Benchmarking Federated Few-Shot Learning for Video-Based Action Recognition
Few-shot action recognition aims to train a model to classify actions in videos using only a few examples, known as “shots,” per action class. This learning approach is particularly useful but challenging due to the limited availability of labeled video data in practice. Althou...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10804801/ |
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