FPGA acceleration of superpixel segmentation
Superpixel segmentation is a preprocessing step for computer vision applications, where an image is split into segments referred to as superpixels. Then running the main algorithm on these superpixels reduces the number of data points processed in comparison to running the algorithm on pixels directly, while still keeping much of the same information ...
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Dual-Branch Superpixel and Class-Center Attention Network for Efficient Semantic Segmentation. [PDF]
Zhang Y +5 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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Intelligent Detection Method of Defects in High-Rise Building Facades Using Infrared Thermography. [PDF]
Liu D +6 more
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A Fast Superpixel Segmentation Algorithm for PolSAR Images Based on Edge Refinement and Revised Wishart Distance. [PDF]
Zhang Y +5 more
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Multiscale CNN-state space model with feature fusion for crop disease detection from UAV imagery. [PDF]
Zhang T, Wang D, Chen W.
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Superpixel-based graph convolutional neural network for polarimetric synthetic aperture radar image classification. [PDF]
Imani M.
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Optimizing Image Segmentation for Microstructure Analysis of High-Strength Steel: Histogram-Based Recognition of Martensite and Bainite. [PDF]
Hallo F +4 more
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A 1.5 m resolution land cover map of Southern China created with Superpixel U-Net. [PDF]
Hu X +6 more
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Rediscovering lost colors: film color restoration by hyperspectral imaging and cluster-based spectral correction algorithm (CBSCA). [PDF]
Catelli E +7 more
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