TP-V1.V6: Semantic Segmentation
Tue, 4 Oct, 21:00 - 22:00 China Standard Time (UTC +8)
Tue, 4 Oct, 15:00 - 16:00 Central European Time (UTC +2)
Tue, 4 Oct, 13:00 - 14:00 UTC
Tue, 4 Oct, 09:00 - 10:00 Eastern Time (UTC -4)
Virtual Poster
Location: Gather.Town 6
Session Co-Chairs: Andrea Cavallaro, Queen Mary University of London and Jean-Christophe Pesquet, CentraleSupélec and Rebecca Willett, University of Chicago
Track: Image and Video Analysis, Synthesis, and Retrieval

TP-V1.V6.1: DRBANET: A LIGHTWEIGHT DUAL-RESOLUTION NETWORK FOR SEMANTIC SEGMENTATION WITH BOUNDARY AUXILIARY
Linjie Wang, Quan Zhou, Chenfeng Jiang, Xiaofu Wu, Nanjing University of Posts and Telecommunications, China; Longin Jan Latecki, Temple University, United States of America

TP-V1.V6.2: Query Learning of Both Thing and Stuff for Panoptic Segmentation
Shilin Xu, Xiangtai Li, Yibo Yang, Hongyang Li, Yunhai Tong, Peking University, China; Guangliang Cheng, SenseTime Research, China

TP-V1.V6.3: PRIOR SEMANTIC HARMONIZATION NETWORK FOR FEW-SHOT SEMANTIC SEGMENTATION
Xinhao Yang, Liyan Ma, Yang Zhou, Yan Peng, Shaorong Xie, Shanghai University, China

TP-V1.V6.4: INTERACTIVE IMAGE SEGMENTATION WITH TRANSFORMERS
Boris Faizov, Vlad Shakhuro, Anton Konushin, Samsung AI Center - Moscow, Russian Federation

TP-V1.V6.5: Aggregated Context Network for Semantic Segmentation of Aerial Images
Avinash Chouhan, Dibyajyoti Chutia, North Eastern Space Applications Centre, India; Arijit Sur, Indian Institute of Technology Guwahati, India

TP-V1.V6.6: BOUNDARY CORRECTED MULTI-SCALE FUSION NETWORK FOR REAL-TIME SEMANTIC SEGMENTATION
Tianjiao Jiang, Yi Jin, Tengfei Liang, Xu Wang, Yidong Li, Beijing Jiaotong University, China

TP-V1.V6.7: MCFM: MUTUAL CROSS FUSION MODULE FOR INTERMEDIATE FUSION-BASED ACTION SEGMENTATION
Kenta Ishihara, Gaku Nakano, Tetsuo Inoshita, NEC Corporation, Japan

TP-V1.V6.8: MASKFORMER WITH IMPROVED ENCODER-DECODER MODULE FOR SEMANTIC SEGMENTATION OF FINE-RESOLUTION REMOTE SENSING IMAGES
Zhuoxuan Li, Junli Yang, Yaqi Li, Ting Pan, Beijing University of Posts and Telecommunications, China; Bin Wang, China Mobile Research Institute, China

TP-V1.V6.9: LE-BEIT: A LOCAL-ENHANCED SELF-SUPERVISED TRANSFORMER FOR SEMANTIC SEGMENTATION OF HIGH RESOLUTION REMOTE SENSING IMAGES
Yifei Huang, Zideng Feng, Junli Yang, Jiaying Wang, Zhenglin Xian, Beijing University of Posts and Telecommunications, China; Bin Wang, China Mobile Research Institute, China

TP-V1.V6.10: EGNET: A NOVEL EDGE GUIDED NETWORK FOR INSTANCE SEGMENTATION
Kaiwen Du, Xiao Wang, Yan Yan, Yang Lu, Hanzi Wang, Xiamen University, China

TP-V1.V6.11: AUTOMATIC DEFECT SEGMENTATION BY UNSUPERVISED ANOMALY LEARNING
Nati Ofir, Ran Yacobi, Omer Granoviter, Boris Levant, Ore Shtalrid, Applied Materials, Israel

TP-V1.V6.12: EXPLORING ACTIVE LEARNING FOR SEMICONDUCTOR DEFECT SEGMENTATION
Lile Cai, Ramanpreet Singh Pahwa, Xun Xu, Jie Wang, Richard Chang, Lining Zhang, Chuan-Sheng Foo, Institute for Infocomm Research, Singapore

TP-V1.V6.13: HYPER-SPECTRAL IMAGING FOR OVERLAPPING PLASTIC FLAKES SEGMENTATION
Guillem Martínez, Maya Aghaei, Martin Dijkstra, Femke Jaarsma, Jaap van de Loosdrecht, Klaas Dijkstra, NHL Stenden, Netherlands; Bhalaji Nagarajan, Petia Radeva, Universitat de Barcelona, Spain

TP-V1.V6.14: REVIVING ITERATIVE TRAINING WITH MASK GUIDANCE FOR INTERACTIVE SEGMENTATION
Konstantin Sofiiuk, Anton Konushin, Samsung, Russian Federation; Ilya Petrov, University of Tubingen, Germany