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ORCID17th ECCV 2022: Tel Aviv, Israel - Volume 30
- Shai Avidan, Gabriel J. Brostow
, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXX. Lecture Notes in Computer Science 13690, Springer 2022, ISBN 978-3-031-20055-7 - Bengisu Özbay, Octavia I. Camps, Mario Sznaier:
Fast Two-View Motion Segmentation Using Christoffel Polynomials. 1-19 - Xiaowen Ying, Mooi Choo Chuah:
UCTNet: Uncertainty-Aware Cross-Modal Transformer Network for Indoor RGB-D Semantic Segmentation. 20-37 - Geon Lee, Chanho Eom, Wonkyung Lee, Hyekang Park, Bumsub Ham:
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation. 38-55 - Shichao Dong, Guosheng Lin, Tzu-Yi Hung:
Learning Regional Purity for Instance Segmentation on 3D Point Clouds. 56-72 - Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu:
Cross-Domain Few-Shot Semantic Segmentation. 73-90 - Yuehui Han, Le Hui, Haobo Jiang, Jianjun Qian, Jin Xie:
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning. 91-107 - Yabo Chen, Yuchen Liu, Dongsheng Jiang, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, Qi Tian:
SdAE: Self-distillated Masked Autoencoder. 108-124 - Mehmet Aygün, Oisin Mac Aodha:
Demystifying Unsupervised Semantic Correspondence Estimation. 125-142 - Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira:
Open-Set Semi-Supervised Object Detection. 143-159 - Hengtong Hu, Lingxi Xie, Xinyue Huo, Richang Hong, Qi Tian:
Vibration-Based Uncertainty Estimation for Learning from Limited Supervision. 160-176 - Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu:
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. 177-194 - Jun Wei, Sheng Wang, S. Kevin Zhou, Shuguang Cui, Zhen Li:
Weakly Supervised Object Localization Through Inter-class Feature Similarity and Intra-class Appearance Consistency. 195-210 - Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce:
Active Learning Strategies for Weakly-Supervised Object Detection. 211-230 - Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Ling-Yu Duan:
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training. 231-246 - Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu:
Bootstrapped Masked Autoencoders for Vision BERT Pretraining. 247-264 - Bo Pang, Yifan Zhang, Yaoyi Li, Jia Cai, Cewu Lu:
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping. 265-282 - Oindrila Saha, Zezhou Cheng, Subhransu Maji:
Improving Few-Shot Part Segmentation Using Coarse Supervision. 283-299 - Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis:
What to Hide from Your Students: Attention-Guided Masked Image Modeling. 300-318 - Junsong Fan, Zhaoxiang Zhang, Tieniu Tan:
Pointly-Supervised Panoptic Segmentation. 319-336 - Longhui Wei, Lingxi Xie, Wengang Zhou, Houqiang Li, Qi Tian:
MVP: Multimodality-Guided Visual Pre-training. 337-353 - Wen-Yan Lin, Zhonghang Liu, Siying Liu:
Locally Varying Distance Transform for Unsupervised Visual Anomaly Detection. 354-371 - Lukas Hoyer, Dengxin Dai, Luc Van Gool:
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. 372-391 - Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer:
SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and Segmentation. 392-408 - Yuhui Quan, Xinran Qin, Tongyao Pang, Hui Ji:
Dual-Domain Self-supervised Learning and Model Adaption for Deep Compressive Imaging. 409-426 - Xudong Wang, Long Lian, Stella X. Yu:
Unsupervised Selective Labeling for More Effective Semi-supervised Learning. 427-445 - Simone Rossetti, Damiano Zappia, Marta Sanzari, Marco Schaerf, Fiora Pirri:
Max Pooling with Vision Transformers Reconciles Class and Shape in Weakly Supervised Semantic Segmentation. 446-463 - Wenwei Zhang, Jiangmiao Pang, Kai Chen, Chen Change Loy:
Dense Siamese Network for Dense Unsupervised Learning. 464-480 - Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang:
Multi-granularity Distillation Scheme Towards Lightweight Semi-supervised Semantic Segmentation. 481-498 - Feng Wang, Huiyu Wang, Chen Wei, Alan L. Yuille, Wei Shen:
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation. 499-515 - Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin:
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. 516-532 - Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi:
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. 533-549 - Tarun Kalluri, Astuti Sharma, Manmohan Chandraker:
MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation. 550-568 - Wenda Zhao, Fei Wei, You He, Huchuan Lu:
United Defocus Blur Detection and Deblurring via Adversarial Promoting Learning. 569-586 - Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou:
Synergistic Self-supervised and Quantization Learning. 587-604 - Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang:
Semi-supervised Vision Transformers. 605-620 - Yun Xing, Dayan Guan, Jiaxing Huang, Shijian Lu:
Domain Adaptive Video Segmentation via Temporal Pseudo Supervision. 621-639 - Linfeng Li, Minyue Jiang, Yue Yu, Wei Zhang, Xiangru Lin, Yingying Li, Xiao Tan, Jingdong Wang, Errui Ding:
Diverse Learner: Exploring Diverse Supervision for Semi-supervised Object Detection. 640-655 - Lanxiao Li, Michael Heizmann:
A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision. 656-673 - Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim:
ConMatch: Semi-supervised Learning with Confidence-Guided Consistency Regularization. 674-690 - Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha:
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. 691-707 - Zitong Huang, Yiping Bao, Bowen Dong, Erjin Zhou, Wangmeng Zuo:
W2N: Switching from Weak Supervision to Noisy Supervision for Object Detection. 708-724 - Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon:
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. 725-742
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