VisDA

Benchmarks

Task Name	Dataset Name	SOTA Result
Object Classification	VisDA synthetic-to-real 2017	Mean Accuracy90.2	108
Unsupervised Domain Adaptation	VisDA unsupervised domain adaptation 2017	Mean Accuracy91.7	98
Domain Adaptation	VisDA 2017 (test)	Mean Class Accuracy92.8	98
Image Classification	VisDA 2017 (test)	Class Accuracy (Plane)99.5	83
Domain Adaptation	VisDA 2017 (val)	Mean Accuracy87.2	52
Image Classification	VisDA 17	Aero Accuracy99.6	47
Classification	VisDA 2017 (val)	Mean Accuracy92.8	45
Image Classification	VisDA (val)	Plane Accuracy98.9	44
Unsupervised Domain Adaptation	VisDA Synthetic to Real 2017	Accuracy87.8	42
Closed-set Source-Free Domain Adaptation	VisDA Sy→Re	Accuracy (Sy→Re)91.7	37
Universal Domain Adaptation	VisDA	Accuracy70.53	32
Image Classification	VisDA-C	Mean Accuracy92.1	31
Unsupervised Domain Adaptation	VisDA 2017 (test)	Plane Accuracy99.7	27
Domain Adaptation	VisDA-C (test)	S→R Score0.893	26
Partial Domain Adaptation	VisDA Synthetic-12 -> Real-6 2017	Accuracy76.5	25
Unsupervised Domain Adaptation	VisDA (val)	Plane Accuracy99.8	24
Object Recognition	VisDA C	Accuracy (Plane)97.8	21
Classification	VisDA 2017 (test)	Average Score83.7	19
Source-Free Domain Adaptation	VisDA	Accuracy88.6	18
Domain Adaptation	VisDA	Overall Accuracy88.1	14
Image Classification	Visda 2021	Accuracy64.8	14
Open-Partial-Set Domain Adaptation	VisDA-C	HOS58.3	14
Domain Adaptation	VisDA 1% labeled 2017	Target Accuracy79	14
Domain Adaptation	VisDA 2017 (0.1% labeled samples per class)	Target Accuracy78	14
Open-Partial-Set Domain Adaptation	VisDA S2R	S2R Accuracy76.8	13

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