MLSP-23.2
GENERATION FOR UNSUPERVISED DOMAIN ADAPTATION: A GAN-BASED APPROACH FOR OBJECT CLASSIFICATION WITH 3D POINT CLOUD DATA
Junxuan Huang, Junsong Yuan, Chunming Qiao, University at buffalo, United States of America
Session:
Transfer Learning I
Track:
Machine Learning for Signal Processing
Location:
Gather Area H
Presentation Time:
Tue, 10 May, 20:00 - 20:45 China Time (UTC +8)
Tue, 10 May, 12:00 - 12:45 UTC
Tue, 10 May, 12:00 - 12:45 UTC
Session Chair:
Tomi Kinnunen, University of Eastern Finland
Session MLSP-23
MLSP-23.1: DOMAIN GENERALIZED FEW-SHOT IMAGE CLASSIFICATION VIA META REGULARIZATION NETWORK
Min Zhang, Zhejiang University, China; Siteng Huang, Donglin Wang, Westlake University, China
MLSP-23.2: GENERATION FOR UNSUPERVISED DOMAIN ADAPTATION: A GAN-BASED APPROACH FOR OBJECT CLASSIFICATION WITH 3D POINT CLOUD DATA
Junxuan Huang, Junsong Yuan, Chunming Qiao, University at buffalo, United States of America
MLSP-23.3: EXPLORING TRANSFERABILITY MEASURES AND DOMAIN SELECTION IN CROSS-DOMAIN SLOT FILLING
Xin-Chun Li, Yan-Jia Wang, Le Gan, De-Chuan Zhan, Nanjing University, China
MLSP-23.4: MAXIMUM BATCH FROBENIUS NORM FOR MULTI-DOMAIN TEXT CLASSIFICATION
Yuan Wu, Ahmed El-Roby, Carleton University, Canada; Diana Inkpen, University of Ottawa, Canada
MLSP-23.5: Joint Global-Local alignment for domain adaptive semantic segmentation
Sudhir Yarram, Yuan Junsong, Chunming Qiao, University at Buffalo, United States of America; Ming Yang, Horizon Robotics, United States of America
MLSP-23.6: Category-Adaptive Domain Adaptation for Semantic Segmentation
Zhiming Wang, Yantian Luo, Danlan Huang, Ning Ge, Jianhua Lu, Tsinghua University, China