FP-V2.V12.6

STRONG-WEAK INTEGRATED SEMI-SUPERVISION FOR UNSUPERVISED DOMAIN ADAPTATION

Xiaohu Lu, Hayder Radha, Michigan State University, United States of America
Session:
Weakly or Unsupervised Learning
Virtual Poster
Track:
Applications of Machine Learning
Location:
Gather.Town 12
Presentation Time:
Fri, 7 Oct, 22:00 - 23:00 China Standard Time (UTC +8)
Fri, 7 Oct, 16:00 - 17:00 Central European Time (UTC +1)
Fri, 7 Oct, 14:00 - 15:00 UTC
Fri, 7 Oct, 10:00 - 11:00 Eastern Time (UTC -5)
Session Co-Chairs:
Jean-Christophe Pesquet, CentraleSupélec and Andrea Cavallaro, Queen Mary University of London and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session FP-V2.V12
FP-V2.V12.1: SELF-SUPERVISED LEARNING OF OPTICAL FLOW, DEPTH, CAMERA POSE AND RIGIDITY SEGMENTATION WITH OCCLUSION HANDLING
Rokia Abdein, Xuezhi Xiang, Ning Lv, Harbin Engineering University, China
FP-V2.V12.2: SELF-SUPERVISED COOPERATIVE COLORIZATION OF ACHROMATIC FACES
Hitika Tiwari, Indian Institute of Technology Kanpur & National Yang Ming Chiao Tung University, India; Venkatesh K. Subramanian, Indian Institute of Technology Kanpur, India
FP-V2.V12.3: UNSUPERVISED DOMAIN ADAPTATION PERSON RE-IDENTIFICATION BY CAMERA-AWARE STYLE DECOUPLING AND UNCERTAINTY MODELING
Jingwen Guo, Hong Liu, Wei Shi, Jianbing Wu, Peking University, China; Hao Tang, ETH Zurich, China
FP-V2.V12.4: FEW-SHOT LEARNING NETWORK FOR MOVING OBJECT DETECTION USING EXEMPLAR-BASED ATTENTION MAP
Islam Osman, Mohamed Shehata, University of British Columbia, Canada
FP-V2.V12.5: LEARNABLE PIXEL CLUSTERING VIA STRUCTURE AND SEMANTIC DUAL CONSTRAINTS FOR UNSUPERVISED IMAGE SEGMENTATION
Bo Wang, Peking University and Institute of Automation, Chinese Academy of Science, China; Shiang Wang, Beijing Jiaotong University, China; Chunfeng Yuan, Bing Li, Weiming Hu, Institute of Automation, Chinese Academy of Science, China; Zhonghai Wu, Peking University, China; Jeffrey Xiong, Columbia University, United States of America
FP-V2.V12.6: STRONG-WEAK INTEGRATED SEMI-SUPERVISION FOR UNSUPERVISED DOMAIN ADAPTATION
Xiaohu Lu, Hayder Radha, Michigan State University, United States of America
FP-V2.V12.7: A SIMILARITY DISTILLATION GUIDED FEATURE REFINEMENT NETWORK FOR FEW-SHOT SEMANTIC SEGMENTATION
Shuchang Lyu, Binghao Liu, Lijiang Chen, Qi Zhao, Beihang University, China
FP-V2.V12.8: PGTNet: Prototype Guided Transfer Network for Few-shot Anomaly Localization
Zisong Zhuang, Junhang Zhang, Luwei Xiao, Tianlong Ma, Liang He, East China Nomal University, China
FP-V2.V12.9: MASK-GUIDED ATTENTION AND EPISODE ADAPTIVE WEIGHTS FOR FEW-SHOT SEGMENTATION
Hyeongjun Kwon, Taeyong Song, Kwanghoon Sohn, Yonsei University, Korea, Republic of; Sunok Kim, Korea Aerospace University, Korea, Republic of
FP-V2.V12.10: SELF-SUPERVISED CLASS-COGNIZANT FEW-SHOT CLASSIFICATION
Ojas Kishore Shirekar, Hadi Jamali-Rad, Delft University of Technology, Netherlands
FP-V2.V12.11: ACTIVEMATCH: END-TO-END SEMI-SUPERVISED ACTIVE REPRESENTATION LEARNING
Xinkai Yuan, Zilinghan Li, Gaoang Wang, Zhejiang University, China
FP-V2.V12.12: UNSUPERVISED ANOMALY DETECTION WITH SELF-TRAINING AND KNOWLEDGE DISTILLATION
Hongbo Liu, Xiu Li, Tsinghua Shenzhen International Graduate School, Tsinghua University, ShenZhen, China, China; Kai Li, NEC Labs, United States of America; Yulun Zhang, ETH Zurich, Switzerland
FP-V2.V12.13: POSITIVE UNLABELED LEARNING BY SEMI-SUPERVISED LEARNING
Zhuowei Wang, Jing Jiang, Guodong Long, University of Technology Sydney, Australia
FP-V2.V12.14: Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier
Harshita Boonlia, Ankan Mullick, Indian Institute of Technology Kharagpur, India; Tanmoy Dam, Sreenatha G. Anavatti, University of New South Wales, Canberra, Australia; Md Meftahul Ferdaus, Nanyang Technological University Singapore, Singapore
FP-V2.V12.15: SEMI-SUPERVISED RANKING FOR OBJECT IMAGE BLUR ASSESSMENT
Qiang Li, Zhaoliang Yao, Jingjing Wang, Ye Tian, Pengju Yang, Di Xie, Shiliang Pu, hikvision, China