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Kubric: A Scalable Dataset Generator
| 37 |
cvpr
| 176 | 55 |
2023-06-03 15:13:48.035000
|
https://github.com/google-research/kubric
| 1,871 |
Kubric: A scalable dataset generator
|
https://scholar.google.com/scholar?cluster=12844156757618831898&hl=en&as_sdt=0,5
| 36 | 2,022 |
Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds
| 31 |
cvpr
| 31 | 5 |
2023-06-03 15:13:48.229000
|
https://github.com/ghostish/open3dsot
| 191 |
Beyond 3d siamese tracking: A motion-centric paradigm for 3d single object tracking in point clouds
|
https://scholar.google.com/scholar?cluster=111779171957440994&hl=en&as_sdt=0,5
| 11 | 2,022 |
Optimal LED Spectral Multiplexing for NIR2RGB Translation
| 1 |
cvpr
| 1 | 1 |
2023-06-03 15:13:48.423000
|
https://github.com/cccyz/nir2rgb
| 4 |
Optimal LED Spectral Multiplexing for NIR2RGB Translation
|
https://scholar.google.com/scholar?cluster=3544810694144583772&hl=en&as_sdt=0,34
| 1 | 2,022 |
Non-Probability Sampling Network for Stochastic Human Trajectory Prediction
| 13 |
cvpr
| 10 | 0 |
2023-06-03 15:13:48.617000
|
https://github.com/inhwanbae/npsn
| 40 |
Non-probability sampling network for stochastic human trajectory prediction
|
https://scholar.google.com/scholar?cluster=1248023743092759161&hl=en&as_sdt=0,19
| 4 | 2,022 |
Neural Global Shutter: Learn To Restore Video From a Rolling Shutter Camera With Global Reset Feature
| 5 |
cvpr
| 0 | 0 |
2023-06-03 15:13:48.812000
|
https://github.com/lightchaserx/neural-global-shutter
| 11 |
Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature
|
https://scholar.google.com/scholar?cluster=4222560518760472243&hl=en&as_sdt=0,5
| 5 | 2,022 |
TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection With Transformers
| 141 |
cvpr
| 62 | 61 |
2023-06-03 15:13:49.006000
|
https://github.com/xuyangbai/transfusion
| 463 |
Transfusion: Robust lidar-camera fusion for 3d object detection with transformers
|
https://scholar.google.com/scholar?cluster=12911220675230413174&hl=en&as_sdt=0,5
| 15 | 2,022 |
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning
| 6 |
cvpr
| 3 | 1 |
2023-06-03 15:13:49.201000
|
https://github.com/zlijingtao/ResSFL
| 13 |
Ressfl: A resistance transfer framework for defending model inversion attack in split federated learning
|
https://scholar.google.com/scholar?cluster=3765012831797072152&hl=en&as_sdt=0,5
| 1 | 2,022 |
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-Supervised Medical Image Analysis
| 17 |
cvpr
| 8 | 4 |
2023-06-03 15:13:49.395000
|
https://github.com/jlianglab/dira
| 69 |
DiRA: discriminative, restorative, and adversarial learning for self-supervised medical image analysis
|
https://scholar.google.com/scholar?cluster=10173276721588368719&hl=en&as_sdt=0,5
| 2 | 2,022 |
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation
| 8 |
cvpr
| 4 | 5 |
2023-06-03 15:13:49.589000
|
https://github.com/mgholamikn/AdaptPose
| 16 |
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation
|
https://scholar.google.com/scholar?cluster=1711425847719753871&hl=en&as_sdt=0,31
| 3 | 2,022 |
Per-Clip Video Object Segmentation
| 16 |
cvpr
| 3 | 2 |
2023-06-03 15:13:49.783000
|
https://github.com/pkyong95/PCVOS
| 51 |
Per-clip video object segmentation
|
https://scholar.google.com/scholar?cluster=16681373339133330040&hl=en&as_sdt=0,33
| 5 | 2,022 |
RAMA: A Rapid Multicut Algorithm on GPU
| 4 |
cvpr
| 12 | 1 |
2023-06-03 15:13:49.977000
|
https://github.com/pawelswoboda/rama
| 66 |
RAMA: A Rapid Multicut Algorithm on GPU
|
https://scholar.google.com/scholar?cluster=1533239593347078884&hl=en&as_sdt=0,5
| 3 | 2,022 |
Coarse-To-Fine Feature Mining for Video Semantic Segmentation
| 11 |
cvpr
| 5 | 3 |
2023-06-03 15:13:50.172000
|
https://github.com/guoleisun/vss-cffm
| 55 |
Coarse-to-fine feature mining for video semantic segmentation
|
https://scholar.google.com/scholar?cluster=11463952495365012753&hl=en&as_sdt=0,33
| 4 | 2,022 |
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation
| 31 |
cvpr
| 3 | 1 |
2023-06-03 15:13:50.366000
|
