Metric-Based Attention Feature Learning for Video Action Recognition
Conventional approaches for video action recognition were designed to learn feature maps using 3D convolutional neural networks (CNNs). For better action recognition, they trained the large-scale video datasets with the representation power of 3D CNN. However, action recognition is still a challengi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9373378/ |