Loop and distillation: Attention weights fusion transformer for fine‐grained representation
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. Unfortunately, ViT ca...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
John Wiley & Sons Ltd
2023
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| Online Access: | http://eprints.utem.edu.my/id/eprint/27758/2/0130221062024102412871.pdf http://eprints.utem.edu.my/id/eprint/27758/ https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/cvi2.12181 https://doi.org/10.1049/cvi2.12181 |
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