IEEE

Spectral Structure-Aware Initialization and Probability-Consistent Self-Training for Cross-Scene Hyperspectral Image Classification

Abstract: Cross-scene classification of hyperspectral images (HSIs) aims to classify target domain (TD) data using only labeled source domain (SD) data and unlabeled TD data during training. However, ...
GitHub

usmanuhaka/tem-virus-multiprotocol

Multi-Protocol Re-Evaluation of TEM Virus Image Classification Code, source-aware split manifests, and results for the paper: Multi-Protocol Re-Evaluation of TEM Virus Image Classification with Source ...
IEEE

RandomViG: Random Vision Graph Neural Network for Image Classification

Abstract: Vision Graph Neural Network (ViG) is the first graph neural network model capable of directly processing image data. The community primarily focuses on the model structures to improve ViG’s ...