumayagi/fpl | 57 | Future person localization in first-person videos | https://scholar.google.com/scholar?cluster=12809311731040909987&hl=en&as_sdt=0,33 | 8 | 2,018 |
Show Me a Story: Towards Coherent Neural Story Illustration | 31 | cvpr | 2 | 0 | 2023-06-03 02:02:50.940000 | https://github.com/Hareesh-Ravi/Show-Me-A-Story | 8 | Show me a story: Towards coherent neural story illustration | https://scholar.google.com/scholar?cluster=7308999289037993317&hl=en&as_sdt=0,33 | 3 | 2,018 |
Who Let the Dogs Out? Modeling Dog Behavior From Visual Data | 59 | cvpr | 11 | 0 | 2023-06-03 02:02:51.140000 | https://github.com/ehsanik/dogTorch | 66 | Who let the dogs out? modeling dog behavior from visual data | https://scholar.google.com/scholar?cluster=5907444303842448183&hl=en&as_sdt=0,14 | 5 | 2,018 |
Mining on Manifolds: Metric Learning Without Labels | 121 | cvpr | 8 | 0 | 2023-06-03 02:02:51.339000 | https://github.com/gtolias/mom | 34 | Mining on manifolds: Metric learning without labels | https://scholar.google.com/scholar?cluster=13423863468293341196&hl=en&as_sdt=0,43 | 3 | 2,018 |
Deep Texture Manifold for Ground Terrain Recognition | 117 | cvpr | 15 | 5 | 2023-06-03 02:02:51.539000 | https://github.com/jiaxue1993/Deep-Encoding-Pooling-Network-DEP- | 48 | Deep texture manifold for ground terrain recognition | https://scholar.google.com/scholar?cluster=7515181483454142602&hl=en&as_sdt=0,33 | 2 | 2,018 |
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank | 281 | cvpr | 27 | 0 | 2023-06-03 02:02:51.739000 | https://github.com/xialeiliu/CrowdCountingCVPR18 | 101 | Leveraging unlabeled data for crowd counting by learning to rank | https://scholar.google.com/scholar?cluster=15969046811114831794&hl=en&as_sdt=0,22 | 12 | 2,018 |
IQA: Visual Question Answering in Interactive Environments | 367 | cvpr | 29 | 4 | 2023-06-03 02:02:51.938000 | https://github.com/danielgordon10/thor-iqa-cvpr-2018 | 115 | Iqa: Visual question answering in interactive environments | https://scholar.google.com/scholar?cluster=16877717073782366284&hl=en&as_sdt=0,33 | 6 | 2,018 |
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric | 5,295 | cvpr | 466 | 44 | 2023-06-03 02:02:52.138000 | https://github.com/richzhang/PerceptualSimilarity | 2,870 | The unreasonable effectiveness of deep features as a perceptual metric | https://scholar.google.com/scholar?cluster=14149575231067904672&hl=en&as_sdt=0,11 | 50 | 2,018 |
Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform | 739 | cvpr | 102 | 17 | 2023-06-03 02:02:52.337000 | https://github.com/xinntao/SFTGAN | 529 | Recovering realistic texture in image super-resolution by deep spatial feature transform | https://scholar.google.com/scholar?cluster=842104437082826960&hl=en&as_sdt=0,10 | 22 | 2,018 |
Learning to Parse Wireframes in Images of Man-Made Environments | 133 | cvpr | 37 | 19 | 2023-06-03 02:02:52.538000 | https://github.com/huangkuns/wireframe | 180 | Learning to parse wireframes in images of man-made environments | https://scholar.google.com/scholar?cluster=11403942593493139051&hl=en&as_sdt=0,38 | 9 | 2,018 |
Grounding Referring Expressions in Images by Variational Context | 167 | cvpr | 4 | 2 | 2023-06-03 02:02:52.737000 | https://github.com/yuleiniu/vc | 28 | Grounding referring expressions in images by variational context | https://scholar.google.com/scholar?cluster=14943545970405420327&hl=en&as_sdt=0,10 | 5 | 2,018 |
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning | 801 | cvpr | 39 | 3 | 2023-06-03 02:02:52.937000 | https://github.com/arunmallya/packnet | 220 | Packnet: Adding multiple tasks to a single network by iterative pruning | https://scholar.google.com/scholar?cluster=3391923480766796153&hl=en&as_sdt=0,33 | 9 | 2,018 |