https://github.com/lslrh/cpsl
| 56 |
Class-balanced pixel-level self-labeling for domain adaptive semantic segmentation
|
https://scholar.google.com/scholar?cluster=177219505636414694&hl=en&as_sdt=0,5
| 1 | 2,022 |
PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking
| 7 |
cvpr
| 11 | 3 |
2023-06-03 15:13:50.561000
|
https://github.com/andoer/posetrack21
| 49 |
PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking
|
https://scholar.google.com/scholar?cluster=12602282575188654829&hl=en&as_sdt=0,5
| 3 | 2,022 |
Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching
| 3 |
cvpr
| 1 | 0 |
2023-06-03 15:13:50.755000
|
https://github.com/igitugraz/outputcodematching
| 4 |
Improving robustness against stealthy weight bit-flip attacks by output code matching
|
https://scholar.google.com/scholar?cluster=6649120443721733048&hl=en&as_sdt=0,5
| 3 | 2,022 |
Zoom in and Out: A Mixed-Scale Triplet Network for Camouflaged Object Detection
| 36 |
cvpr
| 14 | 3 |
2023-06-03 15:13:50.949000
|
https://github.com/lartpang/zoomnet
| 92 |
Zoom in and out: A mixed-scale triplet network for camouflaged object detection
|
https://scholar.google.com/scholar?cluster=4424301545299413794&hl=en&as_sdt=0,47
| 6 | 2,022 |
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
| 121 |
cvpr
| 83 | 3 |
2023-06-03 15:13:51.143000
|
https://github.com/lhoyer/DAFormer
| 353 |
Daformer: Improving network architectures and training strategies for domain-adaptive semantic segmentation
|
https://scholar.google.com/scholar?cluster=4388759310460601633&hl=en&as_sdt=0,5
| 6 | 2,022 |
MISF: Multi-Level Interactive Siamese Filtering for High-Fidelity Image Inpainting
| 15 |
cvpr
| 9 | 5 |
2023-06-03 15:13:51.338000
|
https://github.com/tsingqguo/misf
| 63 |
MISF: Multi-level interactive Siamese filtering for high-fidelity image inpainting
|
https://scholar.google.com/scholar?cluster=16790016584547465514&hl=en&as_sdt=0,5
| 3 | 2,022 |
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
| 43 |
cvpr
| 19 | 2 |
2023-06-03 15:13:51.536000
|
https://github.com/Fei-Long121/DeepBDC
| 127 |
Joint distribution matters: Deep brownian distance covariance for few-shot classification
|
https://scholar.google.com/scholar?cluster=16833673702731370777&hl=en&as_sdt=0,5
| 4 | 2,022 |
LASER: LAtent SpacE Rendering for 2D Visual Localization
| 7 |
cvpr
| 0 | 0 |
2023-06-03 15:13:51.730000
|
https://github.com/zillow/laser
| 12 |
Laser: latent space rendering for 2d visual localization
|
https://scholar.google.com/scholar?cluster=482933175726781739&hl=en&as_sdt=0,10
| 5 | 2,022 |
Rethinking Spatial Invariance of Convolutional Networks for Object Counting
| 20 |
cvpr
| 9 | 2 |
2023-06-03 15:13:51.925000
|
https://github.com/zhiqic/rethinking-counting
| 39 |
Rethinking spatial invariance of convolutional networks for object counting
|
https://scholar.google.com/scholar?cluster=2341300770995896985&hl=en&as_sdt=0,10
| 1 | 2,022 |
An Efficient Training Approach for Very Large Scale Face Recognition
| 9 |
cvpr
| 9 | 5 |
2023-06-03 15:13:52.119000
|
https://github.com/tiandunx/FFC
| 82 |
An efficient training approach for very large scale face recognition
|
https://scholar.google.com/scholar?cluster=13947234014694089490&hl=en&as_sdt=0,14
| 2 | 2,022 |
MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection
| 11 |
cvpr
| 3 | 4 |
2023-06-03 15:13:52.313000
|
https://github.com/jongmokkim/mix-unmix
| 30 |
Mum: Mix image tiles and unmix feature tiles for semi-supervised object detection
|
https://scholar.google.com/scholar?cluster=7439091361445822478&hl=en&as_sdt=0,38
| 2 | 2,022 |
The Devil Is in the Pose: Ambiguity-Free 3D Rotation-Invariant Learning via Pose-Aware Convolution
| 5 |
cvpr
| 2 | 1 |
2023-06-03 15:13:52.508000
|
https://github.com/GostInShell/PaRI-Conv
| 6 |
The Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning via Pose-aware Convolution
|
https://scholar.google.com/scholar?cluster=8497699892320448024&hl=en&as_sdt=0,5
| 1 | 2,022 |
Group Contextualization for Video Recognition
| 13 |
cvpr
| 2 | 2 |
2023-06-03 15:13:52.702000
|
