Open wjun0830 opened 1 year ago
Hello. We'd like to introduce our paper.
Tailoring Self-Supervision for Supervised Learning
This paper handles self-supervision to be applied in the supervised domain. Even without any self-supervised loss, the localizable rotation benefits as an augmentation.
Hello. We'd like to introduce our paper.
LoRot
Tailoring Self-Supervision for Supervised Learning
This paper handles self-supervision to be applied in the supervised domain. Even without any self-supervised loss, the localizable rotation benefits as an augmentation.