Class is invariant to context and vice versa: On learning invariance for out-of-distribution generalization

• Main Authors: QI, Jiaxin, TANG, Kaihua, SUN, Qianru, HUA, Xian-Sheng, ZHANG, Hanwang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/7514; https://ink.library.smu.edu.sg/context/sis_research/article/8517/viewcontent/ECCV2022__Class_Is_Invariant_to_Context_and_Vice_Versa__On_Learning_Invariance_forOut_Of_Distribution_Generalization__Camera_Ready__.pdf
• Institution: Singapore Management University

Out-Of-Distribution generalization (OOD) is all about learning invariance against environmental changes. If the context in every class is evenly distributed, OOD would be trivial because the context can be easily removed due to an underlying principle: class is invariant to context. However, collect...