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Models/SpaCap3d

SpaCap3d

Reported on 8 benchmarks across 1 task · 1 paper

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· 2022-04-22
35.3
best: 45.56 (3D CoCa)
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds arXiv:2204.10688
Image CaptioningonScanRefer Dataset
CIDEr· 2022-04-22
58.06
best: 85.42 (3D CoCa)
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds arXiv:2204.10688
Image CaptioningonScanRefer Dataset
METEOR· 2022-04-22
26.16
best: 30.95 (3D CoCa)
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds arXiv:2204.10688
Image CaptioningonScanRefer Dataset
ROUGE-L· 2022-04-22
55.03
best: 61.98 (3D CoCa)
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds arXiv:2204.10688
Image CaptioningonNr3D
BLEU-4· 2022-04-22
19.92
best: 29.29 (3D CoCa)
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds arXiv:2204.10688
Image CaptioningonNr3D
CIDEr· 2022-04-22
33.71
best: 52.84 (3D CoCa)
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds arXiv:2204.10688
Image CaptioningonNr3D
METEOR· 2022-04-22
22.61
best: 25.6 (BiCA)
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds arXiv:2204.10688
Image CaptioningonNr3D
ROUGE-L· 2022-04-22
50.5
best: 56.43 (3D CoCa)
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds arXiv:2204.10688