Abstract: Recent aerial object detection models rely on a large amount of labeled training data, which requires unaffordable manual labeling costs in large aerial scenes with dense objects. Active ...
Abstract: Label distribution learning (LDL) is a novel approach that outputs labels with varying degrees of description. To enhance the performance of LDL algorithms, researchers have developed ...
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