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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 |
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