Supervised Contrastive Learning for Few-Shot Action Classification-Reference-Cited by-同舟云学术

Supervised Contrastive Learning for Few-Shot Action Classification

Published:2023 Issue: Volume: Page:512-528
ISSN:0302-9743
Container-title:Machine Learning and Knowledge Discovery in Databases
language:
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Author:

Han Hongfeng^ORCID,Fei Nanyi^ORCID,Lu Zhiwu^ORCID,Wen Ji-Rong^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-26409-2_31

Reference44 articles.

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2. Ben-Ari, R., Nacson, M.S., Azulai, O., Barzelay, U., Rotman, D.: TAEN: temporal aware embedding network for few-shot action recognition. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2786–2794 (2021)

3. Bi, M., Zou, G., Pat, I.: TARN: temporal attentive relation network for few-shot and zero-shot action recognition. arXiv preprint arXiv:1907.09021 (2019)

4. Bo, Y., Lu, Y., He, W.: Few-shot learning of video action recognition only based on video contents. In: IEEE Winter Conference on Applications of Computer Vision, pp. 584–593 (2020)

5. Brattoli, B., Buchler, U., Wahl, A.S., Schwab, M.E., Ommer, B.: LSTM self-supervision for detailed behavior analysis. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 6466–6475 (2017)

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