Superpixel Random Selection Random Walk Multi-Branch Depthwise Convolutional Neural Network for Hyperspectral Image Classification. [PDF]
Zhang K, Jiang X, Cai Z.
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SLIC-Former: a superpixel-guided transformer framework for automatic liver segmentation in CT images. [PDF]
Elqersh SF +3 more
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Automatic Segmentation and Recognition of the Microstructure of High-Strength Low-Alloy Steel. [PDF]
Wang L +7 more
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Optimal seamline detection for SAR image mosaicking guided by superpixel segmentation and region merging. [PDF]
Yan D, Zeng F, Chen B, Huang R, She Y.
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Colorless image processing technique combining chromaticity transfer and image feature extraction in visual graphic design. [PDF]
Wu T, Liu B.
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Medial Features for Superpixel Segmentation.
Image segmentation plays an important role in computer vision and human scene perception. Image oversegmentation is a common technique to overcome the problem of managing the high number of pixels and the reasoning among them. Specifically, a local and coherent cluster that contains a statistically homogeneous region is denoted as a superpixel. In this
Engel, D. +5 more
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Free Space Estimation Based on Superpixel Clustering for Assisted Driving. [PDF]
Vitales O, Aguilar-Ponce R, Vigueras J.
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Explainable deep learning-based lung cancer diagnosis using clinically-guided local interpretable model-agnostic explanations. [PDF]
Hassan SU +6 more
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A novel superpixel based Vision Transformer for improving interpretability in glaucoma screening. [PDF]
Hernández J +3 more
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Detection of collagen band-associated regions in H&E-stained colonic biopsies of collagenous colitis patients using superpixel-based feature extraction and neural network classification. [PDF]
Kiudelis V +9 more
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