VLCS

Benchmarks

Task Name	Dataset Name	SOTA Result
Domain Generalization	VLCS	Accuracy95.74	270
Multi-class classification	VLCS	Acc (Caltech)99.51	139
Image Classification	VLCS	Accuracy86.98	76
Image classification	VLCS (test)	Average Accuracy81.59	65
Domain Generalization	VLCS (test)	Average Accuracy83.7	62
Image Classification	VLCS (leave-one-domain-out)	Average Accuracy81.14	42
Object Recognition	VLCS	Average Accuracy73.5	31
Out-of-Distribution Detection	VLCS Open-Set (DTD, Food101, Caltech101)	AUC (DTD)88.9	28
Domain Generalization	VLCS	Accuracy (L)66.98	27
Domain Generalization	VLCS DomainBed (test)	Average OOD Accuracy78.4	27
Image Classification	VLCS TotalHeavyTail setting (test)	Average Accuracy75.6	24
Image Classification	VLCS GINIDG setting (test)	Average Accuracy78	24
Image Classification	VLCS	Average Accuracy61.6	24
Domain Generalization	VLCS (leave-one-domain-out)	Avg Acc82.9	22
Image Classification	VLCS DomainBed suite (test)	Accuracy82.4	20
Open Domain Generalization	VLCS	Accuracy0.9571	19
OOD Generalization	VLCS	OOD Accuracy80.2	18
Domain Generalization	VLCS	Accuracy (C)99.5	17
Noisy Attribute Generalization	VLCS ID/OOD	ID Accuracy91.4	15
Classification	VLCS	Average Accuracy66.38	15
Domain Generalization	VLCS (combined)	ID Accuracy95.4	14
Image Classification	VLCS	Accuracy (Metric 1)84.2	13
Federated Unlearning	VLCS	Forget Accuracy69.78	11
Low-Shot Open-Set Domain Generalization	VLCS 5-shot	Accuracy79.04	11
Low-Shot Open-Set Domain Generalization	VLCS 1-shot	Acc78.89	11

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