Channel & spatial attention combines the advantages of channel attention and spatial attention. It adaptively selects both important objects and regions
Source: Residual Attention Network for Image ClassificationPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Change Detection | 1 | 16.67% |
Change detection for remote sensing images | 1 | 16.67% |
Earth Observation | 1 | 16.67% |
General Classification | 1 | 16.67% |
Image Classification | 1 | 16.67% |
Object Recognition | 1 | 16.67% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |