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StanfordCars

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationStanfordCars
Accuracy92.74
384
Image ClassificationStanfordCars
Robust Accuracy70.8
100
Base-to-New GeneralizationStanfordCars
Base Score83.93
69
Image ClassificationStanfordCars base-to-new
Base Accuracy0.8551
42
Few-shot Image ClassificationStanfordCars
Accuracy0.7996
33
Few-shot Image ClassificationStanfordCars (test)
Accuracy (1-shot)81.29
29
Fine-grained Image ClassificationStanfordCars (novel classes)
ECE1.88
28
Fine-grained Image ClassificationStanfordCars base classes
Accuracy78.65
27
RetrievalStanfordCars
mAP7.86
25
Zero-shot ClassificationStanfordCars
Top-1 Clean Acc70.7
21
Image ClassificationStanfordCars (test)
Base Accuracy85.9
20
Image ClassificationStanfordCars standard (test)
BF Accuracy68.4
18
Image ClassificationStanfordCars novel classes
Accuracy75.61
18
Image ClassificationStanfordCars MDCII Order-II
Transfer Accuracy89.6
15
Fine-grained classificationStanfordCars (novel classes)
MCE0.55
15
Fine-grained Image ClassificationStanfordCars Harmonic Mean
Accuracy78.14
12
Fine-grained Image ClassificationStanfordCars New classes
Accuracy0.751
12
Zero-shot Class UnlearningStanfordCars (retain set)
BF81.45
12
Zero-shot Class UnlearningStanfordCars (forget set)
Bias Factor82.23
12
ClassificationStanfordCars
Robust Accuracy33.01
12
Base-to-novel generalizationStanfordCars (test)
Base Accuracy81.33
12
Image ClassificationStanfordCars (novel)
Accuracy75.47
11
Image ClassificationStanfordCars HM (full)
HM78.92
10
Image ClassificationStanfordCars x8 (test)
Top-1 Accuracy0.864
10
Image ClassificationStanfordCars x4 (test)
Top-1 Accuracy86.4
10
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