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Found 3 papers, 2 papers with code
DeNISE: Deep Networks for Improved Segmentation Edges
This paper presents Deep Networks for Improved Segmentation Edges (DeNISE), a novel data enhancement technique using edge detection and segmentation models to improve the boundary quality of segmentation masks.
A Contrastive Learning Scheme with Transformer Innate Patches
Contrastive Transformer enables existing contrastive learning techniques, often used for image classification, to benefit dense downstream prediction tasks such as semantic segmentation.
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