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Office + Caltech

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationOffice-10 + Caltech-10
Average Accuracy96.7
77
Domain AdaptationOffice+Caltech DeCAF6 features (various pairs)
Accuracy (A to C)87.4
28
Image ClassificationOffice+Caltech C -> D
Accuracy93.63
26
Image ClassificationOffice+Caltech C -> W
Accuracy86.78
26
Image ClassificationOffice+Caltech C -> A
Accuracy92.15
26
Image ClassificationOffice+Caltech W -> D
Accuracy100
26
Image ClassificationOffice+Caltech A -> C
Accuracy85.51
26
Object RecognitionOffice+Caltech D→W
Accuracy99.66
16
Object RecognitionOffice+Caltech D→A
Accuracy92.31
16
Object RecognitionOffice+Caltech D→C
Accuracy86.2
16
Object RecognitionOffice+Caltech W→A
Accuracy91.44
16
Object RecognitionOffice+Caltech W→C
Accuracy84.95
16
Object RecognitionOffice+Caltech A→D
Accuracy88.54
16
Object RecognitionOffice+Caltech A→W
Accuracy84.75
16
Multi-class classificationOffice+Caltech cross-domain scenarios DeCAF6 features
Average Accuracy85.72
12
Image ClassificationOffice+Caltech D -> C
Accuracy32.32
10
Image ClassificationOffice+Caltech D -> W
Accuracy90.85
10
Image ClassificationOffice+Caltech D -> A
Accuracy34.24
10
Image ClassificationOffice+Caltech W -> C
Accuracy30.63
10
Image ClassificationOffice+Caltech W -> A
Accuracy34.34
10
Domain Adaptation ClassificationOffice+Caltech cross-domain tasks average DeCAF6
Average Runtime (s)0.84
6
Object RecognitionOffice+Caltech cross-domain tasks DeCAF6
Runtime (s)6.53
6
ClassificationOffice+Caltech SURF-BOW (average)
Average Accuracy47.42
3
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