most citedMNet: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2023★ 2 cited

MNet: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition

Hao Tang, Jun Liu, Shuanglin Yan +3

Due to the scarcity of manually annotated data required for fine-grained video understanding, few-shot fine-grained (FS-FG) action recognition has gained significant attention, wit…