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NUS-WIDE

Benchmarks

Task NameDataset NameSOTA ResultTrend
Multi-Label ClassificationNUS-WIDE (test)
mAP70.4
112
Image RetrievalNUS-WIDE (test)
MAP87.91
98
Targeted Hashing AttackNUS-WIDE
t-MAP81.67
88
Multi-label ClassificationNUS-WIDE 925/81 (unseen)
mAP (Mean Average Precision)53.2
43
Multi-label classificationNUS-WIDE
mAP47.8
38
Image RetrievalNUS-WIDE
P@100083.91
36
Multi-label Image ClassificationNUS-WIDE 81 concept labels (test)
F1 (Class)58.7
29
Multi-label ClassificationNUS-WIDE
mAP70.1
21
Multi-label classificationNUS-WIDE 81 unseen labels (test)
mAP0.603
17
Image TaggingNUS-WIDE 81 unseen tags
mAP42.2
16
Multi-class image classificationNUS-WIDE geo-tagged (test)
mAP36.2
16
Multi-label Image ClassificationNUS-WIDE
CF1 (Top 3)57.8
15
Multi-label ClassificationNUS-WIDE
Precision @ K=330.9
14
Multi-view ClusteringNUS-WIDE
Accuracy64.84
14
Multi-view ClusteringNUS-WIDE 100% aligned
Accuracy67.25
14
Image TaggingNUS-WIDE 925 seen + 81 unseen tags (test)
MiAP19.1
14
Text-to-Image RetrievalNUS-WIDE
R@139.8
12
Image-to-Text RetrievalNUS-WIDE
R@142.9
12
Image RetrievalNUS-WIDE 21 most frequent concepts (test)
mAP (12 bits)68.7
11
Multi-label RecognitionNUS-WIDE seen & unseen
F1 Score @ 323.5
10
ClusteringNUS-WIDE-OBJ (test)
Accuracy63.95
10
Multi-Label RecognitionNUS-WIDE Single Positive Label
mAP62
10
Multi-Label ClassificationNUS-WIDE 81 labels
Precision @ K=353.5
9
ClusteringNUSWIDEOBJ10 (r=0.7)
ACC23.88
8
Image TaggingNUS-WIDE 81-tag (test)
MiAP55
7
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