SSTDA
Self-Supervised Temporal Domain Adaptation
2000년 도입 · 논문 2편에서 사용
Self-Supervised Temporal Domain Adaptation (SSTDA) is a method for action segmentation with self-supervised temporal domain adaptation. It contains two self-supervised auxiliary tasks (binary and sequential domain prediction) to jointly align cross-domain feature spaces embedded with local and global temporal dynamics.
출처: Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation
소개 논문: Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation
Domain Adaptation · General