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Hyperspectral Semantic Segmentation on Hyperspectral City 2.0 (test)
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93.41
Mean Accuracy (mu)
HyperVision
88.7716
89.9758
91.18
92.3842
May 17, 2026
Mean Accuracy (mu)
Mean Accuracy (M)
F1 Score (M)
Mean IoU (J_M)
Updated 15d ago
Evaluation Results
Method
Method
Links
Mean Accuracy (mu)
Mean Accuracy (M)
F1 Score (M)
Mean IoU (J_M)
HyperVision
Trainable Params=15.9 M
2026.05
93.41
66.05
67.87
57.04
RU-Net
Trainable Params=21.2 M
2026.05
93.3
63.13
66.45
56.11
DeepLabV3+ (ResNet101)
Trainable Params=58.8 M
2026.05
91.76
58.57
62.23
51.85
DeepLabV3+ (MobileNet)
Trainable Params=5.2 M
2026.05
91.49
56.56
60.13
49.71
HyperFree
Trainable Params=15.9 M
2026.05
90.14
58.88
60.56
49.07
CGRSeg (False-color)
Trainable Params=19.1 M
2026.05
89.56
56.31
63.46
47.07
U-Net
Trainable Params=17.3 M
2026.05
88.95
54.25
56.28
45.63
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