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OxfordPets

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationOxfordPets
Accuracy94.8
160
Image ClassificationOxfordPets
Base Accuracy96.95
137
Base-to-New GeneralizationOxfordPets
Base Score97.34
64
Image ClassificationOxfordPets
Robust Accuracy87.46
57
Image ClassificationOxfordpets
Robust Accuracy60.09
34
Fine-grained Image ClassificationOxfordPets (novel classes)
ECE1.19
28
Fine-grained classificationOxfordPets (base classes)
Accuracy97.65
27
Image ClassificationOxfordPets 4-shot
Accuracy96
22
Fine-grained Image ClassificationOxfordPets (test)
Top-1 Error4
21
Zero-shot ClassificationOxfordPets
Top-1 Clean Acc88.9
17
Fine-grained classificationOxfordPets (novel classes)
MCE0.52
15
Few-shot Image ClassificationOxfordPets (test)
Accuracy (1-shot)92
15
Fine-grained Image ClassificationOxfordPets New classes
Accuracy98.07
12
Fine-grained Image ClassificationOxfordPets Base classes
Accuracy96.1
12
ClassificationOxfordPets
Accuracy89.4
10
Image ClassificationOxfordPets (test)
Pruning Ratio85
10
Image ClassificationOxfordPets Pathological Non-IID (test)
Accuracy0.9882
9
Image ClassificationOxfordPets (val)
Accuracy94.41
8
Image ClassificationOxfordPets novel classes
Accuracy96.12
8
ClassificationOxfordPets
Robust Accuracy50.4
8
Image ClassificationOxfordPets 16-shot
Accuracy90.7
7
Image ClassificationOxfordPets
Accuracy (1-shot)92.53
6
Image ClassificationOxfordpets
Clean Accuracy87.41
6
Few-Shot Class-Incremental Image-to-TextOxfordPets
Accuracy88.1
6
RecognitionOxfordPets (Base & Novel)
Base Accuracy96.3
6
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