Rethinking Matching-Based Few-Shot Action Recognition

Author:

Bertrand Juliette,Kalantidis Yannis,Tolias Giorgos

Publisher

Springer Nature Switzerland

Reference37 articles.

1. Bishay, M., Zoumpourlis, G., Patras, I.: Tarn: temporal attentive relation network for few-shot and zero-shot action recognition. In: BMVC (2019)

2. Cao, K., Brbić, M., Leskovec, J.: Concept learners for few-shot learning. In: ICLR (2021)

3. Cao, K., Ji, J., Cao, Z., Chang, C.-Y., Niebles, J.C.: Few-shot video classification via temporal alignment. In: CVPR (2020)

4. Chang, C.-Y., Huang, D.-A., Sui, Y., Fei-Fei, L., Niebles, J.C.: D3tw: discriminative differentiable dynamic time warping for weakly supervised action alignment and segmentation. In: CVPR (2019)

5. Chen, W.-Y., Liu, Y.-C., Kira, Z., Wang, Y.-C.F., Huang, J.-B.: A closer look at few-shot classification. In: ICLR (2019)

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1. Zero and few shot action recognition in videos with caption semantic and generative assist;International Journal of Information Technology;2024-04-07

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