Superpixel-based graph convolutional neural network for polarimetric synthetic aperture radar image classification. [PDF]
Imani M.
europepmc +1 more source
Multiscale CNN-state space model with feature fusion for crop disease detection from UAV imagery. [PDF]
Zhang T, Wang D, Chen W.
europepmc +1 more source
Trainable superpixel segmentation
Trainable Superpixel Segmentation is a plug-in developed for the ImageJ platform that aims at providing its users with the ability to train models to segment images by classifying superpixels using region-based image features. This project provides an underlying library that can be used independently, a graphic interface for ease of use and an ...
openaire +1 more source
Intelligent Detection Method of Defects in High-Rise Building Facades Using Infrared Thermography. [PDF]
Liu D +6 more
europepmc +1 more source
Rediscovering lost colors: film color restoration by hyperspectral imaging and cluster-based spectral correction algorithm (CBSCA). [PDF]
Catelli E +7 more
europepmc +1 more source
An Adaptive Superpixel Tracker Using Multiple Features
Jingjing Liu +4 more
openalex +1 more source
SPX-GNN: An Explainable Graph Neural Network for Harnessing Long-Range Dependencies in Tuberculosis Classifications in Chest X-Ray Images. [PDF]
Pala MA, Navdar MB.
europepmc +1 more source
Convolutional neural networks with superpixels : toward detail-preserving image segmentation (審査報告) [PDF]
哲平 鈴木
openalex
Fire Superpixel Image Data Set for Samarth 2019 study - PNG still image set
Ganesh Samarth
openalex +1 more source

