2 papers
cs.CV2023
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
Jungwuk Park, Dong-Jun Han, Soyeong Kim +1
In domain generalization (DG), the target domain is unknown when the model is being trained, and the trained model should successfully work on an arbitrary (and possibly unseen) ta…
cs.LG2022
Locally Supervised Learning with Periodic Global Guidance
Hasnain Irshad Bhatti, Jaekyun Moon
Locally supervised learning aims to train a neural network based on a local estimation of the global loss function at each decoupled module of the network. Auxiliary networks are t…