https://github.com/haoyanbin918/group-contextualization
| 14 |
Group Contextualization for Video Recognition
|
https://scholar.google.com/scholar?cluster=3668665525875112251&hl=en&as_sdt=0,21
| 1 | 2,022 |
Few-Shot Keypoint Detection With Uncertainty Learning for Unseen Species
| 13 |
cvpr
| 0 | 1 |
2023-06-03 15:13:52.895000
|
https://github.com/alanlusun/few-shot-keypoint-detection
| 20 |
Few-shot keypoint detection with uncertainty learning for unseen species
|
https://scholar.google.com/scholar?cluster=11935879951267374227&hl=en&as_sdt=0,15
| 5 | 2,022 |
Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation
| 13 |
cvpr
| 6 | 8 |
2023-06-03 15:13:53.090000
|
https://github.com/amingwu/single-dgod
| 30 |
Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation
|
https://scholar.google.com/scholar?cluster=2264172047322664872&hl=en&as_sdt=0,33
| 3 | 2,022 |
Neural RGB-D Surface Reconstruction
| 95 |
cvpr
| 55 | 14 |
2023-06-03 15:13:53.284000
|
https://github.com/dazinovic/neural-rgbd-surface-reconstruction
| 472 |
Neural rgb-d surface reconstruction
|
https://scholar.google.com/scholar?cluster=9532725352404399195&hl=en&as_sdt=0,33
| 19 | 2,022 |
3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection
| 3 |
cvpr
| 2 | 5 |
2023-06-03 15:13:53.479000
|
https://github.com/fjhzhixi/3d-sps
| 44 |
3d-sps: Single-stage 3d visual grounding via referred point progressive selection
|
https://scholar.google.com/scholar?cluster=12602737653645741463&hl=en&as_sdt=0,43
| 2 | 2,022 |
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation
| 8 |
cvpr
| 2 | 1 |
2023-06-03 15:13:53.673000
|
https://github.com/jianf-wang/gbdl
| 46 |
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation
|
https://scholar.google.com/scholar?cluster=9467645249954304537&hl=en&as_sdt=0,5
| 1 | 2,022 |
Cross-Domain Adaptive Teacher for Object Detection
| 36 |
cvpr
| 22 | 30 |
2023-06-03 15:13:53.867000
|
https://github.com/facebookresearch/adaptive_teacher
| 125 |
Cross-domain adaptive teacher for object detection
|
https://scholar.google.com/scholar?cluster=2590113947712489483&hl=en&as_sdt=0,11
| 7 | 2,022 |
Learning Multiple Dense Prediction Tasks From Partially Annotated Data
| 6 |
cvpr
| 0 | 2 |
2023-06-03 15:13:54.062000
|
https://github.com/vico-uoe/mtpsl
| 31 |
Learning multiple dense prediction tasks from partially annotated data
|
https://scholar.google.com/scholar?cluster=5744915286654827216&hl=en&as_sdt=0,5
| 2 | 2,022 |
Learning Non-Target Knowledge for Few-Shot Semantic Segmentation
| 18 |
cvpr
| 3 | 3 |
2023-06-03 15:13:54.256000
|
https://github.com/LIUYUANWEI98/NERTNet
| 26 |
Learning non-target knowledge for few-shot semantic segmentation
|
https://scholar.google.com/scholar?cluster=12689311458399310289&hl=en&as_sdt=0,14
| 2 | 2,022 |
Accurate 3D Body Shape Regression Using Metric and Semantic Attributes
| 13 |
cvpr
| 30 | 15 |
2023-06-03 15:13:54.451000
|
https://github.com/muelea/shapy
| 221 |
Accurate 3D body shape regression using metric and semantic attributes
|
https://scholar.google.com/scholar?cluster=4391312798610099614&hl=en&as_sdt=0,43
| 13 | 2,022 |
Leveraging Adversarial Examples To Quantify Membership Information Leakage
| 6 |
cvpr
| 1 | 0 |
2023-06-03 15:13:54.645000
|
https://github.com/ganeshdg95/leveraging-adversarial-examples-to-quantify-membership-information-leakage
| 12 |
Leveraging adversarial examples to quantify membership information leakage
|
https://scholar.google.com/scholar?cluster=13547022737227796799&hl=en&as_sdt=0,5
| 2 | 2,022 |
Real-Time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders
| 4 |
cvpr
| 3 | 0 |
2023-06-03 15:13:54.840000
|
https://github.com/makamoa/hyplex
| 15 |
Real-time hyperspectral imaging in hardware via trained metasurface encoders
|
https://scholar.google.com/scholar?cluster=11331603902909093284&hl=en&as_sdt=0,5
| 2 | 2,022 |
Point-NeRF: Point-Based Neural Radiance Fields
| 93 |
cvpr
| 116 | 53 |
2023-06-03 15:13:55.034000
|
https://github.com/Xharlie/pointnerf
| 839 |
Point-nerf: Point-based neural radiance fields
|
