IVMSP-22.4
PGTRNET: TWO-PHASE WEAKLY SUPERVISED OBJECT DETECTION WITH PSEUDO GROUND TRUTH REFINEMENT
Jun Wang, University of Warwick, United Kingdom of Great Britain and Northern Ireland; Hefeng Zhou, Shanghai Jiao Tong University, China; Xiaohan Yu, School of Engineering and Built Environment, Australia
Session:
Object Detection I
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Gather Area J
Presentation Time:
Tue, 10 May, 22:00 - 22:45 China Time (UTC +8)
Tue, 10 May, 14:00 - 14:45 UTC
Tue, 10 May, 14:00 - 14:45 UTC
Session Chair:
Changhuai You, Institute for Infocomm Research, A*STAR
Session IVMSP-22
IVMSP-22.1: CRPN: DISTINGUISH NOVEL CATEGORIES VIA CLASS-RELEVANT REGION PROPOSAL NETWORK FOR FEW-SHOT OBJECT DETECTION
Han Wang, Yali Li, Shengjin Wang, Tsinghua University, China
IVMSP-22.2: An Efficient Framework for Detection and Recognition of Numerical Traffic Signs
Zhishan Li, Lei Xie, Hongye Su, Zhejiang University, China; Mingmu Chen, Yifan He, Reconova Technologies Co., Ltd, China
IVMSP-22.3: DIVERGENCE-GUIDED FEATURE ALIGNMENT FOR CROSS-DOMAIN OBJECT DETECTION
Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
IVMSP-22.4: PGTRNET: TWO-PHASE WEAKLY SUPERVISED OBJECT DETECTION WITH PSEUDO GROUND TRUTH REFINEMENT
Jun Wang, University of Warwick, United Kingdom of Great Britain and Northern Ireland; Hefeng Zhou, Shanghai Jiao Tong University, China; Xiaohan Yu, School of Engineering and Built Environment, Australia
IVMSP-22.5: NOVEL INSTANCE MINING WITH PSEUDO-MARGIN EVALUATION FOR FEW-SHOT OBJECT DETECTION
Weijie Liu, Chong Wang, Shenghao Yu, Chenchen Tao, Ningbo University, China; Jun Wang, China University of Mining and Technology, China; Jiafei Wu, SenseTime Research, China
IVMSP-22.6: BIP-NET: BIDIRECTIONAL PERSPECTIVE STRATEGY BASED ARBITRARY-SHAPED TEXT DETECTION NETWORK
Chuang Yang, Mulin Chen, Yuan Yuan, Qi Wang, School of Computer Science, and School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an 710072, Shaanxi, P. R. China, China