Abstract: Few-shot object detection (FSOD) is a developing research topic in computer vision. Its core idea is to leverage abundant samples from base categories to train a model, which can then be ...
Abstract: In recent years, numerous efficient object detectors have emerged in computer vision. However, applying these models to remote sensing images remains challenging due to complex backgrounds, ...
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