A Deep Spatial and Temporal Aggregation Framework for Video-Based Facial Expression Recognition
Video-based facial expression recognition is a long-standing problem owing to a gap between visual features and emotions, difficulties in tracking the subtle movement of muscles and limited datasets. The key to solving this problem is to exploit effective features characterizing facial expression to...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8674456/ |