Dense skip-attention for convolutional networks
Abstract The attention mechanism plays a crucial role in enhancing model performance by guiding the model to focus on important features. However, existing attention mechanism methods primarily concentrate on learning attention features within individual modules while ignoring interactions among ove...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-09346-8 |
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