Learning SpatioTemporal and Motion Features in a Unified 2D Network for Action Recognition
Recent methods for action recognition always apply 3D Convolutional Neural Networks (CNNs) to extract spatiotemporal features and introduce optical flows to present motion features. Although achieving state-of-the-art performance, they are expensive in both time and space. In this paper, we propose...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 3 vom: 01. März, Seite 3347-3362
|
|---|
| 1. Verfasser: |
Wang, Mengmeng
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Xing, Jiazheng,
Su, Jing,
Chen, Jun,
Liu, Yong |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2023
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article |
|---|