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Models/Vote2Cap-DETR

Vote2Cap-DETR

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

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

Natural Language Processing8 results

Image CaptioningonScanRefer Dataset
BLEU-4· 2023-01-06
39.34
best: 45.56 (3D CoCa)
SOTA
End-to-End 3D Dense Captioning with Vote2Cap-DETR arXiv:2301.02508
Image CaptioningonScanRefer Dataset
CIDEr· 2023-01-06
71.45
best: 85.42 (3D CoCa)
SOTA
End-to-End 3D Dense Captioning with Vote2Cap-DETR arXiv:2301.02508
Image CaptioningonScanRefer Dataset
METEOR· 2023-01-06
28.25
best: 30.95 (3D CoCa)
SOTA
End-to-End 3D Dense Captioning with Vote2Cap-DETR arXiv:2301.02508
Image CaptioningonScanRefer Dataset
ROUGE-L· 2023-01-06
59.33
best: 61.98 (3D CoCa)
SOTA
End-to-End 3D Dense Captioning with Vote2Cap-DETR arXiv:2301.02508
Image CaptioningonNr3D
BLEU-4· 2023-01-06
26.68
best: 29.29 (3D CoCa)
SOTA
End-to-End 3D Dense Captioning with Vote2Cap-DETR arXiv:2301.02508
Image CaptioningonNr3D
CIDEr· 2023-01-06
43.84
best: 52.84 (3D CoCa)
SOTA
End-to-End 3D Dense Captioning with Vote2Cap-DETR arXiv:2301.02508
Image CaptioningonNr3D
METEOR· 2023-01-06
25.41
best: 25.6 (BiCA)
SOTA
End-to-End 3D Dense Captioning with Vote2Cap-DETR arXiv:2301.02508
Image CaptioningonNr3D
ROUGE-L· 2023-01-06
54.43
best: 56.43 (3D CoCa)
SOTA
End-to-End 3D Dense Captioning with Vote2Cap-DETR arXiv:2301.02508