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Models/ADTrans

ADTrans

Reported on 21 benchmarks across 3 tasks · 1 paper · 8 SOTA

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

Computer Vision14 results

Scene ParsingonVisual Genome
mean Recall @100· 2023-07-28
19.2
SOTA
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
Scene ParsingonVisual Genome
mean Recall @20· 2023-07-28
12.3
SOTA
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
Scene Graph GenerationonVisual Genome
mR@100· 2023-07-28
19.2
SOTA
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
Scene Graph GenerationonVisual Genome
mR@50· 2023-07-28
15.8
SOTA
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
Scene Graph GenerationonVisual Genome
mean Recall @100· 2023-07-28
19.2
SOTA
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
Scene Graph GenerationonVisual Genome
mean Recall @20· 2023-07-28
12.3
SOTA
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
Scene ParsingonVisual Genome
Recall@50· 2023-07-28
23
best: 32.9 (SpeaQ (without reweighting))
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
Scene ParsingonVisual Genome
mR@100· 2023-07-28
19.2
best: 23.5 (PEVL)
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
Scene ParsingonVisual Genome
mR@50· 2023-07-28
15.8
best: 21.7 (PEVL)
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
Scene ParsingonPSG Dataset
R@20· 2023-07-28
26
best: 40.6 (HiLo(SwinL))
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
Scene ParsingonPSG Dataset
mR@20· 2023-07-28
26.4
best: 34.7 (VLPrompt (R50))
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
Scene Graph GenerationonVisual Genome
Recall@50· 2023-07-28
23
best: 32.9 (SpeaQ (without reweighting))
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
Scene Graph GenerationonPSG Dataset
R@20· 2023-07-28
26
best: 40.6 (HiLo(SwinL))
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
Scene Graph GenerationonPSG Dataset
mR@20· 2023-07-28
26.4
best: 34.7 (VLPrompt (R50))
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567

Audio7 results

2D Semantic SegmentationonVisual Genome
mean Recall @100· 2023-07-28
19.2
SOTA
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
2D Semantic SegmentationonVisual Genome
mean Recall @20· 2023-07-28
12.3
SOTA
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
2D Semantic SegmentationonVisual Genome
Recall@50· 2023-07-28
23
best: 32.9 (SpeaQ (without reweighting))
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
2D Semantic SegmentationonVisual Genome
mR@100· 2023-07-28
19.2
best: 23.5 (PEVL)
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
2D Semantic SegmentationonVisual Genome
mR@50· 2023-07-28
15.8
best: 21.7 (PEVL)
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
2D Semantic SegmentationonPSG Dataset
R@20· 2023-07-28
26
best: 40.6 (HiLo(SwinL))
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567
2D Semantic SegmentationonPSG Dataset
mR@20· 2023-07-28
26.4
best: 34.7 (VLPrompt (R50))
Panoptic Scene Graph Generation with Semantics-Prototype Learning arXiv:2307.15567