MAD
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
MAD (test)
17.3Recall@1 (IoU=0.1)
35
MAD synthetic (test)
55.5Compression Score
29
MAD 1.0 (test)
11.26R@1 (IoU=0.3)
26
MAD
84.2Accuracy (ACC)
19
MAD-eval-Named v2 (test)
28.2C Score
17
MAD
0.704Precision (Pr)
14
MAD M (test)
0.861Macro F1 Score
13
mad (test)
84Median UAR
12
MAD (test)
98.4AUROC
11
MAD
99.5Gorilla
11
MAD (test)
15Recall@1 (Tol 0.1)
10
MAD
93.6Gorilla
9
MAD22
0.3EER (OpenCV)
8
MAD-eval-Named (test)
1.49Originality
8
MAD (test)
80.3Fuzzy ICR
6
MAD
12.76Recall@1 (tIoU=0.1)
6
MAD-sys (test)
95.6AUROC (Image-level)
6
MAD-C
94.82CCA
5
MAD-M
98.84CCA
5
MAD
58Compress
5
MAD v2 (test)
14.72Recall@1 (IoU=0.3)
4
MAD-C (Learned)
90.7Defense Success Rate (DSR)
4
MAD-M (Learned)
101.4DSR
4
MAD-Real (test)
95.6AUROC
4
MAD-eval Named
12.1R-L
4