TSViT slightly outperforms 3D U-Net on crop segmentation from Sentinel-2 time series while VistaFormer offers the best efficiency-performance balance.
Swin transformer and deep convolutional neural networks for coastal wetland classification using sentinel-1, sentinel-2, and lidar data
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A Comparative Study of Transformer and Convolutional Models for Crop Segmentation from Satellite Image Time Series
TSViT slightly outperforms 3D U-Net on crop segmentation from Sentinel-2 time series while VistaFormer offers the best efficiency-performance balance.