Birds
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | Birds | Accuracy95.2 | 75 | |
| Partial Multi-Label Learning | birds | Average Precision63.4 | 48 | |
| Bivariate scaling behavior extrapolation | Birds | RMSLE0.0116 | 35 | |
| Multi-label classification | birds | Macro-AUC80.9 | 32 | |
| Partial Multi-Label Learning | birds | One-error41.1 | 27 | |
| Partial Multi-Label Learning | birds | Hamming Loss0.045 | 27 | |
| Multi-label classification | birds | Macro-F136.11 | 24 | |
| Fine-grained Image Classification | Birds 1.0 (val) | Accuracy88.2 | 24 | |
| Hierarchical Clustering | birds | Runtime (s)79.45 | 19 | |
| Fine-grained Classification | Birds-31 | Accuracy (C to I)81.25 | 19 | |
| Fine-grained classification | Birds-200 | cACC58.8 | 17 | |
| Fine-grained Image Classification | Birds-525 (B) | Accuracy96.72 | 14 | |
| Multi-label classification | Birds | F1 Score42.41 | 12 | |
| Saliency Map Evaluation | Birds 525 | Deliberation0.284 | 12 | |
| Unsupervised Domain Adaptation | Birds-31 (CUB-200-2011, iNaturalist2017, NABirds) | Accuracy (C -> I)72.77 | 12 | |
| Few-Shot Classification | Birds Meta-Dataset (test) | Mean Accuracy82.5 | 10 | |
| Foreground Extraction | Birds (test) | IoU54.6 | 10 | |
| Partial Multi-Label Learning | birds avg.#CLs 5 | Coverage22.9 | 9 | |
| Partial Multi-Label Learning | birds avg.#CLs 4 | Coverage20 | 9 | |
| Partial Multi-Label Learning | birds avg.#CLs 3 | Coverage21.2 | 9 | |
| Hierarchical Agglomerative Clustering | birds | AMI91.7 | 9 | |
| Clustering | birds | ARI0.752 | 9 | |
| Regression | Birds | MSE0.226 | 8 | |
| Novelty Detection | Birds regular ND | AUROC98.5 | 7 | |
| Few-shot classification | Birds Meta-Dataset 1.0 (test) | Accuracy0.6988 | 7 |
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