Single-Shot Refinement Neural Network for Object Detection | 1,430 | cvpr | 397 | 4 | 2023-06-03 02:02:53.136000 | https://github.com/sfzhang15/RefineDet | 1,437 | Single-shot refinement neural network for object detection | https://scholar.google.com/scholar?cluster=2942593974177604568&hl=en&as_sdt=0,3 | 66 | 2,018 |
Neural Sign Language Translation | 407 | cvpr | 42 | 19 | 2023-06-03 02:02:53.336000 | https://github.com/neccam/nslt | 134 | Neural sign language translation | https://scholar.google.com/scholar?cluster=2296982368739717596&hl=en&as_sdt=0,33 | 10 | 2,018 |
Non-Local Neural Networks | 8,204 | cvpr | 335 | 39 | 2023-06-03 02:02:53.535000 | https://github.com/facebookresearch/video-nonlocal-net | 1,932 | Non-local neural networks | https://scholar.google.com/scholar?cluster=10047890866676489078&hl=en&as_sdt=0,10 | 73 | 2,018 |
LAMV: Learning to Align and Match Videos With Kernelized Temporal Layers | 38 | cvpr | 16 | 7 | 2023-06-03 02:02:53.734000 | https://github.com/facebookresearch/videoalignment | 127 | LAMV: Learning to align and match videos with kernelized temporal layers | https://scholar.google.com/scholar?cluster=17917158544788310143&hl=en&as_sdt=0,44 | 12 | 2,018 |
Fast and Accurate Single Image Super-Resolution via Information Distillation Network | 660 | cvpr | 27 | 1 | 2023-06-03 02:02:53.933000 | https://github.com/Zheng222/IDN-Caffe | 115 | Fast and accurate single image super-resolution via information distillation network | https://scholar.google.com/scholar?cluster=8046970097927078874&hl=en&as_sdt=0,21 | 5 | 2,018 |
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval | 365 | cvpr | 50 | 11 | 2023-06-03 02:02:54.134000 | https://github.com/lelan-li/SSAH | 160 | Self-supervised adversarial hashing networks for cross-modal retrieval | https://scholar.google.com/scholar?cluster=3463045162726683481&hl=en&as_sdt=0,33 | 2 | 2,018 |
NAG: Network for Adversary Generation | 148 | cvpr | 10 | 1 | 2023-06-03 02:02:54.334000 | https://github.com/val-iisc/nag | 30 | Nag: Network for adversary generation | https://scholar.google.com/scholar?cluster=3931174507658557691&hl=en&as_sdt=0,40 | 5 | 2,018 |
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification | 228 | cvpr | 2 | 2 | 2023-06-03 02:02:54.534000 | https://github.com/longxiang92/Flash-MNIST | 16 | Attention clusters: Purely attention based local feature integration for video classification | https://scholar.google.com/scholar?cluster=2790056115661546897&hl=en&as_sdt=0,39 | 0 | 2,018 |
A Two-Step Disentanglement Method | 65 | cvpr | 7 | 2 | 2023-06-03 02:02:54.733000 | https://github.com/naamahadad/A-Two-Step-Disentanglement-Method | 20 | A two-step disentanglement method | https://scholar.google.com/scholar?cluster=17956824225475130504&hl=en&as_sdt=0,33 | 2 | 2,018 |
Decorrelated Batch Normalization | 172 | cvpr | 9 | 2 | 2023-06-03 02:02:54.932000 | https://github.com/umich-vl/DecorrelatedBN | 77 | Decorrelated batch normalization | https://scholar.google.com/scholar?cluster=1350163161054747576&hl=en&as_sdt=0,44 | 5 | 2,018 |
SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks | 138 | cvpr | 6 | 3 | 2023-06-03 02:02:55.131000 | https://github.com/julianfaraone/SYQ | 32 | Syq: Learning symmetric quantization for efficient deep neural networks | https://scholar.google.com/scholar?cluster=715328766505784785&hl=en&as_sdt=0,33 | 4 | 2,018 |
ClcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions | 10 | cvpr | 0 | 0 | 2023-06-03 02:02:55.331000 | https://github.com/dqzhang17/clcnet.torch | 5 | Clcnet: Improving the efficiency of convolutional neural network using channel local convolutions | https://scholar.google.com/scholar?cluster=5898385564503550326&hl=en&as_sdt=0,33 | 1 | 2,018 |
Dynamic Few-Shot Visual Learning Without Forgetting | 1,038 | cvpr | 113 | 15 | 2023-06-03 02:02:55.531000 | https://github.com/gidariss/FewShotWithoutForgetting | 505 | Dynamic few-shot visual learning without forgetting | https://scholar.google.com/scholar?cluster=9404727509298354192&hl=en&as_sdt=0,5 | 17 | 2,018 |
Unsupervised Cross-Dataset Person Re-Identification by Transfer Learning of Spatial-Temporal Patterns | 189 | cvpr | 95 | 6 | 2023-06-03 02:02:55.730000 | https://github.com/ahangchen/TFusion | 305 | Unsupervised cross-dataset person re-identification by transfer learning of spatial-temporal patterns | https://scholar.google.com/scholar?cluster=17916644735518880120&hl=en&as_sdt=0,5 | 13 | 2,018 |
SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels | 420 | cvpr | 3,251 | 796 | 2023-06-03 02:02:55.930000 | https://github.com/rusty1s/pytorch_geometric | 17,762 | Splinecnn: Fast geometric deep learning with continuous b-spline kernels | https://scholar.google.com/scholar?cluster=15661096994661097727&hl=en&as_sdt=0,44 | 255 | 2,018 |
On the Robustness of Semantic Segmentation Models to Adversarial Attacks | 262 | cvpr | 34 | 0 | 2023-06-03 02:02:56.130000 | https://github.com/hmph/adversarial-attacks | 93 | On the robustness of semantic segmentation models to adversarial attacks | https://scholar.google.com/scholar?cluster=16709136699457218640&hl=en&as_sdt=0,47 | 4 | 2,018 |
Conditional Probability Models for Deep Image Compression | 440 | cvpr | 55 | 3 | 2023-06-03 02:02:56.330000 | https://github.com/fab-jul/imgcomp-cvpr | 175 | Conditional probability models for deep image compression | https://scholar.google.com/scholar?cluster=1142257343807759555&hl=en&as_sdt=0,47 | 13 | 2,018 |
Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence | 10 | cvpr | 4 | 1 | 2023-06-03 02:02:56.530000 | https://github.com/uvavision/feedbackprop | 13 | Feedback-prop: Convolutional neural network inference under partial evidence | https://scholar.google.com/scholar?cluster=6455871249036885657&hl=en&as_sdt=0,5 | 5 | 2,018 |
Deep Diffeomorphic Transformer Networks | 38 | cvpr | 7 | 2 | 2023-06-03 02:02:56.729000 | https://github.com/SkafteNicki/ddtn | 51 | Deep diffeomorphic transformer networks | https://scholar.google.com/scholar?cluster=10889902313214190390&hl=en&as_sdt=0,47 | 7 | 2,018 |
The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks | 661 | cvpr | 263 | 17 | 2023-06-03 02:02:56.929000 | https://github.com/bermanmaxim/LovaszSoftmax | 1,336 | The lovász-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks | https://scholar.google.com/scholar?cluster=13704152839598748624&hl=en&as_sdt=0,5 | 32 | 2,018 |
Regularizing RNNs for Caption Generation by Reconstructing the Past With the Present | 99 | cvpr | 22 | 4 | 2023-06-03 02:02:57.129000 | https://github.com/chenxinpeng/ARNet | 97 | Regularizing rnns for caption generation by reconstructing the past with the present | https://scholar.google.com/scholar?cluster=7665949997968365444&hl=en&as_sdt=0,5 | 4 | 2,018 |
Frustum PointNets for 3D Object Detection From RGB-D Data | 2,144 | cvpr | 529 | 87 | 2023-06-03 02:02:57.328000 | https://github.com/charlesq34/frustum-pointnets | 1,485 | Frustum pointnets for 3d object detection from rgb-d data | https://scholar.google.com/scholar?cluster=4885970701564432144&hl=en&as_sdt=0,5 | 46 | 2,018 |
