Concept-based Classification
Image classification using human-interpretable concepts
Papers
Showing 1–1 of 1 papers
| Title | Status | Hype |
|---|---|---|
| Concept Graph Embedding Models for Enhanced Accuracy and Interpretability | Code | 0 |
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 |