ImageNet-A
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Class-Incremental Learning | ImageNet-A (B0 Inc20) | Last Accuracy74.05 | 22 | |
| Image Classification | ImageNet-A 1.0 (test) | Top-1 Accuracy63.01 | 22 | |
| Few-shot classification | ImageNet-A (target) | Accuracy51.62 | 14 | |
| Classification | ImageNet-A OOD | Top-1 Accuracy52.2 | 8 | |
| Image Classification | ImageNet-A standard (test) | Accuracy0.282 | 6 | |
| Image Classification | ImageNet-A v1 (test) | Accuracy73.9 | 5 | |
| Image Classification | ImageNet-A (novel classes) | Accuracy68.6 | 4 | |
| Image Classification | ImageNet-A base classes | Accuracy68.61 | 4 | |
| Class-Incremental Learning | ImageNet-A 20% samples (test) | A Accuracy57.85 | 2 | |
| Class-Incremental Learning | ImageNet-A 10% samples (test) | Accuracy52.9 | 2 |
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