Interpretability Evaluation on Stanford Cars
50.2ConsistencyAMP
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| AMP2026.03 | 50.2 | 76.4 | 33.5 | 5.65 | |
| MGProtoModel Category=Intrinsically Interpretable Models2026.03 | 45 | 74.2 | 36.8 | 6.05 | |
| CBCModel Category=Intrinsically Interpretable Models2026.03 | 42 | 75 | 35.9 | 6.18 | |
| ProtoArgNetModel Category=Intrinsically Interpretable Models2026.03 | 41 | 73.8 | 36.2 | 6.25 | |
| ProtoKNNModel Category=Intrinsically Interpretable Models2026.03 | 34.5 | 71.4 | 42.6 | 6.15 | |
| TesNetModel Category=Intrinsically Interpretable Models2026.03 | 31 | 70.7 | 45.8 | 7.8 | |
| ProtoPNetModel Category=Intrinsically Interpretable Models2026.03 | 26.5 | 69.6 | 49.5 | 8.7 | |
| PMGModel Category=Black-box Classifiers2026.03 | 18.1 | 62.3 | 53.2 | 9.38 | |
| NTS-NetModel Category=Black-box Classifiers2026.03 | 16.5 | 60.9 | 54.9 | 9.95 | |
| RA-CNNModel Category=Black-box Classifiers2026.03 | 15.3 | 59.6 | 56.2 | 10.35 |