Benefiting From OOD Samples in Open-Set Semi-Supervised Object Detection
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Open-set semi-supervised object detection (OSSOD) is an emerging research area that relaxes the assumption of closed-set in semi-supervised object detection (SSOD), allowing unlabeled data to contain both in-distribution (ID) and out-of-distribution (OOD) samp... ...
