Collaborative Feature-Logits Contrastive Learning for Open-Set Semi-Supervised Object Detection
Current Semi-Supervised Object Detection (SSOD) methods enhance detector performance
by leveraging large amounts of unlabeled data, assuming that both labeled and unlabeled …
by leveraging large amounts of unlabeled data, assuming that both labeled and unlabeled …
Class-balanced Open-set Semi-supervised Object Detection for Medical Images
Medical image datasets in the real world are often unlabeled and imbalanced, and Semi-
Supervised Object Detection (SSOD) can utilize unlabeled data to improve an object …
Supervised Object Detection (SSOD) can utilize unlabeled data to improve an object …