NORB
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | NORB small (test) | Error Rate0.01 | 26 | |
| Few-shot classification | SmallNORB | Accuracy82 | 20 | |
| Disentanglement | SmallNORB (test) | DCI64.78 | 17 | |
| Object Classification | NORB (test) | Accuracy93.42 | 8 | |
| Image Reconstruction | NORB (test) | SSIM0.876 | 6 | |
| Circuit Modularity | SmallNORB | Circuit Modularity0.026 | 6 | |
| Image Classification | small NORB (A/C - bright lighting) | Classification Error24.32 | 6 | |
| Image Classification | small NORB (A/B - low lighting) | Error Rate11.09 | 6 | |
| Image Classification | small NORB (A/A - medium lighting) | Classification Error5.36 | 6 | |
| Semi-supervised Image Classification | NORB (test) | Test Error Rate0.094 | 4 | |
| Image Classification | NORB 1000 labels (test) | Error Rate18.79 | 4 | |
| Image Classification | small NORB | Accuracy (A/A)8.32 | 2 | |
| Image Classification | NORB | Error Rate2.7 | 2 | |
| Disentanglement | SmallNORB | DCI Score26.8 | 1 | |
| Semi-supervised Classification | NORB 1000 labels | Error Rate9.96 | 1 |
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