Abstract: The key that hinders the performance improvement of current camouflaged object detection (COD) models is the lack of discriminability of features at fine granularity. We solve this problem ...
Structured Adversarial Self-Supervised Learning for Robust Object Detection in Remote Sensing Images
Abstract: Object detection plays a crucial role in scene understanding and has extensive practical applications. In the field of remote sensing object detection, both detection accuracy and robustness ...
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