Papers
ProtoTransfer: Cross-Modal Prototype Transfer for Point Cloud Segmentation
Pin Tang, Hai-Ming Xu, Chao Ma
Prototype-based Dataset Comparison
Nanne van Noord
Prototypes-oriented Transductive Few-shot Learning with Conditional Transport
Long Tian, Jingyi Feng, Xiaoqiang Chai et al.
Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation
Kai Huang, Feigege Wang, Ye Xi et al.
Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image Retrieval
Xinlong Yang, Haixin Wang, Jinan Sun et al.
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery
Hyungmin Kim, Sungho Suh, Daehwan Kim et al.
Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation
Shuangrui Ding, Peisen Zhao, Xiaopeng Zhang et al.
Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation
Yang Hai, Rui Song, Jiaojiao Li et al.
Pseudo-label Alignment for Semi-supervised Instance Segmentation
Jie Hu, Chen Chen, Liujuan Cao et al.
PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework
Bowen Li, Ziyuan Huang, Junjie Ye et al.
Pyramid Dual Domain Injection Network for Pan-sharpening
Xuanhua He, Keyu Yan, Rui Li et al.
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection
Yifan Zhang, Zhen Dong, Huanrui Yang et al.
Q-Diffusion: Quantizing Diffusion Models
Xiuyu Li, Yijiang Liu, Long Lian et al.
Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning
Binh M. Le, Simon S. Woo
Quality Diversity for Visual Pre-Training
Ruchika Chavhan, Henry Gouk, Da Li et al.
Query6DoF: Learning Sparse Queries as Implicit Shape Prior for Category-Level 6DoF Pose Estimation
Ruiqi Wang, Xinggang Wang, Te Li et al.
Query Refinement Transformer for 3D Instance Segmentation
Jiahao Lu, Jiacheng Deng, Chuxin Wang et al.
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras
Aron Schmied, Tobias Fischer, Martin Danelljan et al.
RANA: Relightable Articulated Neural Avatars
Umar Iqbal, Akin Caliskan, Koki Nagano et al.
Random Boxes Are Open-world Object Detectors
Yanghao Wang, Zhongqi Yue, Xian-Sheng Hua et al.
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning
Huimin Wu, Chenyang Lei, Xiao Sun et al.
Random Sub-Samples Generation for Self-Supervised Real Image Denoising
Yizhong Pan, Xiao Liu, Xiangyu Liao et al.
RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels
Ziyi Zhang, Weikai Chen, Chaowei Fang et al.
RankMixup: Ranking-Based Mixup Training for Network Calibration
Jongyoun Noh, Hyekang Park, Junghyup Lee et al.