Creating a Novel Attention-Enhanced Framework for Video-Based Action Quality Assessment
Action Quality Assessment (AQA)—the task of evaluating how well human actions are performed—is essential in domains such as sports and medicine. Existing AQA methods typically rely on score regression following feature extraction but often neglect the ambiguity inherent in extracted features. In thi...
Saved in:
| Main Authors: | Wenhui Gong, Wei Li, Huosheng Hu, Zhijun Song, Zhiqiang Zeng, Jinhua Sun, Yuping Song |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Sci |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2413-4155/7/2/54 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Algorithm for Extracting Features of Basketball Players' Foul Actions Based on an Attention Mechanism
by: Peng Wang
Published: (2025-02-01) -
Manet: motion-aware network for video action recognition
by: Xiaoyang Li, et al.
Published: (2025-02-01) -
Video image feature extraction method for police drones investigation and evidence collection
by: CHEN Sixin, et al.
Published: (2024-12-01) -
Multi-Head Attention-Based Framework with Residual Network for Human Action Recognition
by: Basheer Al-Tawil, et al.
Published: (2025-05-01) -
MSAM:Video Question Answering Based on Multi-Stage Attention Model
by: LIANG Li-li, et al.
Published: (2022-08-01)