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VisDA

Benchmarks

Task NameDataset NameSOTA ResultTrend
Domain AdaptationVisDA 2017 (test)
Mean Class Accuracy92.8
98
Object ClassificationVisDA synthetic-to-real 2017
Mean Accuracy90.2
91
Unsupervised Domain AdaptationVisDA unsupervised domain adaptation 2017
Mean Accuracy89.8
87
Image ClassificationVisDA 2017 (test)
Class Accuracy (Plane)99.5
83
Domain AdaptationVisDA 2017 (val)
Mean Accuracy87.2
52
ClassificationVisDA 2017 (val)
Mean Accuracy92.8
45
Image ClassificationVisDA (val)
Plane Accuracy98.9
44
Unsupervised Domain AdaptationVisDA Synthetic to Real 2017
Accuracy87.8
42
Closed-set Source-Free Domain AdaptationVisDA Sy→Re
Accuracy (Sy→Re)91.7
37
Universal Domain AdaptationVisDA
Accuracy70.53
32
Image ClassificationVisDA 17
Aero Accuracy99.6
31
Unsupervised Domain AdaptationVisDA 2017 (test)
Plane Accuracy99.7
27
Domain AdaptationVisDA-C (test)
S→R Score0.893
26
Partial Domain AdaptationVisDA Synthetic-12 -> Real-6 2017
Accuracy76.5
25
Unsupervised Domain AdaptationVisDA (val)
Plane Accuracy99.8
24
Image ClassificationVisDA-C
Accuracy (3D trainset)91.71
22
Object RecognitionVisDA C
Accuracy (Plane)97.8
21
ClassificationVisDA 2017 (test)
Average Score83.7
19
Domain AdaptationVisDA
Overall Accuracy88.1
14
Image ClassificationVisda 2021
Accuracy64.8
14
Open-Partial-Set Domain AdaptationVisDA-C
HOS58.3
14
Domain AdaptationVisDA 1% labeled 2017
Target Accuracy79
14
Domain AdaptationVisDA 2017 (0.1% labeled samples per class)
Target Accuracy78
14
Open-Partial-Set Domain AdaptationVisDA S2R
S2R Accuracy76.8
13
Domain AdaptationVisDA (test)
S→R Accuracy93.3
12
Showing 25 of 63 rows