TBFE: Twin-Branch Feature Extraction Module for Hyperspectral Image Classification
Title:A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper Link: https://www.sciencedirect.com/science/article/abs/pii/S1051200425000922?via%3Dihub TBFE (Twin-Branch Feature Extraction): A parallel fusion of 2D and 3D convolutions, used to extract spatial and spectral features respectively. HPA (Hybrid Pooling Attention): A designed attention mechanism that combines average pooling and max pooling to enhance channel representation in … Read more