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Image classification model based on large kernel attention mechanism and relative position self-attention mechanism
The Transformer has achieved great success in many computer vision tasks. With the in-depth exploration of it, researchers have found that Transformers can better obtain long-range features than convolutional neural networks (CNN). However, there will be a deterioration of local feature details when...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280586/ https://www.ncbi.nlm.nih.gov/pubmed/37346614 http://dx.doi.org/10.7717/peerj-cs.1344 |