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VLCS

Benchmarks

Task NameDataset NameSOTA ResultTrend
Domain GeneralizationVLCS
Accuracy95.74
238
Multi-class classificationVLCS
Acc (Caltech)99.51
139
Image ClassificationVLCS
Accuracy86.98
76
Image classificationVLCS (test)
Average Accuracy81.59
65
Domain GeneralizationVLCS (test)
Average Accuracy83.7
62
Image ClassificationVLCS (leave-one-domain-out)
Average Accuracy81.14
42
Object RecognitionVLCS
Average Accuracy73.5
31
Domain GeneralizationVLCS
Accuracy (L)66.98
27
Domain GeneralizationVLCS DomainBed (test)
Average OOD Accuracy78.4
27
Image ClassificationVLCS TotalHeavyTail setting (test)
Average Accuracy75.6
24
Image ClassificationVLCS GINIDG setting (test)
Average Accuracy78
24
Image ClassificationVLCS
Average Accuracy61.6
24
Domain GeneralizationVLCS (leave-one-domain-out)
Avg Acc82.9
22
Image ClassificationVLCS DomainBed suite (test)
Accuracy82.4
20
Open Domain GeneralizationVLCS
Accuracy0.9571
19
Noisy Attribute GeneralizationVLCS ID/OOD
ID Accuracy91.4
15
ClassificationVLCS
Average Accuracy66.38
15
Domain GeneralizationVLCS (combined)
ID Accuracy95.4
14
Image ClassificationVLCS
Accuracy (Metric 1)84.2
13
Low-Shot Open-Set Domain GeneralizationVLCS 5-shot
Accuracy79.04
11
Low-Shot Open-Set Domain GeneralizationVLCS 1-shot
Acc78.89
11
Object recognitionVLCS DeCAF6 features (leave-one-domain-out)
Accuracy (V Domain)70.62
10
Federated Domain-Incremental LearningVLCS
ACC54.92
7
Domain GeneralizationVLCS Target domains
Accuracy (L)67
6
Image ClassificationVLCS OOD accuracy
Accuracy (C)99.5
6
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