Semantic Segmentation On Lombardia Sentinel 2

Overall Accuracy

Results

Performance results of various models on this benchmark

		Paper Title
UNet3D	80.77	Enhancing crop segmentation in satellite image time-series with transformer networks
Swin UNETR	79.64	Enhancing crop segmentation in satellite image time-series with transformer networks
3D FPN with NDVI Loss	77.23	Enhancing crop segmentation in satellite image time-series with transformer networks
DeepLabv3 3D	74.51	Enhancing crop segmentation in satellite image time-series with transformer networks

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