Concept-based Classification
Image classification using human-interpretable concepts
Papers
No papers found.
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | EQ-CBM (ResNet-34) | Task Accuracy (%) | 95.97 | — | Unverified |
| 2 | CGEM (ResNet-34) | Task Accuracy (%) | 94.63 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | EQ-CBM (ResNet-34) | Task Accuracy (%) | 56.6 | — | Unverified |
| 2 | CGEM (ResNet-34) | Task Accuracy (%) | 42.1 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | CGEM (ResNet-34) | Task Accuracy (%) | 79.68 | — | Unverified |
| 2 | EQ-CBM (ResNet-34) | Task Accuracy (%) | 79.31 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | CGEM (ResNet-34) | Task Accuracy (%) | 43.75 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | CGEM (ResNet-34) | Task Accuracy (%) | 89.25 | — | Unverified |