PatternNet
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | PatternNet | Accuracy99.67 | 48 | |
| Few-shot classification | PatternNet (19-19) | Accuracy0.9836 | 36 | |
| Black-Box LVLM Attack | PatternNet | KMRa88 | 15 | |
| Base-to-new generalization | PatternNet | Base Set Score97.5 | 8 | |
| Single-source domain generalization | PatternNet v2 | Accuracy85.46 | 8 | |
| Cross-dataset Generalization | PatternNet (source) | Accuracy60.13 | 8 | |
| Scene Classification | PatternNet | Accuracy79.76 | 7 | |
| Classification | PatternNet | Top-1 Accuracy12.98 | 5 | |
| Retrieval | PatternNet 25 (test) | Precision68.26 | 3 | |
| Classification | PatternNet (test) | Metric- | 0 |
Showing 10 of 10 rows