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Found 3 papers, 1 papers with code
Superpixel-enhanced Pairwise Conditional Random Field for Semantic Segmentation
This paper proposes a superpixel-enhanced pairwise CRF framework that consists of the conventional pairwise as well as our proposed superpixel-enhanced pairwise (SP-Pairwise) potentials.
A Multi-Layer Approach to Superpixel-based Higher-order Conditional Random Field for Semantic Image Segmentation
Superpixel-based Higher-order Conditional random fields (SP-HO-CRFs) are known for their effectiveness in enforcing both short and long spatial contiguity for pixelwise labelling in computer vision.
"RAPID" Regions-of-Interest Detection In Big Histopathological Images
The sheer volume and size of histopathological images (e. g., 10^6 MPixel) underscores the need for faster and more accurate Regions-of-interest (ROI) detection algorithms.
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