N-Caltech
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | N-Caltech-101 | Top-1 Acc87.6 | 24 | |
| Event-based camera denoising | N-Caltech101 BA noise 6%, Hot pixel noise 6% | TPR96.3 | 12 | |
| Image Classification | N-Caltech101 t = 6 (test) | Accuracy77.24 | 4 | |
| Recognition | N-Caltech101 | Top-1 Acc78.05 | 4 | |
| Few-Shot Class-Incremental Learning | N-Caltech101 eight 5-way 5-shot incremental tasks | Average Accuracy45.68 | 3 |
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