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Models/TD3D

TD3D

Reported on 14 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Computer Vision14 results

  • Instance SegmentationonScanNet(v2)
    mAP@25· 2023-02-06
    87.5
    best: 90.1 (Relation3D)
    SOTA
    Top-Down Beats Bottom-Up in 3D Instance SegmentationarXiv:2302.02871
  • 3D Instance SegmentationonScanNet(v2)
    mAP@25· 2023-02-06
    87.5
    best: 90.1 (Relation3D)
    SOTA
    Top-Down Beats Bottom-Up in 3D Instance SegmentationarXiv:2302.02871
  • Instance SegmentationonS3DIS
    AP@50· uses extra data· 2023-02-06
    70.4
    best: 75.8 (OneFormer3D)
    Top-Down Beats Bottom-Up in 3D Instance SegmentationarXiv:2302.02871
  • Instance SegmentationonS3DIS
    mAP· uses extra data· 2023-02-06
    58.1
    best: 64.5 (Mask3D)
    Top-Down Beats Bottom-Up in 3D Instance SegmentationarXiv:2302.02871
  • Instance SegmentationonScanNet(v2)
    mAP· 2023-02-06
    48.9
    best: 62.2 (Relation3D)
    Top-Down Beats Bottom-Up in 3D Instance SegmentationarXiv:2302.02871
  • Instance SegmentationonScanNet(v2)
    mAP @ 50· 2023-02-06
    75.1
    best: 81.6 (Relation3D)
    Top-Down Beats Bottom-Up in 3D Instance SegmentationarXiv:2302.02871
  • Instance SegmentationonSTPLS3D
    AP· 2023-02-06
    54.3
    best: 64.5 (EASE)
    Top-Down Beats Bottom-Up in 3D Instance SegmentationarXiv:2302.02871
  • Instance SegmentationonSTPLS3D
    AP50· 2023-02-06
    69.8
    best: 80.8 (EASE)
    Top-Down Beats Bottom-Up in 3D Instance SegmentationarXiv:2302.02871
  • 3D Instance SegmentationonS3DIS
    AP@50· uses extra data· 2023-02-06
    70.4
    best: 75.8 (OneFormer3D)
    Top-Down Beats Bottom-Up in 3D Instance SegmentationarXiv:2302.02871
  • 3D Instance SegmentationonS3DIS
    mAP· uses extra data· 2023-02-06
    58.1
    best: 64.5 (Mask3D)
    Top-Down Beats Bottom-Up in 3D Instance SegmentationarXiv:2302.02871
  • 3D Instance SegmentationonScanNet(v2)
    mAP· 2023-02-06
    48.9
    best: 62.2 (Relation3D)
    Top-Down Beats Bottom-Up in 3D Instance SegmentationarXiv:2302.02871
  • 3D Instance SegmentationonScanNet(v2)
    mAP @ 50· 2023-02-06
    75.1
    best: 81.6 (Relation3D)
    Top-Down Beats Bottom-Up in 3D Instance SegmentationarXiv:2302.02871
  • 3D Instance SegmentationonSTPLS3D
    AP· 2023-02-06
    54.3
    best: 64.5 (EASE)
    Top-Down Beats Bottom-Up in 3D Instance SegmentationarXiv:2302.02871
  • 3D Instance SegmentationonSTPLS3D
    AP50· 2023-02-06
    69.8
    best: 80.8 (EASE)
    Top-Down Beats Bottom-Up in 3D Instance SegmentationarXiv:2302.02871