MLSP-P3.3
Style Factorization: Explore Diverse Style Variation for Domain Generalization
Peng Ting, Ningbo University of Finance and Economic, China; Yizhi Luo, Yuqi Li, Chuanguang Yang, Institute of Computing Technology, Chinese Academy of Sciences, China; Ajian Liu, Institute of Automation, Chinese Academy of Sciences, China; Ziqiao Weng, The University of Sydney, China
Session:
MLSP-P3: Deep Learning Generalization Poster
Track:
Machine Learning for Signal Processing
Location:
Poster Zone 3C
Poster Board PZ-3C.3
Poster Board PZ-3C.3
Presentation Time:
Tue, 16 Apr, 13:10 - 15:10 (UTC +9)
Session Chair:
Georgios Giannakis, University of Minnesota
Session MLSP-P3
MLSP-P3.1: T-ENFP: AN EFFICIENT TRANSFORMER ENCODER-BASED SYSTEM FOR DRIVING BEHAVIOR CLASSIFICATION
Bin Guo, John Hansen, The University of Texas at Dallas, United States of America
MLSP-P3.2: DOUBLE REVERSE REGULARIZATION NETWORK BASED ON SELF-KNOWLEDGE DISTILLATION FOR SAR OBJECT CLASSIFICATION
Bo Xu, Hao Zheng, Zhigang Hu, Liu Yang, Meiguang Zheng, Xianting Feng, Wei Lin, Central South University, China
MLSP-P3.3: Style Factorization: Explore Diverse Style Variation for Domain Generalization
Peng Ting, Ningbo University of Finance and Economic, China; Yizhi Luo, Yuqi Li, Chuanguang Yang, Institute of Computing Technology, Chinese Academy of Sciences, China; Ajian Liu, Institute of Automation, Chinese Academy of Sciences, China; Ziqiao Weng, The University of Sydney, China
MLSP-P3.4: Improving Cross-domain Few-shot Classification with Multilayer Perceptron
Shuanghao Bai, Wanqi Zhou, Xi’an Jiaotong University, China; Zhirong Luan, Xi'an University of Technology, China; Donglin Wang, Westlake University, China; Badong Chen, Xi’an Jiaotong University, China
MLSP-P3.5: META-LEARNING WITH VERSATILE LOSS GEOMETRIES FOR FAST ADAPTATION USING MIRROR DESCENT
Yilang Zhang, Bingcong Li, Georgios Giannakis, University of Minnesota, United States of America
MLSP-P3.6: Multivariate Fourier Distribution Perturbation: Domain Shifts with Uncertainty in Frequency Domain
Xianfeng Li, WeiJie Chen, Shicai Yang, Hikvision Research Institute, China; Yishuang Li, Wenhao Guan, Lin Li, Xiamen University, China
MLSP-P3.7: DOMAINDIFF: BOOST OUT-OF-DISTRIBUTION GENERALIZATION WITH SYNTHETIC DATA
Qiaowei Miao, Junkun Yuan, Shengyu Zhang, Fei Wu, kun kuang, Zhejiang University, China
MLSP-P3.8: MULTI-LEVEL AUGMENTATION CONSISTENCY LEARNING AND SAMPLE SELECTION FOR SEMI-SUPERVISED DOMAIN GENERALIZATION
Mei Yu, Yujian Zhang, Xuewei Li, Ruixuan Zhang, Tianjin University, China; Han Jiang, OpenBayes (Tianjin) IT Co., Ltd, China; Jie Gao, Zhiqiang Liu, Tianjin University, China
MLSP-P3.9: INVARIANTOODG: LEARNING INVARIANT FEATURES OF POINT CLOUDS FOR OUT-OF-DISTRIBUTION GENERALIZATION
Zhimin Zhang, Xiang Gao, Wei Hu, Peking University, China
MLSP-P3.10: Learning Inference-Time Drift Sensor-Actuator for Domain Generalization
Shuoshuo Chen, Yushun Tang, Zhehan Kan, Zhihai He, Southern University of Science and Technology, China
MLSP-P3.11: INPUTMIX: A STRATEGY TO REGULARIZE AND BALANCE MULTI-MODALITY AND MULTI-VIEW MODEL LEARNING
Junjie Wang, Tomas Nordström, Umeå University, Sweden
MLSP-P3.12: SPDG-NET: SEMANTICS PRESERVING DOMAIN AUGMENTATION THROUGH STYLE INTERPOLATION FOR MULTI-SOURCE DOMAIN GENERALIZATION
Advait Kumar, Indian Institute of Technology Bombay, India; Shirsha Bose, Technical University of Munich, Germany; Mohamad Hassan, Biplab Banerjee, Indian Institute of Technology Bombay, India
Contacts