Data augmentation is a crucial stage in any deeplearning model training process due to the scarcity of satellite images. It is able to contextually alter the present dataset to provide additional ...
Despite the remarkable progress of general object detection, the lack of labeled aerial images limits the robustness and generalization of the detector. Teacher–student learning is a feasible solution ...
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