WP2.L302.3
ONDA-DETR: ONLINE DOMAIN ADAPTATION FOR DETECTION TRANSFORMERS WITH SELF-TRAINING FRAMEWORK
Satoshi Suzuki, Taiga Yamane, Naoki Makishima, Keita Suzuki, Atsushi Ando, Ryo Masumura, NTT Corporation, Japan
Session:
WP2.L302: Machine Learning Domain Adaptation for Image Processing Lecture
Track:
Applications of Machine Learning
Location:
Room 302
Presentation Time:
Wed, 11 Oct, 17:06 - 17:24 Malaysia Time (UTC +8)
Session Chair:
Chiou-Ting Hsu, National Yang-Ming Chiao-Tung Univeristy
Session WP2.L302
WP2.L302.1: TARGET-DISCRIMINABILITY-INDUCED MULTI-SOURCE-FREE DOMAIN ADAPTATION
Gang Li, Qifei Zhang, Peizheng Wang, Rui He, Chao Wu, Zhejiang University, China
WP2.L302.2: Unknown Class Feature Transformation for Open Set Domain Adaptation without Source Data
Jian Zhong, City University of Hong Kong, Hong Kong; Si Wu, South China University of Technology, China; Hau-San Wong, City University of Hong Kong, Hong Kong
WP2.L302.3: ONDA-DETR: ONLINE DOMAIN ADAPTATION FOR DETECTION TRANSFORMERS WITH SELF-TRAINING FRAMEWORK
Satoshi Suzuki, Taiga Yamane, Naoki Makishima, Keita Suzuki, Atsushi Ando, Ryo Masumura, NTT Corporation, Japan
WP2.L302.4: SINGLE-DOMAIN GENERALIZATION FOR SEMANTIC SEGMENTATION VIA DUAL-LEVEL DOMAIN AUGMENTATION
Shu-Jung Chang, Chen-Yu Lu, Pei-Kai Huang, Chiou-Ting Hsu, National Tsing Hua University, Taiwan
WP2.L302.5: PROGRESSIVE MIXUP AUGMENTED TEACHER-STUDENT LEARNING FOR UNSUPERVISED DOMAIN ADAPTATION
Aotian Zheng, Jie Mei, University of Washington, United States of America; Farron Wallace, Craig Rose, National Oceanic and Atmospheric Administration (NOAA), United States of America; Rania Hussein, Jenq-Neng Hwang, University of Washington, United States of America
Contacts