IEEE

Comparative Study of Vision Transformer (ViT), Swin Transformer, and Transformer in Transformer (TNT) on Image Classification

Abstract: The advent of transformer models in computer vision has revolutionized image classification, significantly improving performance compared to standard convolutional neural networks (CNNs).
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, ...