Funder
National Research Foundation of Korea
Reference79 articles.
1. Label-embedding for attribute-based classification;Akata,2013
2. Label-embedding for image classification;Akata;IEEE Transactions on Pattern Analysis and Machine Intelligence,2016
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.