Video-Based Action Recognition of Spatial and Temporal Deep Learning Models
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9524-0_29
Reference22 articles.
1. Liu T, Ma Y, Yang W, Ji W, Wang R, Jiang P (2022) Spatial-temporal interaction learning based two-stream network for action recognition. Inf Sci 606:864–876
2. Zong M, Wang R, Ma Y, Ji W (2023) Spatial and temporal saliency based four-stream network with multi-task learning for action recognition. Appl Soft Comput 132:109884
3. Zhang Y, Guo Q, Du Z, Wu A (2023) Human action recognition for dynamic scenes of emergency rescue based on spatial-temporal fusion network. Electronics 12(3):538
4. Yang G, Zou W-X (2022) Deep learning network model based on fusion of spatiotemporal features for action recognition. Multimedia Tools Appl 81(7):9875–9896
5. Chang YL, Chan CS, Remagnino P (2021) Action recognition on continuous video. Neural Comput Appl 33:1233–1243
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