Action Behavior Learning Based on a New Multi-Scale Interactive Perception Network
Action recognition is a fundamental research topic in the field of video understanding, but classical action recognition relies on a large amount of manually annotated video data, which limits its development. Small sample action recognition is a promising topic that can overcome the dependence on l...
Główni autorzy: | Chunlin Zheng, Jun Gu, Sheng Xu |
---|---|
Format: | Artykuł |
Język: | English |
Wydane: |
IEEE
2023-01-01
|
Seria: | IEEE Access |
Hasła przedmiotowe: | |
Dostęp online: | https://ieeexplore.ieee.org/document/10352162/ |
Podobne zapisy
-
Short Video Behavior Recognition Combining Scene and Behavior Features
od: DONG Xu, TAN Li, ZHOU Lina, SONG Yanyan
Wydane: (2020-10-01) -
Multi-Modal Human Action Segmentation Using Skeletal Video Ensembles
od: James Dickens, i wsp.
Wydane: (2023-11-01) -
A Novel Spatio-Temporal-Wise Network for Action Recognition
od: Zhengbao Cai
Wydane: (2023-01-01) -
Hybrid attentive prototypical network for few-shot action recognition
od: Zanxi Ruan, i wsp.
Wydane: (2024-08-01) -
Multi-Stream Single Network: Efficient Compressed Video Action Recognition With a Single Multi-Input Multi-Output Network
od: Hayato Terao, i wsp.
Wydane: (2024-01-01)