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Claim this profileWorks12 from public data
- DD-Ranking: Rethinking the Evaluation of Dataset Distillation14
DD-Ranking, a unified evaluation framework, along with new general evaluation metrics to uncover the true performance improvements achieved by different methods are proposed, which provide a more comprehensive and fair evaluation standard for future research advancements.
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- Collaborative Feature-Logits Contrastive Learning for Open-Set Semi-Supervised Object Detection4
This work introduces a feature-level clustering method using contrastive loss to clarify vector boundaries in the feature space and highlight class differences in semi-supervised object detection, and enhances its ability to effectively distinguish between ID and OOD classes.
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