no code implementations • 19 Feb 2023 • Yuan-Chia Cheng, Zu-Yun Shiau, Fu-En Yang, Yu-Chiang Frank Wang
In this paper, we present a learning framework of Tendency-and-Assignment Explainer (TAX), designed to offer interpretability at the annotator and assignment levels.
no code implementations • 27 Dec 2021 • Zu-Yun Shiau, Wei-Wei Lin, Ci-Siang Lin, Yu-Chiang Frank Wang
How to handle domain shifts when recognizing or segmenting visual data across domains has been studied by learning and vision communities.
1 code implementation • NeurIPS 2021 • Fu-En Yang, Yuan-Chia Cheng, Zu-Yun Shiau, Yu-Chiang Frank Wang
Domain generalization (DG) aims to transfer the learning task from a single or multiple source domains to unseen target domains.