IEEE

Hyperspectral Image Classification via Dynamic Adaptive Graph Convolutional Network

Abstract: A dynamic graph convolutional network (DGCN) can represent temporal evolutionary features. Its compatibility with the spectral-dimensional characteristics of hyperspectral images (HSIs), ...
technologynetworks

AI in Research Histopathology: Deep Learning for Preclinical Tissue Analysis and Target Validation

Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.
GitHub

Superpixel-based Graph Convolutional Network for Semantic Segmentation

@article{jungsuperpixel, title={Superpixel-based Graph Convolutional Network for Semantic Segmentation}, author={Jung, Hoin and Park, Seong Yeon and Yang, Su and Kim, Jin} } Thie repository is an ...
IEEE

DSR-GCN: Differentiated-Scale Restricted Graph Convolutional Network for Few-Shot Hyperspectral Image Classification

Abstract: Graph convolutional networks (GCNs) have shown great potential for few-shot hyperspectral image (HSI) classification. Mainstream GCNs construct graphs according to single-scale segmentation, ...
PNAS

A topological solution to object segmentation and tracking

Contributed by J. Anthony Movshon; received March 9, 2022; accepted July 23, 2022; reviewed by Christos Papadimitriou and Qasim Zaidi This contribution is part of the special series of Inaugural ...