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Benchmarks
Object Classification on PACS ResNet-50 (test)
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98.36
Accuracy (Photo)
MDGHybrid
96.6336
97.0818
97.53
97.9782
Jun 12, 2020
Accuracy (Photo)
Accuracy (Art Painting)
Accuracy (Cartoon)
Accuracy (Sketch)
Average Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy (Photo)
Accuracy (Art Painting)
Accuracy (Cartoon)
Accuracy (Sketch)
Average Accuracy
MDGHybrid
Backbone=ResNet-50
2020.06
98.36
86.74
82.32
82.66
87.52
MatchDG
Backbone=ResNet-50
2020.06
97.94
85.61
82.12
78.76
86.11
RSC
Backbone=ResNet-50
2020.06
97.92
87.89
82.16
83.35
87.83
RandMatch
Backbone=ResNet-50
2020.06
97.89
82.16
81.68
80.45
85.54
DomainBed
Backbone=ResNet-50
2020.06
97.8
88.1
77.9
79.1
85.7
CORAL
Backbone=ResNet-50
2020.06
97.6
87.7
79.2
79.4
86
IRM
Backbone=ResNet-50
2020.06
96.7
85
77.6
78.5
84.4
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