Loop and distillation: Attention weights fusion transformer for fine‐grained representation
Abstract Learning subtle discriminative feature representation plays a significant role in Fine‐Grained Visual Categorisation (FGVC). The vision transformer (ViT) achieves promising performance in the traditional image classification filed due to its multi‐head self‐attention mechanism. Unfortunatel...
| Published in: | IET Computer Vision |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-06-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1049/cvi2.12181 |
