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Models/3D-SIS

3D-SIS

Reported on 15 benchmarks across 8 tasks · 1 paper · 15 SOTA

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

Methodology8 results

  • 3DonScanNetV2
    mAP@0.25· 2018-12-17
    40.2
    best: 78.8 (DEST (based on V-DETR) (TTA))
    SOTA
    3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansarXiv:1812.07003
  • 3DonScanNetV2
    mAP@0.5· 2018-12-17
    22.5
    best: 67.9 (DEST (based on V-DETR) (TTA))
    SOTA
    3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansarXiv:1812.07003
  • 2D ClassificationonScanNetV2
    mAP@0.25· 2018-12-17
    40.2
    best: 78.8 (DEST (based on V-DETR) (TTA))
    SOTA
    3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansarXiv:1812.07003
  • 2D ClassificationonScanNetV2
    mAP@0.5· 2018-12-17
    22.5
    best: 67.9 (DEST (based on V-DETR) (TTA))
    SOTA
    3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansarXiv:1812.07003
  • 2D Object DetectiononScanNetV2
    mAP@0.25· 2018-12-17
    40.2
    best: 78.8 (DEST (based on V-DETR) (TTA))
    SOTA
    3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansarXiv:1812.07003
  • 2D Object DetectiononScanNetV2
    mAP@0.5· 2018-12-17
    22.5
    best: 67.9 (DEST (based on V-DETR) (TTA))
    SOTA
    3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansarXiv:1812.07003
  • 16konScanNetV2
    mAP@0.25· 2018-12-17
    40.2
    best: 78.8 (DEST (based on V-DETR) (TTA))
    SOTA
    3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansarXiv:1812.07003
  • 16konScanNetV2
    mAP@0.5· 2018-12-17
    22.5
    best: 67.9 (DEST (based on V-DETR) (TTA))
    SOTA
    3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansarXiv:1812.07003

Computer Vision7 results

  • Object DetectiononScanNetV2
    mAP@0.25· 2018-12-17
    40.2
    best: 78.8 (DEST (based on V-DETR) (TTA))
    SOTA
    3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansarXiv:1812.07003
  • Object DetectiononScanNetV2
    mAP@0.5· 2018-12-17
    22.5
    best: 67.9 (DEST (based on V-DETR) (TTA))
    SOTA
    3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansarXiv:1812.07003
  • Instance SegmentationonScanNet(v2)
    mAP @ 50· 2018-12-17
    38.2
    best: 81.6 (Relation3D)
    SOTA
    3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansarXiv:1812.07003
  • Instance SegmentationonScanNetV2
    mAP@0.50· 2018-12-17
    38.2
    best: 61.1 (3D-MPA)
    SOTA
    3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansarXiv:1812.07003
  • 3D Object DetectiononScanNetV2
    mAP@0.25· 2018-12-17
    40.2
    best: 78.8 (DEST (based on V-DETR) (TTA))
    SOTA
    3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansarXiv:1812.07003
  • 3D Object DetectiononScanNetV2
    mAP@0.5· 2018-12-17
    22.5
    best: 67.9 (DEST (based on V-DETR) (TTA))
    SOTA
    3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansarXiv:1812.07003
  • 3D Instance SegmentationonScanNet(v2)
    mAP @ 50· 2018-12-17
    38.2
    best: 81.6 (Relation3D)
    SOTA
    3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansarXiv:1812.07003