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Models/3D-MPA

3D-MPA

Reported on 23 benchmarks across 8 tasks · 1 paper · 21 SOTA

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

Computer Vision15 results

Object DetectiononScanNetV2
mAP@0.25· 2020-03-30
64.2
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
Object DetectiononScanNetV2
mAP@0.5· 2020-03-30
49.2
best: 67.9 (DEST (based on V-DETR) (TTA))
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
Instance SegmentationonS3DIS
mRec· 2020-03-30
64.1
best: 77.1 (ISBNet)
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
Instance SegmentationonScanNet(v2)
mAP· 2020-03-30
35.3
best: 62.2 (Relation3D)
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
Instance SegmentationonScanNet(v2)
mAP @ 50· 2020-03-30
59.1
best: 81.6 (Relation3D)
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
Instance SegmentationonScanNet(v2)
mRec· 2020-03-30
61.1
best: 74.1 (MSTA3D)
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
Instance SegmentationonScanNetV2
mAP@0.50· 2020-03-30
61.1
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
3D Object DetectiononScanNetV2
mAP@0.25· 2020-03-30
64.2
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
3D Object DetectiononScanNetV2
mAP@0.5· 2020-03-30
49.2
best: 67.9 (DEST (based on V-DETR) (TTA))
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
3D Instance SegmentationonS3DIS
mRec· 2020-03-30
64.1
best: 77.1 (ISBNet)
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
3D Instance SegmentationonScanNet(v2)
mAP· 2020-03-30
35.3
best: 62.2 (Relation3D)
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
3D Instance SegmentationonScanNet(v2)
mAP @ 50· 2020-03-30
59.1
best: 81.6 (Relation3D)
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
3D Instance SegmentationonScanNet(v2)
mRec· 2020-03-30
61.1
best: 74.1 (MSTA3D)
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
Instance SegmentationonS3DIS
mPrec· 2020-03-30
66.7
best: 82.3 (OneFormer3D)
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
3D Instance SegmentationonS3DIS
mPrec· 2020-03-30
66.7
best: 82.3 (OneFormer3D)
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867

Methodology8 results

3DonScanNetV2
mAP@0.25· 2020-03-30
64.2
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
3DonScanNetV2
mAP@0.5· 2020-03-30
49.2
best: 67.9 (DEST (based on V-DETR) (TTA))
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
2D ClassificationonScanNetV2
mAP@0.25· 2020-03-30
64.2
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
2D ClassificationonScanNetV2
mAP@0.5· 2020-03-30
49.2
best: 67.9 (DEST (based on V-DETR) (TTA))
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
2D Object DetectiononScanNetV2
mAP@0.25· 2020-03-30
64.2
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
2D Object DetectiononScanNetV2
mAP@0.5· 2020-03-30
49.2
best: 67.9 (DEST (based on V-DETR) (TTA))
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
16konScanNetV2
mAP@0.25· 2020-03-30
64.2
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867
16konScanNetV2
mAP@0.5· 2020-03-30
49.2
best: 67.9 (DEST (based on V-DETR) (TTA))
SOTA
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation arXiv:2003.13867