CH
Benchmarks
TaskDatasetSOTA resultTrendResults
CH dataset
0.942AUC
80
CH dataset
94.2AUC
80
CH
0.99AUC
80
CH dataset
89.9Dice
75
CH (test)
95.2Accuracy
64
CH
-0.419Negative RMSE
29
CH 50% random extra features
-0.409Negative RMSE
21
CH 50% corrupted features (50% noise)
-0.415Negative RMSE
21
CH
100Precision
17
CH
100ROC-AUC
17
CH
4.4Rank
14
CH corrupted features
-0.437Negative MSE
13
CH
99.2AUC (CH)
12
CH 75% corrupted features (noise)
-0.422Negative RMSE
10
CH (test)
0.893SSIM
10
CH
0.245WER
9
CH
86.2Accuracy
7
CH
0.864Score
7
CH
75.2Macro F1
6
CH
0.702MLE
6
CH 2x upscaling (test)
0.929SSIM
6
CH with second-order extra features
-0.422Negative RMSE
5
CH 4x upscaling (test)
78.19SSIM
5
CH 2x upscaling (test)
0.893SSIM
5
CH 4x upscaling (test)
83.08SSIM
5