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Benchmarks
Multi-label Image Classification on NUS-WIDE
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73.35
Micro F1
Sim-Dissim
68.2228
69.5539
70.885
72.2161
Oct 17, 2024
Micro F1
Macro F1
mAP
Updated 1mo ago
Evaluation Results
Method
Method
Links
Micro F1
Macro F1
mAP
Sim-Dissim
Backbone=ResNet-50
2024.10
73.35
57.49
56.74
MSC
Backbone=ResNet-50
2024.10
72.02
56.13
52.87
MulSupCon
Backbone=ResNet-50
2024.10
71.88
54.36
52.47
Class proto
Backbone=ResNet-50
2024.10
71.79
56.03
52.95
Jaccard
Backbone=ResNet-50
2024.10
71.07
52.84
51.25
ALL
Backbone=ResNet-50
2024.10
70.25
52.84
51.35
ANY
Backbone=ResNet-50
2024.10
68.42
50.65
49.28
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