https://scholar.google.com/scholar?cluster=35440399082752988&hl=en&as_sdt=0,5
| 18 | 2,022 |
Clean Implicit 3D Structure From Noisy 2D STEM Images
| 1 |
cvpr
| 1 | 0 |
2023-06-03 15:13:55.229000
|
https://github.com/hannahkniesel/implicit-electron-tomography
| 12 |
Clean implicit 3d structure from noisy 2d stem images
|
https://scholar.google.com/scholar?cluster=8403324001091988092&hl=en&as_sdt=0,5
| 2 | 2,022 |
Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition
| 34 |
cvpr
| 13 | 1 |
2023-06-03 15:13:55.423000
|
https://github.com/yan9-y/d4
| 59 |
Self-augmented unpaired image dehazing via density and depth decomposition
|
https://scholar.google.com/scholar?cluster=14864964873917168900&hl=en&as_sdt=0,18
| 2 | 2,022 |
PokeBNN: A Binary Pursuit of Lightweight Accuracy
| 15 |
cvpr
| 18 | 18 |
2023-06-03 15:13:55.617000
|
https://github.com/google/aqt
| 58 |
Pokebnn: A binary pursuit of lightweight accuracy
|
https://scholar.google.com/scholar?cluster=5123791167800798572&hl=en&as_sdt=0,33
| 5 | 2,022 |
UKPGAN: A General Self-Supervised Keypoint Detector
| 5 |
cvpr
| 3 | 0 |
2023-06-03 15:13:55.812000
|
https://github.com/qq456cvb/UKPGAN
| 48 |
Ukpgan: A general self-supervised keypoint detector
|
https://scholar.google.com/scholar?cluster=7562868552807272633&hl=en&as_sdt=0,8
| 7 | 2,022 |
Sparse Object-Level Supervision for Instance Segmentation With Pixel Embeddings
| 5 |
cvpr
| 6 | 2 |
2023-06-03 15:13:56.006000
|
https://github.com/kreshuklab/spoco
| 26 |
Sparse object-level supervision for instance segmentation with pixel embeddings
|
https://scholar.google.com/scholar?cluster=6981889473218887560&hl=en&as_sdt=0,44
| 9 | 2,022 |
How Do You Do It? Fine-Grained Action Understanding With Pseudo-Adverbs
| 7 |
cvpr
| 1 | 0 |
2023-06-03 15:13:56.201000
|
https://github.com/hazeld/pseudoadverbs
| 6 |
How do you do it? fine-grained action understanding with pseudo-adverbs
|
https://scholar.google.com/scholar?cluster=3761537401906399664&hl=en&as_sdt=0,5
| 2 | 2,022 |
Cascade Transformers for End-to-End Person Search
| 14 |
cvpr
| 13 | 7 |
2023-06-03 15:13:56.395000
|
https://github.com/kitware/coat
| 42 |
Cascade transformers for end-to-end person search
|
https://scholar.google.com/scholar?cluster=15632434916836947360&hl=en&as_sdt=0,11
| 4 | 2,022 |
Raw High-Definition Radar for Multi-Task Learning
| 16 |
cvpr
| 37 | 24 |
2023-06-03 15:13:56.589000
|
https://github.com/valeoai/radial
| 84 |
Raw high-definition radar for multi-task learning
|
https://scholar.google.com/scholar?cluster=9265903791684045961&hl=en&as_sdt=0,10
| 8 | 2,022 |
The Implicit Values of a Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement
| 6 |
cvpr
| 10 | 0 |
2023-06-03 15:13:56.784000
|
https://github.com/princeton-computational-imaging/hndr
| 59 |
The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement
|
https://scholar.google.com/scholar?cluster=4961641186149767946&hl=en&as_sdt=0,44
| 8 | 2,022 |
PoseTriplet: Co-Evolving 3D Human Pose Estimation, Imitation, and Hallucination Under Self-Supervision
| 14 |
cvpr
| 23 | 4 |
2023-06-03 15:13:56.979000
|
https://github.com/garfield-kh/posetriplet
| 269 |
PoseTriplet: co-evolving 3D human pose estimation, imitation, and hallucination under self-supervision
|
https://scholar.google.com/scholar?cluster=9893207106663949138&hl=en&as_sdt=0,14
| 18 | 2,022 |
InsetGAN for Full-Body Image Generation
| 21 |
cvpr
| 17 | 3 |
2023-06-03 15:13:57.173000
|
https://github.com/afruehstueck/insetGAN
| 130 |
Insetgan for full-body image generation
|
https://scholar.google.com/scholar?cluster=1898916154747224188&hl=en&as_sdt=0,5
| 8 | 2,022 |
Coarse-To-Fine Q-Attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
| 30 |
cvpr
| 23 | 6 |
2023-06-03 15:13:57.367000
|
https://github.com/stepjam/ARM
| 105 |
Coarse-to-fine q-attention: Efficient learning for visual robotic manipulation via discretisation
|
https://scholar.google.com/scholar?cluster=14447254555897721646&hl=en&as_sdt=0,1
| 5 | 2,022 |
ONCE-3DLanes: Building Monocular 3D Lane Detection
| 9 |
cvpr
| 11 | 11 |
2023-06-03 15:13:57.563000
|
