ESC-ZSAR: Expanded Semantics from Categories with Cross-Attention for Zero-Shot Action Recognition

Author:

Lee Jeong-CheolORCID,Lee Dong-GyuORCID

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Reference79 articles.

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3. Akata, Z., Reed, S., Walter, D., Lee, H., & Schiele, B. (2015). Evaluation of Output Embeddings for Fine-Grained Image Classification. In Proceedings of the IEEE conference on computer vision and pattern recognition.

4. Arnab, A., Dehghani, M., Heigold, G., Sun, C., Lučić, M., & Schmid, C. (2021). ViViT: A Video Vision Transformer. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 6836–6846).

5. Bertasius, G., Wang, H., & Torresani, L. (2021). Is Space-Time Attention All You Need for Video Understanding?. In Proceedings of the international conference on machine learning.

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