Table of Contents

• Fast Two-View Motion Segmentation Using Christoffel PolynomialsBengisu Özbay, Octavia I. Camps, Mario Sznaier. 1-19 [doi]
• UCTNet: Uncertainty-Aware Cross-Modal Transformer Network for Indoor RGB-D Semantic SegmentationXiaowen Ying, Mooi Choo Chuah. 20-37 [doi]
• Bi-directional Contrastive Learning for Domain Adaptive Semantic SegmentationGeon Lee, Chanho Eom, Wonkyung Lee, Hyekang Park, Bumsub Ham. 38-55 [doi]
• Learning Regional Purity for Instance Segmentation on 3D Point CloudsShichao Dong, Guosheng Lin, Tzu-Yi Hung. 56-72 [doi]
• Cross-Domain Few-Shot Semantic SegmentationShuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu. 73-90 [doi]
• Generative Subgraph Contrast for Self-Supervised Graph Representation LearningYuehui Han, Le Hui, Haobo Jiang, Jianjun Qian, Jin Xie. 91-107 [doi]
• SdAE: Self-distillated Masked AutoencoderYabo Chen, Yuchen Liu, Dongsheng Jiang, Xiaopeng Zhang 0008, Wenrui Dai, Hongkai Xiong, Qi Tian 0001. 108-124 [doi]
• Demystifying Unsupervised Semantic Correspondence EstimationMehmet Aygün, Oisin Mac Aodha. 125-142 [doi]
• Open-Set Semi-Supervised Object DetectionYen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira. 143-159 [doi]
• Vibration-Based Uncertainty Estimation for Learning from Limited SupervisionHengtong Hu, Lingxi Xie, Xinyue Huo, Richang Hong, Qi Tian 0001. 160-176 [doi]
• Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain AdaptationJogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu. 177-194 [doi]
• Weakly Supervised Object Localization Through Inter-class Feature Similarity and Intra-class Appearance ConsistencyJun Wei, Sheng Wang, S. Kevin Zhou, Shuguang Cui, Zhen Li. 195-210 [doi]
• Active Learning Strategies for Weakly-Supervised Object DetectionHuy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce. 211-230 [doi]
• mc-BEiT: Multi-choice Discretization for Image BERT Pre-trainingXiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Ling-Yu Duan. 231-246 [doi]
• Bootstrapped Masked Autoencoders for Vision BERT PretrainingXiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen 0001, Weiming Zhang 0001, Lu Yuan, Dong Chen 0003, Fang Wen 0001, Nenghai Yu. 247-264 [doi]
• Unsupervised Visual Representation Learning by Synchronous Momentum GroupingBo Pang, Yifan Zhang, Yaoyi Li, Jia Cai, Cewu Lu. 265-282 [doi]
• Improving Few-Shot Part Segmentation Using Coarse SupervisionOindrila Saha, Zezhou Cheng, Subhransu Maji. 283-299 [doi]
• What to Hide from Your Students: Attention-Guided Masked Image ModelingIoannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis. 300-318 [doi]
• Pointly-Supervised Panoptic SegmentationJunsong Fan, Zhaoxiang Zhang, Tieniu Tan. 319-336 [doi]
• MVP: Multimodality-Guided Visual Pre-trainingLonghui Wei, Lingxi Xie, Wengang Zhou, Houqiang Li, Qi Tian 0001. 337-353 [doi]
• Locally Varying Distance Transform for Unsupervised Visual Anomaly DetectionWen-Yan Lin, Zhonghang Liu, Siying Liu. 354-371 [doi]
• HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic SegmentationLukas Hoyer, Dengxin Dai, Luc Van Gool. 372-391 [doi]
• SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and SegmentationYang Zou, Jongheon Jeong, Latha Pemula, DongQing Zhang, Onkar Dabeer. 392-408 [doi]
• Dual-Domain Self-supervised Learning and Model Adaption for Deep Compressive ImagingYuhui Quan, Xinran Qin, Tongyao Pang, Hui Ji. 409-426 [doi]
• Unsupervised Selective Labeling for More Effective Semi-supervised LearningXudong Wang, Long Lian, Stella X. Yu. 427-445 [doi]
• Max Pooling with Vision Transformers Reconciles Class and Shape in Weakly Supervised Semantic SegmentationSimone Rossetti, Damiano Zappia, Marta Sanzari, Marco Schaerf, Fiora Pirri. 446-463 [doi]
• Dense Siamese Network for Dense Unsupervised LearningWenwei Zhang, Jiangmiao Pang, Kai Chen 0026, Chen Change Loy. 464-480 [doi]
• Multi-granularity Distillation Scheme Towards Lightweight Semi-supervised Semantic SegmentationJie Qin, Jie Wu, Ming Li, XueFeng Xiao, Min Zheng, Xingang Wang. 481-498 [doi]
• 2: Copy-Paste Contrastive Pretraining for Semantic SegmentationFeng Wang, Huiyu Wang, Chen Wei 0005, Alan L. Yuille, Wei Shen 0002. 499-515 [doi]
• Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence PenalizationQi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin. 516-532 [doi]
• RDA: Reciprocal Distribution Alignment for Robust Semi-supervised LearningYue Duan, Lei Qi 0001, Lei Wang 0001, Luping Zhou, Yinghuan Shi. 533-549 [doi]
• MemSAC: Memory Augmented Sample Consistency for Large Scale Domain AdaptationTarun Kalluri, Astuti Sharma, Manmohan Chandraker. 550-568 [doi]
• United Defocus Blur Detection and Deblurring via Adversarial Promoting LearningWenda Zhao, Fei Wei, You He, Huchuan Lu. 569-586 [doi]
• Synergistic Self-supervised and Quantization LearningYun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu 0001, Shuchang Zhou. 587-604 [doi]
• Semi-supervised Vision TransformersZejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang. 605-620 [doi]
• Domain Adaptive Video Segmentation via Temporal Pseudo SupervisionYun Xing, Dayan Guan, Jiaxing Huang 0001, Shijian Lu. 621-639 [doi]
• Diverse Learner: Exploring Diverse Supervision for Semi-supervised Object DetectionLinfeng Li, Minyue Jiang, Yue Yu, Wei Zhang, Xiangru Lin, Yingying Li, Xiao Tan, Jingdong Wang 0001, Errui Ding. 640-655 [doi]
• A Closer Look at Invariances in Self-supervised Pre-training for 3D VisionLanxiao Li, Michael Heizmann. 656-673 [doi]
• ConMatch: Semi-supervised Learning with Confidence-Guided Consistency RegularizationJiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim. 674-690 [doi]
• FedX: Unsupervised Federated Learning with Cross Knowledge DistillationSungwon Han 0001, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie 0001, Meeyoung Cha. 691-707 [doi]
• W2N: Switching from Weak Supervision to Noisy Supervision for Object DetectionZitong Huang, Yiping Bao, Bowen Dong, Erjin Zhou, Wangmeng Zuo. 708-724 [doi]
• Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial RobustnessChaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In-So Kweon. 725-742 [doi]