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VG

Benchmarks

Task NameDataset NameSOTA ResultTrend
Multi-label recognitionVG-200
Avg OF147.9
66
Scene Graph ClassificationVG150 (test)
mR@5028.01
66
Scene Graph DetectionVG150 (test)
ng-mR@5019.8
41
Scene Graph DetectionVG150
R@5033.1
31
Predicate ClassificationVG 50 (test)
Mean Recall@5037
29
Scene Graph DetectionVG 50 (test)
mR@5022
27
Scene Graph ClassificationVG 50 (test)
R@5039.3
25
Multi-label image recognitionVG-200
Average mAP49.4
24
Predicate ClassificationVG-1800 (test)
Accuracy90.07
21
Predicate ClassificationVG150 (test)
ng-mR@5045.8
18
Scene Graph GenerationVG (test)
mR@5017.07
17
Predicate ClassificationVG (test)
mR@10063.02
17
Scene Graph GenerationVG150
mR@5011.7
17
Dense CaptioningVG V1.0
mAP0.424
16
Multi-label image recognition with partial labelsVG-200
mAP @ IoU=0.1040.6
15
Dense CaptioningVG V1.2
mAP42.8
13
Relation PredictionVG8K-LT v1.4 (test)
Accuracy (many)37.3
13
Relation PredictionVG200
R@5069.7
13
Multi-label RecognitionVG-200 (test)
Avg. OF145.1
13
Scene Graph DetectionVG
R@5030.26
12
Predicate ClassificationVG
Recall@5065.46
12
Scene Graph ClassificationVG150
mR@5026.8
12
Multi-label Image ClassificationVG500
mAP40.5
11
Scene Graph ClassificationVG
R@5044.15
10
WWbLVG (test)
Point Accuracy62.31
10
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