TA.PD.2
EFFICIENT PREDICTION OF MODEL TRANSFERABILITY IN SEMANTIC SEGMENTATION TASKS
Yang Tan, Tsinghua University, China; Yicong Li, Harvard University, United States of America; Yang Li, Xiao-Ping Zhang, Tsinghua University, China
Session:
TA.PD: Machine Learning for Image and Video Sensing, Modeling and Representation Poster
Track:
Applications of Machine Learning
Location:
Poster Area D
Presentation Time:
Tue, 10 Oct, 11:00 - 12:30 Malaysia Time (UTC +8)
Session Chair:
Yang Lu, Xiamen University
Session TA.PD
TA.PD.1: Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation
Yushun Tang, Southern University of Science and Technology, China; Qinghai Guo, Huawei Technologies Ltd., China; Zhihai He, Southern University of Science and Technology, China
TA.PD.2: EFFICIENT PREDICTION OF MODEL TRANSFERABILITY IN SEMANTIC SEGMENTATION TASKS
Yang Tan, Tsinghua University, China; Yicong Li, Harvard University, United States of America; Yang Li, Xiao-Ping Zhang, Tsinghua University, China
TA.PD.3: SPIKING GLOM: BIO-INSPIRED ARCHITECTURE FOR NEXT-GENERATION OBJECT RECOGNITION
Peng Kang, Northwestern University, United States of America; Srutarshi Banerjee, Argonne National Laboratory, United States of America; Henry Chopp, Aggelos Katsaggelos, Oliver Cossairt, Northwestern University, United States of America
TA.PD.4: MORE SYNERGY, LESS REDUNDANCY: EXPLOITING JOINT MUTUAL INFORMATION FOR SELF-SUPERVISED LEARNING
Salman Mohamadi, Gianfranco Doretto, Donald Adjeroh, West Virginia University, United States of America
TA.PD.5: HIGH-ACCURACY GESTURE RECOGNITION USING MM-WAVE RADAR BASED ON CONVOLUTIONAL BLOCK ATTENTION MODULE
Yuqing Song, Longwen Wu, Yaqin Zhao, Harbin Institute of Technology, China; Puqiu Liu, China Aerospace Science and Industry Corporation, China; Ruchen Lv, Hikmat Ullah, Harbin Institute of Technology, China
TA.PD.6: INTERPRETING CONVOLUTIONAL NEURAL NETWORKS BY EXPLAINING THEIR PREDICTIONS
Toon Meynen, Hamed Behzadi-Khormouji, José Oramas, University of Antwerp, imec-IDLab, Belgium
TA.PD.7: Fusing Explicit and Implicit Flow for Optical Flow Estimation
Hyunse Yoon, Seongmin Lee, Sanghoon Lee, Yonsei University, Korea, Republic of
TA.PD.8: SDWD: STYLE DIVERSITY WEIGHTED DISTANCE EVALUATES THE INTRA-CLASS DATA DIVERSITY OF DISTRIBUTED GANS
Wei Wang, Ziwen Wu, Mingwei Zhang, Yue Li, Nankai University, China
TA.PD.9: CONSISTENT AND DIVERSE HUMAN MOTION PREDICTION USING CONDITIONAL VARIATIONAL AUTOENCODER WITH CONTEXT-AWARE LATENT SPACE
Chihiro Nakatsuka, Satoshi Komorita, KDDI Research, inc., Japan
TA.PD.10: LONG-TAILED FEDERATED LEARNING VIA AGGREGATED META MAPPING
Pinxin Qian, Yang Lu, Hanzi Wang, Xiamen University, China
TA.PD.11: Group Masked Model Learning for General Audio Representation
Sara Atito, Muhammed Awais, Tony Alex, Josef Kittler, University of Surrey, United Kingdom of Great Britain and Northern Ireland
TA.PD.12: FUNCTIONAL KNOWLEDGE TRANSFER WITH SELF-SUPERVISED REPRESENTATION LEARNING
Prakash Chandra Chhipa, Luleå Tekniska Universitet, Sweden; Muskaan Chopra, Gopal Mengi, Varun Gupta, CCET, Punjab University, Chandigarh, India; Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Luleå Tekniska Universitet, Sweden; Seiichi Uchida, Kyushu University, Fukuoka, Japan; Marcus Liwicki, Luleå Tekniska Universitet, Sweden
Contacts