CAL + ALIA

Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology2 results

ClassificationonFGVC Aircraft
OOD Accuracy (%)· 2021-08-19
25.1
best: 41.5 (CAL + SaSPA)
SOTA
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification arXiv:2108.08728
ClassificationonFGVC Aircraft
Top-1 Accuracy (%)· 2021-08-19
71.8
best: 73 (CAL + SaSPA)
SOTA
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification arXiv:2108.08728