Semantic Segmentation On Lombardia Sentinel 2
评估指标
Overall Accuracy
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Overall Accuracy | Paper Title | Repository |
---|---|---|---|
UNet3D | 80.77 | 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 | |
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 |
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