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Stanford Cars

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationStanford Cars
Accuracy99.5
477
Fine-grained Image ClassificationStanford Cars (test)
Accuracy97.3
348
Image ClassificationStanford Cars (test)
Accuracy96.13
306
Fine-grained Image ClassificationStanford Cars
Accuracy95.7
206
Generalized Category DiscoveryStanford Cars
Accuracy (All)91.1
128
Fine-grained Visual CategorizationStanford Cars (test)
Accuracy96.3
110
Selective PredictionStanford Cars
Selective Prediction Error5.35
60
Image ClassificationStanford Cars (val)
Accuracy94.5
56
Class-Incremental LearningStanford Cars (test)
Accuracy (Last)54.86
38
Fine-grained object category discoveryStanford Cars (test)
Accuracy78
38
Fine-grained classificationStanford Cars
Accuracy95
31
Image ClassificationStanford Cars
Top-1 Error Rate3.8
26
Clustering (Color)Stanford Cars
NMI81.38
24
Class-Incremental LearningStanford Cars CIL, T=10 (test)
Avg Accuracy77.5
23
Image RetrievalStanford Cars 196 (test)
Recall@191.5
16
Clustering (Type)Stanford Cars
NMI0.6616
16
Generalized Category DiscoveryStanford Cars (test)
Accuracy (All Classes)60.1
15
Image ReconstructionStanford Cars (test)
PSNR > 35 dB Success Rate100
15
Novelty DetectionStanford-Cars
AUROC0.908
15
Category DiscoveryStanford Cars New classes
Accuracy68.9
15
Category DiscoveryStanford Cars Old classes
Accuracy91
15
Category DiscoveryStanford Cars All classes
Accuracy76.1
15
Image ClassificationStanford Cars (Novel)
Top-1 Acc75.71
14
Image ClassificationStanford Cars 5-way 5-shot (test)
Accuracy66.67
13
Image ClassificationStanford Cars 5-way 2-shot
Accuracy46.32
13
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