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...
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Main Authors: | Tu, Zhigang, Xie, Wei, Dauwels, Justin, Li, Baoxin, Yuan, Junsong |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/142212 |
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Institution: | Nanyang Technological University |
Language: | English |
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