Generative Adversarial Perturbations | 298 | cvpr | 22 | 3 | 2023-06-03 02:02:57.528000 | https://github.com/OmidPoursaeed/Generative_Adversarial_Perturbations | 114 | Generative adversarial perturbations | https://scholar.google.com/scholar?cluster=14065454435917122629&hl=en&as_sdt=0,14 | 5 | 2,018 |
Learning Strict Identity Mappings in Deep Residual Networks | 44 | cvpr | 1,850 | 10 | 2023-06-03 02:02:57.727000 | https://github.com/ppwwyyxx/tensorpack | 6,277 | Learning strict identity mappings in deep residual networks | https://scholar.google.com/scholar?cluster=16983153151878497830&hl=en&as_sdt=0,5 | 201 | 2,018 |
Geometric Robustness of Deep Networks: Analysis and Improvement | 132 | cvpr | 0 | 0 | 2023-06-03 02:02:57.927000 | https://github.com/moosavism/ManiFool | 3 | Geometric robustness of deep networks: analysis and improvement | https://scholar.google.com/scholar?cluster=17237058907276803718&hl=en&as_sdt=0,5 | 1 | 2,018 |
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization | 263 | cvpr | 55 | 5 | 2023-06-03 02:02:58.127000 | https://github.com/jiangtaoxie/fast-MPN-COV | 256 | Towards faster training of global covariance pooling networks by iterative matrix square root normalization | https://scholar.google.com/scholar?cluster=17395559231482729917&hl=en&as_sdt=0,44 | 13 | 2,018 |
Recurrent Scene Parsing With Perspective Understanding in the Loop | 110 | cvpr | 7 | 4 | 2023-06-03 02:02:58.326000 | https://github.com/aimerykong/Recurrent-Scene-Parsing-with-Perspective-Understanding-in-the-loop | 37 | Recurrent scene parsing with perspective understanding in the loop | https://scholar.google.com/scholar?cluster=17329955787132612464&hl=en&as_sdt=0,33 | 5 | 2,018 |
Resource Aware Person Re-Identification Across Multiple Resolutions | 267 | cvpr | 14 | 5 | 2023-06-03 02:02:58.526000 | https://github.com/mileyan/DARENet | 63 | Resource aware person re-identification across multiple resolutions | https://scholar.google.com/scholar?cluster=15130580374831521830&hl=en&as_sdt=0,48 | 4 | 2,018 |
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition | 360 | cvpr | 69 | 6 | 2023-06-03 02:02:58.725000 | https://github.com/mikacuy/pointnetvlad | 313 | Pointnetvlad: Deep point cloud based retrieval for large-scale place recognition | https://scholar.google.com/scholar?cluster=11092893691585597959&hl=en&as_sdt=0,6 | 16 | 2,018 |
Pointwise Convolutional Neural Networks | 497 | cvpr | 26 | 8 | 2023-06-03 02:02:58.925000 | https://github.com/hkust-vgd/pointwise | 128 | Pointwise convolutional neural networks | https://scholar.google.com/scholar?cluster=2469352137681828239&hl=en&as_sdt=0,30 | 11 | 2,018 |
Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs | 1,069 | cvpr | 211 | 59 | 2023-06-03 02:02:59.124000 | https://github.com/loicland/superpoint_graph | 682 | Large-scale point cloud semantic segmentation with superpoint graphs | https://scholar.google.com/scholar?cluster=8028725506123126280&hl=en&as_sdt=0,33 | 30 | 2,018 |
R-FCN-3000 at 30fps: Decoupling Detection and Classification | 93 | cvpr | 449 | 116 | 2023-06-03 02:02:59.323000 | https://github.com/MahyarNajibi/SNIPER | 2,675 | R-fcn-3000 at 30fps: Decoupling detection and classification | https://scholar.google.com/scholar?cluster=12610408670018801079&hl=en&as_sdt=0,34 | 84 | 2,018 |
Scale-Recurrent Network for Deep Image Deblurring | 990 | cvpr | 185 | 29 | 2023-06-03 02:02:59.523000 | https://github.com/jiangsutx/SRN-Deblur | 673 | Scale-recurrent network for deep image deblurring | https://scholar.google.com/scholar?cluster=9767326897374302436&hl=en&as_sdt=0,5 | 23 | 2,018 |
