297 citations · 551 across the 17 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.CV2021★ 31 cited
MetaFormer Is Actually What You Need for Vision
Weihao Yu, Mi Luo, Pan Zhou +5
Transformers have shown great potential in computer vision tasks. A common belief is their attention-based token mixer module contributes most to their competence. However, recent…
cs.CV2021★ 2 cited
Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition
Peng Wang, Jun Wen, Chenyang Si +2
Skeleton-based action recognition is widely used in varied areas, e.g., surveillance and human-machine interaction. Existing models are mainly learned in a supervised manner, thus…
cs.CV2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
Wentao Chen, Chenyang Si, Wei Wang +3
Few-shot learning is a challenging task since only few instances are given for recognizing an unseen class. One way to alleviate this problem is to acquire a strong inductive bias…