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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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