https://github.com/once-3dlanes/once_3dlanes_benchmark
| 76 |
Once-3dlanes: Building monocular 3d lane detection
|
https://scholar.google.com/scholar?cluster=6284174835150322196&hl=en&as_sdt=0,5
| 4 | 2,022 |
HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening
| 16 |
cvpr
| 11 | 9 |
2023-06-03 15:13:57.756000
|
https://github.com/wgcban/HyperTransformer
| 83 |
HyperTransformer: A textural and spectral feature fusion transformer for pansharpening
|
https://scholar.google.com/scholar?cluster=14786042990833201883&hl=en&as_sdt=0,31
| 1 | 2,022 |
Visual Abductive Reasoning
| 17 |
cvpr
| 10 | 3 |
2023-06-03 15:13:57.951000
|
https://github.com/leonnnop/var
| 104 |
Visual abductive reasoning
|
https://scholar.google.com/scholar?cluster=12179295455727948525&hl=en&as_sdt=0,33
| 5 | 2,022 |
MPViT: Multi-Path Vision Transformer for Dense Prediction
| 79 |
cvpr
| 33 | 11 |
2023-06-03 15:13:58.145000
|
https://github.com/youngwanLEE/MPViT
| 303 |
Mpvit: Multi-path vision transformer for dense prediction
|
https://scholar.google.com/scholar?cluster=15814018180296500902&hl=en&as_sdt=0,5
| 9 | 2,022 |
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models
| 9 |
cvpr
| 0 | 0 |
2023-06-03 15:13:58.365000
|
https://github.com/seekingdream/nicgslowdown
| 3 |
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models
|
https://scholar.google.com/scholar?cluster=18315829706085781932&hl=en&as_sdt=0,5
| 1 | 2,022 |
Modulated Contrast for Versatile Image Synthesis
| 50 |
cvpr
| 5 | 4 |
2023-06-03 15:13:58.562000
|
https://github.com/fnzhan/monce
| 26 |
Modulated contrast for versatile image synthesis
|
https://scholar.google.com/scholar?cluster=12701507388309605801&hl=en&as_sdt=0,44
| 3 | 2,022 |
MonoGround: Detecting Monocular 3D Objects From the Ground
| 7 |
cvpr
| 5 | 3 |
2023-06-03 15:13:58.757000
|
https://github.com/cfzd/monoground
| 21 |
Monoground: Detecting monocular 3d objects from the ground
|
https://scholar.google.com/scholar?cluster=2819960665559066982&hl=en&as_sdt=0,41
| 3 | 2,022 |
Neural 3D Video Synthesis From Multi-View Video
| 59 |
cvpr
| 4 | 6 |
2023-06-03 15:13:58.951000
|
https://github.com/facebookresearch/neural_3d_video
| 187 |
Neural 3d video synthesis from multi-view video
|
https://scholar.google.com/scholar?cluster=5276989799202751831&hl=en&as_sdt=0,44
| 9 | 2,022 |
Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning
| 13 |
cvpr
| 5 | 1 |
2023-06-03 15:13:59.146000
|
https://github.com/Yfyangd/CVPR2022
| 2 |
Semiconductor defect detection by hybrid classical-quantum deep learning
|
https://scholar.google.com/scholar?cluster=5593241258278623802&hl=en&as_sdt=0,5
| 2 | 2,022 |
Learning What Not To Segment: A New Perspective on Few-Shot Segmentation
| 46 |
cvpr
| 32 | 9 |
2023-06-03 15:13:59.341000
|
https://github.com/chunbolang/BAM
| 187 |
Learning what not to segment: A new perspective on few-shot segmentation
|
https://scholar.google.com/scholar?cluster=1275326702368315775&hl=en&as_sdt=0,5
| 3 | 2,022 |
SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing
| 24 |
cvpr
| 35 | 21 |
2023-06-03 15:13:59.542000
|
https://github.com/seasonSH/SemanticStyleGAN
| 208 |
Semanticstylegan: Learning compositional generative priors for controllable image synthesis and editing
|
https://scholar.google.com/scholar?cluster=12283378212518776126&hl=en&as_sdt=0,5
| 8 | 2,022 |
StyleGAN-V: A Continuous Video Generator With the Price, Image Quality and Perks of StyleGAN2
| 61 |
cvpr
| 31 | 17 |
2023-06-03 15:13:59.737000
|
https://github.com/universome/stylegan-v
| 252 |
Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2
|
https://scholar.google.com/scholar?cluster=7760725159980384673&hl=en&as_sdt=0,5
| 19 | 2,022 |
DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors
| 2 |
cvpr
| 1 | 0 |
2023-06-03 15:13:59.930000
|
https://github.com/poloclub/detector-detective
| 2 |
DetectorDetective: Investigating the effects of adversarial examples on object detectors
|
https://scholar.google.com/scholar?cluster=3923002038356489512&hl=en&as_sdt=0,5
| 21 | 2,022 |
Pin the Memory: Learning To Generalize Semantic Segmentation
