Spatial-temporal multiscale feature optimization based two-stream convolutional neural network for action recognition
Author:
Funder
National Natural Science Foundation of China
Science and Technology Program of Hunan Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10586-024-04553-w.pdf
Reference60 articles.
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3. Nanda, A., Chauhan, D.S., Sa, K.P., Bakshi, S.: Illumination and scale invariant relevant visual features with hypergraph-based learning for multi-shot person re-identification. Multimed. Tools Appl. 78(4), 3885–3910 (2019). https://doi.org/10.1007/S11042-017-4875-7
4. Lan, Z., Zhu, Y., Hauptmann, A.G., Newsam, S.: Deep local video feature for action recognition. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 1219–1225 (2017). https://doi.org/10.1109/CVPRW.2017.161
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