… representation for semantic correspondence, we develop a multi-level contrastive representation
… We show that by applying the contrastive learning framework (He et al. 2020) merely …

… We conduct two tasks in this benchmark: semantic propagation and human part propagation
with instance identity. For the semantic mask propagation, we propagate the semantic …

… Furthermore, we propose a dense cross-image semantic contrastive learning framework for
… Following DenseCL [38], we get the correspondence of two dense views by calculating the …

… semantic correspondences between image pairs at all for finding semantic correspondences…
only, there must be knowledge about semantic correspondences built-in within them. For …

… semantic-aware fine-grained correspondence. Firstly, we demonstrate that semantic
correspondence is … Then contrastive learning uses the InfoNCE [46] to pull \(\textbf{z}_{1}\) close to …

… We consider the semantic part segmentation task of the Video Instance Parsing (VIP)
benchmark [120], which involves propagating labels of 20 parts — such as arm, leg, hair, shirt, …

… of the contrastive loss [7, 12], called correspondence contrastive loss. … The full correspondence
contrastive loss is given by … correspondence, semantic correspondence and accuracy of …

… Specifically, we design an innovative marginal contrastive loss that guides to … dense
correspondences explicitly. Nevertheless, building correspondence with domain-invariant semantics …

… We address the problem of semantic correspondence, that is, … a good compromise between
semantic flow methods, where … It focuses on designing fidelity terms (eg, using a contrastive …

… Specifically, we represent semantic and temporal correspondence cues using the RGB feature
map … A simple framework for contrastive learning of visual representations. In International …