| 15 |
cvpr
| 0 | 2 |
2023-06-03 15:14:00.125000
|
https://github.com/genie-kim/pinthememory
| 26 |
Pin the memory: Learning to generalize semantic segmentation
|
https://scholar.google.com/scholar?cluster=16086647685465767136&hl=en&as_sdt=0,47
| 3 | 2,022 |
Learning Where To Learn in Cross-View Self-Supervised Learning
| 11 |
cvpr
| 2 | 1 |
2023-06-03 15:14:00.319000
|
https://github.com/LayneH/LEWEL
| 24 |
Learning where to learn in cross-view self-supervised learning
|
https://scholar.google.com/scholar?cluster=6776914221737060740&hl=en&as_sdt=0,14
| 2 | 2,022 |
EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching
| 7 |
cvpr
| 3 | 2 |
2023-06-03 15:14:00.514000
|
https://github.com/shiyaya/emscore
| 18 |
EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching
|
https://scholar.google.com/scholar?cluster=9986430592002649643&hl=en&as_sdt=0,11
| 2 | 2,022 |
Iterative Deep Homography Estimation
| 11 |
cvpr
| 6 | 13 |
2023-06-03 15:14:00.708000
|
https://github.com/imdumpl78/ihn
| 41 |
Iterative deep homography estimation
|
https://scholar.google.com/scholar?cluster=6218921977782203274&hl=en&as_sdt=0,34
| 4 | 2,022 |
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
| 1 |
cvpr
| 2 | 1 |
2023-06-03 15:14:00.903000
|
https://github.com/wangzy22/SemAffiNet
| 41 |
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
|
https://scholar.google.com/scholar?cluster=1397059046755751146&hl=en&as_sdt=0,5
| 2 | 2,022 |
SNR-Aware Low-Light Image Enhancement
| 28 |
cvpr
| 11 | 14 |
2023-06-03 15:14:01.097000
|
https://github.com/dvlab-research/SNR-Aware-Low-Light-Enhance
| 67 |
SNR-aware low-light image enhancement
|
https://scholar.google.com/scholar?cluster=2246956610590692796&hl=en&as_sdt=0,14
| 2 | 2,022 |
Colar: Effective and Efficient Online Action Detection by Consulting Exemplars
| 12 |
cvpr
| 51 | 2 |
2023-06-03 15:14:01.292000
|
https://github.com/vividle/online-action-detection
| 259 |
Colar: Effective and efficient online action detection by consulting exemplars
|
https://scholar.google.com/scholar?cluster=2120205662490355948&hl=en&as_sdt=0,44
| 30 | 2,022 |
Structure-Aware Flow Generation for Human Body Reshaping
| 0 |
cvpr
| 8 | 3 |
2023-06-03 15:14:01.486000
|
https://github.com/jianqiangren/flowbasedbodyreshaping
| 91 |
Structure-Aware Flow Generation for Human Body Reshaping
|
https://scholar.google.com/scholar?cluster=3734161270165986121&hl=en&as_sdt=0,5
| 12 | 2,022 |
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search
| 9 |
cvpr
| 3 | 6 |
2023-06-03 15:14:01.681000
|
https://github.com/euphoria16/shapley-nas
| 18 |
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search
|
https://scholar.google.com/scholar?cluster=10417871289325994119&hl=en&as_sdt=0,10
| 2 | 2,022 |
3D Common Corruptions and Data Augmentation
| 15 |
cvpr
| 5 | 1 |
2023-06-03 15:14:01.875000
|
https://github.com/EPFL-VILAB/3DCommonCorruptions
| 61 |
3d common corruptions and data augmentation
|
https://scholar.google.com/scholar?cluster=2157253668952811882&hl=en&as_sdt=0,33
| 5 | 2,022 |
Vision-Language Pre-Training With Triple Contrastive Learning
| 88 |
cvpr
| 32 | 3 |
2023-06-03 15:14:02.070000
|
https://github.com/uta-smile/TCL
| 211 |
Vision-language pre-training with triple contrastive learning
|
https://scholar.google.com/scholar?cluster=5621601248354598907&hl=en&as_sdt=0,10
| 6 | 2,022 |
Injecting Semantic Concepts Into End-to-End Image Captioning
| 36 |
cvpr
| 0 | 8 |
2023-06-03 15:14:02.264000
|
https://github.com/jacobswan1/ViTCAP
| 34 |
Injecting semantic concepts into end-to-end image captioning
|
https://scholar.google.com/scholar?cluster=9045895437530863415&hl=en&as_sdt=0,33
| 1 | 2,022 |
SoftGroup for 3D Instance Segmentation on Point Clouds
| 65 |
cvpr
| 67 | 67 |
2023-06-03 15:14:02.459000
|
https://github.com/thangvubk/softgroup
| 271 |
Softgroup for 3d instance segmentation on point clouds
|
https://scholar.google.com/scholar?cluster=10361837058618716429&hl=en&as_sdt=0,5
| 12 | 2,022 |
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation
| 35 |
cvpr
| 17 | 2 |
