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Models/MSDN

MSDN

Reported on 8 benchmarks across 8 tasks · 1 paper · 8 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology4 results

3DonVisual Genome
MAP· 2017-07-31
7.43
best: 44 (KnowZRel)
SOTA
Scene Graph Generation from Objects, Phrases and Region Captions arXiv:1707.09700
2D ClassificationonVisual Genome
MAP· 2017-07-31
7.43
best: 44 (KnowZRel)
SOTA
Scene Graph Generation from Objects, Phrases and Region Captions arXiv:1707.09700
2D Object DetectiononVisual Genome
MAP· 2017-07-31
7.43
best: 44 (KnowZRel)
SOTA
Scene Graph Generation from Objects, Phrases and Region Captions arXiv:1707.09700
16konVisual Genome
MAP· 2017-07-31
7.43
best: 44 (KnowZRel)
SOTA
Scene Graph Generation from Objects, Phrases and Region Captions arXiv:1707.09700

Computer Vision3 results

Scene ParsingonVisual Genome
Recall@50· 2017-07-31
10.72
best: 32.9 (SpeaQ (without reweighting))
SOTA
Scene Graph Generation from Objects, Phrases and Region Captions arXiv:1707.09700
Object DetectiononVisual Genome
MAP· 2017-07-31
7.43
best: 44 (KnowZRel)
SOTA
Scene Graph Generation from Objects, Phrases and Region Captions arXiv:1707.09700
Scene Graph GenerationonVisual Genome
Recall@50· 2017-07-31
10.72
best: 32.9 (SpeaQ (without reweighting))
SOTA
Scene Graph Generation from Objects, Phrases and Region Captions arXiv:1707.09700

Audio1 result

2D Semantic SegmentationonVisual Genome
Recall@50· 2017-07-31
10.72
best: 32.9 (SpeaQ (without reweighting))
SOTA
Scene Graph Generation from Objects, Phrases and Region Captions arXiv:1707.09700