SPARC: SuperPixel-Aware Region Contrastive Learning for Self-Supervised Dense Prediction
arXiv:2609.25067v1 Announce Type: new Abstract: Self-supervised learning (SSL) has become an effective approach for learning visual representations without manual annotations. Among SSL approaches, contrastive learning has been widely used for visual representation learning. However, existing contr…
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- 2026-09-23 04:00 · arXiv cs.CV
SPARC: SuperPixel-Aware Region Contrastive Learning for Self-Supervised Dense Prediction