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Consistent constraint-based video-level learning for action recognition
Abstract This paper proposes a new neural network learning method to improve the performance for action recognition in video. Most human action recognition methods use a clip-level training strategy, which divides the video into multiple clips and trains the feature learning network by minimizing th...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SpringerOpen
2020-08-01
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| Colecção: | EURASIP Journal on Image and Video Processing |
| Assuntos: | |
| Acesso em linha: | http://link.springer.com/article/10.1186/s13640-020-00519-1 |
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