Transformers

Comparative Assessment of CNN and Transformer U-Nets in Multiple Sclerosis Lesion Segmentation
Comparative evaluation of CNN and Transformer-based U-Net models for Multiple Sclerosis lesion segmentation in MRI data.
DOI
ATTransUNet: Semantic Segmentation Model for Building Segmentation from Aerial Image and Laser Data
Proposes ATTransUNet, combining attention mechanisms and transformers for high-precision building segmentation from aerial and LiDAR data.
DOI