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