Abstract: Existing active learning methods for object detection face challenges, such as the lack of ground truth labels for regression loss, insufficient representation of unlabeled instance samples ...
Abstract: Semi-Supervised Object Detection (SSOD) has gained significant interest in recent years. However, the majority of existing methods are based on the close-set assumption. In this paper, we ...
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