Lite-MKD: A Multi-modal Knowledge Distillation Framework for Lightweight Few-shot Action Recognition
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- Lite-MKD: A Multi-modal Knowledge Distillation Framework for Lightweight Few-shot Action Recognition
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Multi-view distillation based on multi-modal fusion for few-shot action recognition (CLIP-MDMF)
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![cover image ACM Conferences](/cms/asset/d47718ba-e12b-4e74-9bba-5d306ff94d49/3581783.cover.jpg)
- General Chairs:
- Abdulmotaleb El Saddik,
- Tao Mei,
- Rita Cucchiara,
- Program Chairs:
- Marco Bertini,
- Diana Patricia Tobon Vallejo,
- Pradeep K. Atrey,
- M. Shamim Hossain
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Association for Computing Machinery
New York, NY, United States
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- Research-article
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- Public Welfare Technology Research Project of Zhejiang Province
- National Natural Science Foundation of China
- The Pioneer and Leading Goose R&D Program of Zhejiang
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