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks | 1,345 | cvpr | 503 | 137 | 2023-06-03 02:02:59.722000 | https://github.com/KupynOrest/DeblurGAN | 2,316 | Deblurgan: Blind motion deblurring using conditional adversarial networks | https://scholar.google.com/scholar?cluster=5089744073478166070&hl=en&as_sdt=0,5 | 60 | 2,018 |
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping | 106 | cvpr | 39 | 2 | 2023-06-03 02:02:59.922000 | https://github.com/wuhuikai/TF-A2RL | 175 | A2-RL: Aesthetics aware reinforcement learning for image cropping | https://scholar.google.com/scholar?cluster=13340683651444641061&hl=en&as_sdt=0,5 | 12 | 2,018 |
Arbitrary Style Transfer With Deep Feature Reshuffle | 155 | cvpr | 8 | 3 | 2023-06-03 02:03:00.122000 | https://github.com/msracver/Style-Feature-Reshuffle | 42 | Arbitrary style transfer with deep feature reshuffle | https://scholar.google.com/scholar?cluster=11719204420277283592&hl=en&as_sdt=0,5 | 7 | 2,018 |
Learning Less Is More - 6D Camera Localization via 3D Surface Regression | 317 | cvpr | 46 | 0 | 2023-06-03 02:03:00.322000 | https://github.com/vislearn/LessMore | 240 | Learning less is more-6d camera localization via 3d surface regression | https://scholar.google.com/scholar?cluster=11804576689209781173&hl=en&as_sdt=0,33 | 15 | 2,018 |
Mask-Guided Contrastive Attention Model for Person Re-Identification | 581 | cvpr | 22 | 5 | 2023-06-03 02:03:00.522000 | https://github.com/developfeng/MGCAM | 89 | Mask-guided contrastive attention model for person re-identification | https://scholar.google.com/scholar?cluster=10435630685951917541&hl=en&as_sdt=0,11 | 5 | 2,018 |
COCO-Stuff: Thing and Stuff Classes in Context | 984 | cvpr | 146 | 0 | 2023-06-03 02:03:00.721000 | https://github.com/nightrome/cocostuff | 747 | Coco-stuff: Thing and stuff classes in context | https://scholar.google.com/scholar?cluster=6845361642027556320&hl=en&as_sdt=0,5 | 19 | 2,018 |
Visual Feature Attribution Using Wasserstein GANs | 135 | cvpr | 10 | 6 | 2023-06-03 02:03:00.921000 | https://github.com/baumgach/vagan-code | 51 | Visual feature attribution using wasserstein gans | https://scholar.google.com/scholar?cluster=4863009192322574764&hl=en&as_sdt=0,5 | 8 | 2,018 |
Multi-Scale Location-Aware Kernel Representation for Object Detection | 86 | cvpr | 24 | 7 | 2023-06-03 02:03:01.121000 | https://github.com/Hwang64/MLKP | 108 | Multi-scale location-aware kernel representation for object detection | https://scholar.google.com/scholar?cluster=2919288544075184668&hl=en&as_sdt=0,5 | 6 | 2,018 |
Min-Entropy Latent Model for Weakly Supervised Object Detection | 217 | cvpr | 7 | 1 | 2023-06-03 02:03:01.320000 | https://github.com/WinFrand/MELM | 36 | Min-entropy latent model for weakly supervised object detection | https://scholar.google.com/scholar?cluster=12196799827841565864&hl=en&as_sdt=0,33 | 2 | 2,018 |
Unsupervised Training for 3D Morphable Model Regression | 288 | cvpr | 117 | 0 | 2023-06-03 02:03:01.521000 | https://github.com/google/tf_mesh_renderer | 485 | Unsupervised training for 3d morphable model regression | https://scholar.google.com/scholar?cluster=4735286085521456884&hl=en&as_sdt=0,44 | 34 | 2,018 |
MAttNet: Modular Attention Network for Referring Expression Comprehension | 581 | cvpr | 74 | 20 | 2023-06-03 02:03:01.721000 | https://github.com/lichengunc/MAttNet | 284 | Mattnet: Modular attention network for referring expression comprehension | https://scholar.google.com/scholar?cluster=13069017082141468333&hl=en&as_sdt=0,33 | 8 | 2,018 |
