SPARC: SuperPixel-Aware Region Contrastive Learning for Self-Supervised Dense Prediction
SPARC is proposed, a region-level contrastive learning framework that leverages superpixels to establish explicit correspondence between augmented image views, and introduces a region contrastive branch that performs superpixel-based feature pooling and optimizes a region-level contrastive objective jointly with a glob...
David Szczecina, Yuan-Pei Xiang, Ji-Tao Hu et al.
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