ICCV2023论文速递（2023.8.15）！
大家好, 最近正在优化每周分享的CVPR论文, 目前考虑按照不同类别去分类,方便不同方向的小伙伴挑选自己感兴趣的论文哈
最新成果demo展示：
ICCV 2023
Updated on : 15 Aug 2023
total number : 0
Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation
论文/Paper: http://arxiv.org/pdf/2308.07313
代码/Code: https://github.com/michel-liu/grouppose
Distance Matters For Improving Performance Estimation Under Covariate Shift
论文/Paper: http://arxiv.org/pdf/2308.07223
代码/Code: https://github.com/melanibe/distance_matters_performance_estimation
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization
论文/Paper: http://arxiv.org/pdf/2308.07163
代码/Code: https://github.com/greenautoml4fas/hypersparse
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
论文/Paper: http://arxiv.org/pdf/2308.07153
代码/Code: None
Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage
论文/Paper: http://arxiv.org/pdf/2308.07151
代码/Code: None
CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation
论文/Paper: http://arxiv.org/pdf/2308.07146
代码/Code: https://github.com/kevinlight831/ctp
SCSC: Spatial Cross-scale Convolution Module to Strengthen both CNNs and Transformers
论文/Paper: http://arxiv.org/pdf/2308.07110
代码/Code: None
Masked Motion Predictors are Strong 3D Action Representation Learners
论文/Paper: http://arxiv.org/pdf/2308.07092
代码/Code: https://github.com/maoyunyao/MAMP.
S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields
论文/Paper: http://arxiv.org/pdf/2308.07032
代码/Code: https://github.com/Madaoer/S3IM.
ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion
论文/Paper: http://arxiv.org/pdf/2308.07009
代码/Code: None
Global Features are All You Need for Image Retrieval and Reranking
论文/Paper: http://arxiv.org/pdf/2308.06954
代码/Code: https://github.com/shihaoshao-gh/superglobal
Knowing Where to Focus: Event-aware Transformer for Video Grounding
论文/Paper: http://arxiv.org/pdf/2308.06947
代码/Code: https://github.com/jinhyunj/eatr
Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking
论文/Paper: http://arxiv.org/pdf/2308.06904
代码/Code: https://github.com/kangben258/hit
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization
论文/Paper: http://arxiv.org/pdf/2308.06879
代码/Code: None
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
论文/Paper: http://arxiv.org/pdf/2308.06787
代码/Code: None
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
论文/Paper: http://arxiv.org/pdf/2308.06777
代码/Code: https://github.com/LiheYoung/ShrinkMatch
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
论文/Paper: http://arxiv.org/pdf/2308.06774
代码/Code: https://github.com/ladderlab-xjtu/DuMeta.
AerialVLN: Vision-and-Language Navigation for UAVs
论文/Paper: http://arxiv.org/pdf/2308.06735
代码/Code: https://github.com/AirVLN/AirVLN.
Compositional Feature Augmentation for Unbiased Scene Graph Generation
论文/Paper: http://arxiv.org/pdf/2308.06712
代码/Code: None
Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation
论文/Paper: http://arxiv.org/pdf/2308.06693
代码/Code: https://github.com/dlut-yyc/isomer
Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training
论文/Paper: http://arxiv.org/pdf/2308.06689
代码/Code: https://github.com/dravenalg/reste
3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking
论文/Paper: http://arxiv.org/pdf/2308.06635
代码/Code: https://github.com/dsx0511/3dmotformer
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning
论文/Paper: http://arxiv.org/pdf/2308.06622
代码/Code: https://github.com/nis-research/dfmx-augmentation
On the Interplay of Convolutional Padding and Adversarial Robustness
论文/Paper: http://arxiv.org/pdf/2308.06612
代码/Code: None
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction
论文/Paper: http://arxiv.org/pdf/2308.06554
代码/Code: https://github.com/hygenie1228/CycleAdapt_RELEASE.
Revisiting Vision Transformer from the View of Path Ensemble
论文/Paper: http://arxiv.org/pdf/2308.06548
代码/Code: None
SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning
论文/Paper: http://arxiv.org/pdf/2308.06531
代码/Code: https://github.com/aim-uofa/segprompt
BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation
论文/Paper: http://arxiv.org/pdf/2308.06530
代码/Code: None
Tiny and Efficient Model for the Edge Detection Generalization
论文/Paper: http://arxiv.org/pdf/2308.06468
代码/Code: https://github.com/xavysp/TEED.
U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds
论文/Paper: http://arxiv.org/pdf/2308.06383
代码/Code: https://github.com/zhangcyg/u-red
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning
论文/Paper: http://arxiv.org/pdf/2308.07209
代码/Code: None
CBA: Improving Online Continual Learning via Continual Bias Adaptor
论文/Paper: http://arxiv.org/pdf/2308.06925
代码/Code: https://github.com/wqza/cba-online-cl
Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches
论文/Paper: http://arxiv.org/pdf/2308.06776
代码/Code: https://github.com/linxin0/scpgabnet
Multi-Label Knowledge Distillation
论文/Paper: http://arxiv.org/pdf/2308.06453
代码/Code: https://github.com/penghui-yang/l2d