Video Based Reconstruction of 3D People Models | 351 | cvpr | 147 | 1 | 2023-06-03 02:03:01.921000 | https://github.com/thmoa/videoavatars | 600 | Video based reconstruction of 3d people models | https://scholar.google.com/scholar?cluster=2077709938273462084&hl=en&as_sdt=0,5 | 35 | 2,018 |
Multi-Cue Correlation Filters for Robust Visual Tracking | 396 | cvpr | 15 | 2 | 2023-06-03 02:03:02.121000 | https://github.com/594422814/MCCT | 43 | Multi-cue correlation filters for robust visual tracking | https://scholar.google.com/scholar?cluster=10195225925386567515&hl=en&as_sdt=0,5 | 6 | 2,018 |
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking | 524 | cvpr | 12 | 5 | 2023-06-03 02:03:02.320000 | https://github.com/foolwood/RASNet | 76 | Learning attentions: residual attentional siamese network for high performance online visual tracking | https://scholar.google.com/scholar?cluster=13442164500664539732&hl=en&as_sdt=0,26 | 26 | 2,018 |
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition | 310 | cvpr | 44 | 0 | 2023-06-03 02:03:02.520000 | https://github.com/kevin-ssy/Optical-Flow-Guided-Feature | 193 | Optical flow guided feature: A fast and robust motion representation for video action recognition | https://scholar.google.com/scholar?cluster=1614018678326125147&hl=en&as_sdt=0,5 | 14 | 2,018 |
Revisiting Video Saliency: A Large-Scale Benchmark and a New Model | 242 | cvpr | 25 | 4 | 2023-06-03 02:03:02.719000 | https://github.com/wenguanwang/DHF1K | 131 | Revisiting video saliency: A large-scale benchmark and a new model | https://scholar.google.com/scholar?cluster=12383728254270518882&hl=en&as_sdt=0,33 | 11 | 2,018 |
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking | 742 | cvpr | 39 | 13 | 2023-06-03 02:03:02.919000 | https://github.com/lifeng9472/STRCF | 141 | Learning spatial-temporal regularized correlation filters for visual tracking | https://scholar.google.com/scholar?cluster=3477617967498244668&hl=en&as_sdt=0,36 | 8 | 2,018 |
Multimodal Visual Concept Learning With Weakly Supervised Techniques | 8 | cvpr | 2 | 0 | 2023-06-03 02:03:03.119000 | https://github.com/gbouritsas/cvpr18_multimodal_weakly_supervised_learning | 2 | Multimodal visual concept learning with weakly supervised techniques | https://scholar.google.com/scholar?cluster=4907691631173710779&hl=en&as_sdt=0,6 | 1 | 2,018 |
Appearance-and-Relation Networks for Video Classification | 349 | cvpr | 58 | 1 | 2023-06-03 02:03:03.318000 | https://github.com/wanglimin/ARTNet | 204 | Appearance-and-relation networks for video classification | https://scholar.google.com/scholar?cluster=18079198362259325313&hl=en&as_sdt=0,34 | 16 | 2,018 |
Excitation Backprop for RNNs | 54 | cvpr | 2 | 0 | 2023-06-03 02:03:03.518000 | https://github.com/sbargal/Caffe-ExcitationBP-RNNs | 15 | Excitation backprop for RNNs | https://scholar.google.com/scholar?cluster=4789269652313774623&hl=en&as_sdt=0,33 | 2 | 2,018 |
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning | 195 | cvpr | 75 | 3 | 2023-06-03 02:03:03.719000 | https://github.com/davidmascharka/tbd-nets | 352 | Transparency by design: Closing the gap between performance and interpretability in visual reasoning | https://scholar.google.com/scholar?cluster=1353061912650405734&hl=en&as_sdt=0,33 | 15 | 2,018 |
A PID Controller Approach for Stochastic Optimization of Deep Networks | 93 | cvpr | 56 | 8 | 2023-06-03 02:03:03.918000 | https://github.com/tensorboy/PIDOptimizer | 173 | A PID controller approach for stochastic optimization of deep networks | https://scholar.google.com/scholar?cluster=17450325485562246088&hl=en&as_sdt=0,5 | 15 | 2,018 |