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FGVCAircraft

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationFGVCAircraft
Accuracy94.16
225
Base-to-New GeneralizationFGVCAircraft
Base Performance51.58
64
Fine-Grained Visual CategorizationFGVCAircraft
Accuracy95.6
60
Fine-grained Image ClassificationFGVCAircraft (novel classes)
ECE3.79
36
ClassificationFGVCAircraft
Robust Accuracy32.5
30
Fine-grained classificationFGVCAircraft (base classes)
Accuracy42
27
Fine-grained classificationFGVCAircraft Base-to-New
Base Accuracy42.68
23
Image ClassificationFGVCAircraft H (harmonic mean)
Acc42.78
16
Fine-grained classificationFGVCAircraft (novel classes)
MCE0.88
15
Zero-shot ClassificationFGVCAircraft
Top-1 Clean Acc23.8
10
Exemplar-Free Class-Incremental LearningFGVCAircraft T=20 tasks (test)
Last Accuracy34.8
9
Exemplar-Free Class-Incremental LearningFGVCAircraft T=10 tasks (test)
Last Accuracy (Alast)47.5
9
Exemplar-Free Class-Incremental LearningFGVCAircraft T=5 tasks (test)
Last Accuracy53.3
9
Image ClassificationFGVCAircraft
Accuracy (1 Shot)33.75
6
Few-Shot Class-Incremental Image-to-TextFGVCAircraft
Accuracy18.98
6
Unseen prompt generalizationFGVCAircraft
Accuracy36.29
6
Image RecognitionFGVCAircraft
Natural Accuracy19.2
5
Image ClassificationFGVCAircraft (unseen)
Accuracy36.29
4
Image ClassificationFGVCAircraft (seen)
Accuracy40.44
4
Image ClassificationFGVCAircraft (10% labels)
Top-1 Acc57.1
3
Image ClassificationFGVCAircraft (val)
Accuracy-
0
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