ResNet plus an existing class-specific residual attention module yields 90.23% mAP on multi-label hurricane damage classification using the RescueNet dataset.
Global Context-Based Multilevel Feature Fusion Networks for Multilabel Remote Sensing Image Scene Classification
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Multi-Label Classification Framework for Hurricane Damage Assessment
ResNet plus an existing class-specific residual attention module yields 90.23% mAP on multi-label hurricane damage classification using the RescueNet dataset.