HAT: A Visual Transformer Model for Image Recognition Based on Hierarchical Attention Transformation
In the field of image recognition, Visual Transformer (ViT) has excellent performance. However, ViT, relies on a fixed self-attentive layer, tends to lead to computational redundancy and makes it difficult to maintain the integrity of the image convolutional feature sequence during the training proc...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10247525/ |