2023-06-03 15:14:02.654000
|
https://github.com/pengtaojiang/l2g
| 46 |
L2g: A simple local-to-global knowledge transfer framework for weakly supervised semantic segmentation
|
https://scholar.google.com/scholar?cluster=6552627678865502997&hl=en&as_sdt=0,33
| 3 | 2,022 |
Deep Visual Geo-Localization Benchmark
| 16 |
cvpr
| 21 | 1 |
2023-06-03 15:14:02.848000
|
https://github.com/gmberton/deep-visual-geo-localization-benchmark
| 84 |
Deep visual geo-localization benchmark
|
https://scholar.google.com/scholar?cluster=3325367119668373345&hl=en&as_sdt=0,14
| 2 | 2,022 |
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks
| 21 |
cvpr
| 5 | 0 |
2023-06-03 15:14:03.042000
|
https://github.com/unispac/subnet-replacement-attack
| 12 |
Towards practical deployment-stage backdoor attack on deep neural networks
|
https://scholar.google.com/scholar?cluster=17139328398709168157&hl=en&as_sdt=0,5
| 2 | 2,022 |
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers
| 14 |
cvpr
| 3 | 0 |
2023-06-03 15:14:03.237000
|
https://github.com/intellabs/vl-interpret
| 62 |
Vl-interpret: An interactive visualization tool for interpreting vision-language transformers
|
https://scholar.google.com/scholar?cluster=16119852457910791592&hl=en&as_sdt=0,33
| 9 | 2,022 |
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
| 10 |
cvpr
| 8 | 8 |
2023-06-03 15:14:03.431000
|
https://github.com/clovaai/BESTIE
| 41 |
Beyond semantic to instance segmentation: Weakly-supervised instance segmentation via semantic knowledge transfer and self-refinement
|
https://scholar.google.com/scholar?cluster=6276145091064167820&hl=en&as_sdt=0,5
| 3 | 2,022 |
Scaling Vision Transformers
| 449 |
cvpr
| 58 | 6 |
2023-06-03 15:14:03.626000
|
https://github.com/google-research/big_vision
| 878 |
Scaling vision transformers
|
https://scholar.google.com/scholar?cluster=13501013621324561884&hl=en&as_sdt=0,14
| 23 | 2,022 |
LiDAR Snowfall Simulation for Robust 3D Object Detection
| 27 |
cvpr
| 16 | 1 |
2023-06-03 15:14:03.820000
|
https://github.com/syscv/lidar_snow_sim
| 118 |
Lidar snowfall simulation for robust 3d object detection
|
https://scholar.google.com/scholar?cluster=10885150940729856964&hl=en&as_sdt=0,5
| 11 | 2,022 |
EDTER: Edge Detection With Transformer
| 31 |
cvpr
| 19 | 37 |
2023-06-03 15:14:04.017000
|
https://github.com/mengyangpu/edter
| 174 |
Edter: Edge detection with transformer
|
https://scholar.google.com/scholar?cluster=13881045100514617650&hl=en&as_sdt=0,43
| 8 | 2,022 |
Learned Queries for Efficient Local Attention
| 11 |
cvpr
| 6 | 5 |
2023-06-03 15:14:04.212000
|
https://github.com/moabarar/qna
| 104 |
Learned queries for efficient local attention
|
https://scholar.google.com/scholar?cluster=5490257504184562365&hl=en&as_sdt=0,5
| 11 | 2,022 |
MVS2D: Efficient Multi-View Stereo via Attention-Driven 2D Convolutions
| 20 |
cvpr
| 10 | 7 |
2023-06-03 15:14:04.407000
|
https://github.com/zhenpeiyang/MVS2D
| 102 |
Mvs2d: Efficient multi-view stereo via attention-driven 2d convolutions
|
https://scholar.google.com/scholar?cluster=12068810377441312210&hl=en&as_sdt=0,33
| 12 | 2,022 |
Stereoscopic Universal Perturbations Across Different Architectures and Datasets
| 6 |
cvpr
| 0 | 0 |
2023-06-03 15:14:04.601000
|
https://github.com/alexklwong/stereoscopic-universal-perturbations
| 15 |
Stereoscopic universal perturbations across different architectures and datasets
|
https://scholar.google.com/scholar?cluster=2870130211892605355&hl=en&as_sdt=0,5
| 2 | 2,022 |
Blended Diffusion for Text-Driven Editing of Natural Images
| 158 |
cvpr
| 33 | 0 |
2023-06-03 15:14:04.795000
|
https://github.com/omriav/blended-diffusion
| 419 |
Blended diffusion for text-driven editing of natural images
|
https://scholar.google.com/scholar?cluster=5428518134765501665&hl=en&as_sdt=0,7
| 12 | 2,022 |
Semantic-Aware Domain Generalized Segmentation
| 27 |
cvpr
| 9 | 0 |
2023-06-03 15:14:04.989000
|
https://github.com/leolyj/san-saw
| 123 |
Semantic-aware domain generalized segmentation
|
https://scholar.google.com/scholar?cluster=5618227418226932379&hl=en&as_sdt=0,14
