IEEE

DBCTNet: Double Branch Convolution-Transformer Network for Hyperspectral Image Classification

Abstract: Currently, deep learning (DL) methods represented by convolutional neural networks (CNNs) or Transformers are of great interest in hyperspectral image (HSI) classification. And recent works ...
IEEE

ConTNet: cross attention convolution and transformer for aneurysm image segmentation

Abstract: In recent years, Convolutional Neural Neural Networks (CNNs) and Transformer architectures have significantly advanced the field of medical image segmentation. Since CNNs can only obtain ...