Semantic cues enhanced multimodality multistream CNN for action recognition
This paper addresses the issue of video-based action recognition by exploiting an advanced multistream convolutional neural network (CNN) to fully use semantics-derived multiple modalities in both spatial (appearance) and temporal (motion) domains, since the performance of the CNN-based action recog...
| Главные авторы: | , , , , |
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| Другие авторы: | |
| Формат: | Journal Article |
| Язык: | English |
| Опубликовано: |
2020
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| Предметы: | |
| Online-ссылка: | https://hdl.handle.net/10356/142212 |