| 8 | 2,022 |
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation
| 4 |
cvpr
| 2 | 0 |
2023-06-03 15:14:05.184000
|
https://github.com/Meowuu7/AutoGPart
| 23 |
Autogpart: Intermediate supervision search for generalizable 3d part segmentation
|
https://scholar.google.com/scholar?cluster=10032151171864733868&hl=en&as_sdt=0,26
| 1 | 2,022 |
Egocentric Scene Understanding via Multimodal Spatial Rectifier
| 1 |
cvpr
| 1 | 2 |
2023-06-03 15:14:05.378000
|
https://github.com/tien-d/EgoDepthNormal
| 6 |
Egocentric Scene Understanding via Multimodal Spatial Rectifier
|
https://scholar.google.com/scholar?cluster=15125909252527214793&hl=en&as_sdt=0,41
| 1 | 2,022 |
A Structured Dictionary Perspective on Implicit Neural Representations
| 21 |
cvpr
| 3 | 0 |
2023-06-03 15:14:05.573000
|
https://github.com/gortizji/inr_dictionaries
| 43 |
A structured dictionary perspective on implicit neural representations
|
https://scholar.google.com/scholar?cluster=16723554554183827178&hl=en&as_sdt=0,5
| 11 | 2,022 |
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
| 85 |
cvpr
| 48 | 6 |
2023-06-03 15:14:05.768000
|
https://github.com/Haochen-Wang409/U2PL
| 333 |
Semi-supervised semantic segmentation using unreliable pseudo-labels
|
https://scholar.google.com/scholar?cluster=8472948658429734246&hl=en&as_sdt=0,5
| 5 | 2,022 |
AirObject: A Temporally Evolving Graph Embedding for Object Identification
| 1 |
cvpr
| 6 | 0 |
2023-06-03 15:14:05.962000
|
https://github.com/nik-v9/airobject
| 25 |
AirObject: A Temporally Evolving Graph Embedding for Object Identification
|
https://scholar.google.com/scholar?cluster=13398015743537790569&hl=en&as_sdt=0,10
| 2 | 2,022 |
Learning To Answer Questions in Dynamic Audio-Visual Scenarios
| 19 |
cvpr
| 5 | 3 |
2023-06-03 15:14:06.157000
|
https://github.com/GeWu-Lab/MUSIC-AVQA
| 47 |
Learning to answer questions in dynamic audio-visual scenarios
|
https://scholar.google.com/scholar?cluster=12720175875337885368&hl=en&as_sdt=0,34
| 2 | 2,022 |
Protecting Celebrities From DeepFake With Identity Consistency Transformer
| 16 |
cvpr
| 11 | 7 |
2023-06-03 15:14:06.352000
|
https://github.com/lightdxy/ict_deepfake
| 66 |
Protecting celebrities from deepfake with identity consistency transformer
|
https://scholar.google.com/scholar?cluster=9563175433071478179&hl=en&as_sdt=0,44
| 2 | 2,022 |
Synthetic Aperture Imaging With Events and Frames
| 4 |
cvpr
| 4 | 1 |
2023-06-03 15:14:06.547000
|
https://github.com/smjsc/ef-sai
| 6 |
Synthetic aperture imaging with events and frames
|
https://scholar.google.com/scholar?cluster=829659197793998594&hl=en&as_sdt=0,36
| 2 | 2,022 |
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning
| 11 |
cvpr
| 0 | 2 |
2023-06-03 15:14:06.740000
|
https://github.com/explainableml/kg-sp
| 8 |
Kg-sp: Knowledge guided simple primitives for open world compositional zero-shot learning
|
https://scholar.google.com/scholar?cluster=3759909791813909467&hl=en&as_sdt=0,14
| 5 | 2,022 |
CLIP-Event: Connecting Text and Images With Event Structures
| 42 |
cvpr
| 5 | 5 |
2023-06-03 15:14:06.935000
|
https://github.com/limanling/clip-event
| 81 |
Clip-event: Connecting text and images with event structures
|
https://scholar.google.com/scholar?cluster=1378863951284050870&hl=en&as_sdt=0,31
| 10 | 2,022 |
Stratified Transformer for 3D Point Cloud Segmentation
| 80 |
cvpr
| 37 | 32 |
2023-06-03 15:14:07.129000
|
https://github.com/dvlab-research/stratified-transformer
| 259 |
Stratified transformer for 3d point cloud segmentation
|
https://scholar.google.com/scholar?cluster=1467220452108327164&hl=en&as_sdt=0,31
| 5 | 2,022 |
Aug-NeRF: Training Stronger Neural Radiance Fields With Triple-Level Physically-Grounded Augmentations
| 17 |
cvpr
| 7 | 4 |
2023-06-03 15:14:07.324000
|
https://github.com/vita-group/aug-nerf
| 115 |
Aug-nerf: Training stronger neural radiance fields with triple-level physically-grounded augmentations
|
https://scholar.google.com/scholar?cluster=8839625228911014075&hl=en&as_sdt=0,33
| 16 | 2,022 |
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