Heterogenous Action Ensembling for Visual Recognition of Large-Scale Actions
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-12097-8_31
Reference15 articles.
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3. Boulahia, S.Y., Anquetil, E., Multon, F., Kulpa, R.: CuDi3D: curvilinear displacement based approach for online 3d action detection. Comput. Vis. Image Underst. 174, 57–69 (2018)
4. Dai, C., Liu, X., Lai, J.: Human action recognition using two-stream attention based LSTM networks. Appl. Soft Comput. 86, 105820 (2020)
5. Donahue, J., Anne Hendricks, L., Guadarrama, S., Rohrbach, M.: Long-term recurrent convolutional networks for visual recognition and description. In: Conference on Computer Vision and Pattern Recognition, pp. 2625–2634. IEEE (2015)
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