[Paper] PSp-Transformer: A Transformer with Data-level Probabilistic Sparsity for Action Representation Learning

Author:

Zhou Jiaxin1,Komuro Takashi1

Affiliation:

1. Graduate School of Science and Engineering, Saitama University

Publisher

Institute of Image Information and Television Engineers

Subject

Computer Graphics and Computer-Aided Design,Media Technology,Signal Processing

Reference47 articles.

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3. 3) X.Wang, R.Girshick, A.Gupta, K.He : “Non-local neural networks”, Proceedings of the IEEE conference on computer vision and pattern recognition, pp.7794-7803 (2018)

4. 4) A.Vaswani, N.Shazeer, N.Parmar, J.Uszkoreit, L.Jones, A.Gomez, L.Kaiser and I.Polosukhin : “Attention is all you need”, Proceedings of the advances in neural information processing systems, vol.30 (2017)

5. 5) A.Dosovitskiy, L.Beyer, A.Kolesnikov, D.Weissenborn, X.Zhai, T.Unterthiner, M.Dehghani, M.Minderer, G.Heigold, S.Gelly, J.Uszkoreit and N.Houlsby : “An image is worth 16x16 words: transformers for image recognition at scale”, Proceedings of the international conference on learning representations (2021)

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