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Models/SPGroup3D

SPGroup3D

Reported on 24 benchmarks across 6 tasks · 1 paper

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

Methodology16 results

3DonS3DIS
mAP@0.25· 2023-12-21
69.2
best: 75.2 (UniDet3D)
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
3DonS3DIS
mAP@0.5· 2023-12-21
47.2
best: 60.8 (UniDet3D)
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
3DonScanNetV2
mAP@0.25· 2023-12-21
74.3
best: 78.8 (DEST (based on V-DETR) (TTA))
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
3DonScanNetV2
mAP@0.5· 2023-12-21
59.6
best: 67.9 (DEST (based on V-DETR) (TTA))
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
2D ClassificationonS3DIS
mAP@0.25· 2023-12-21
69.2
best: 75.2 (UniDet3D)
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
2D ClassificationonS3DIS
mAP@0.5· 2023-12-21
47.2
best: 60.8 (UniDet3D)
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
2D ClassificationonScanNetV2
mAP@0.25· 2023-12-21
74.3
best: 78.8 (DEST (based on V-DETR) (TTA))
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
2D ClassificationonScanNetV2
mAP@0.5· 2023-12-21
59.6
best: 67.9 (DEST (based on V-DETR) (TTA))
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
2D Object DetectiononS3DIS
mAP@0.25· 2023-12-21
69.2
best: 75.2 (UniDet3D)
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
2D Object DetectiononS3DIS
mAP@0.5· 2023-12-21
47.2
best: 60.8 (UniDet3D)
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
2D Object DetectiononScanNetV2
mAP@0.25· 2023-12-21
74.3
best: 78.8 (DEST (based on V-DETR) (TTA))
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
2D Object DetectiononScanNetV2
mAP@0.5· 2023-12-21
59.6
best: 67.9 (DEST (based on V-DETR) (TTA))
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
16konS3DIS
mAP@0.25· 2023-12-21
69.2
best: 75.2 (UniDet3D)
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
16konS3DIS
mAP@0.5· 2023-12-21
47.2
best: 60.8 (UniDet3D)
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
16konScanNetV2
mAP@0.25· 2023-12-21
74.3
best: 78.8 (DEST (based on V-DETR) (TTA))
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
16konScanNetV2
mAP@0.5· 2023-12-21
59.6
best: 67.9 (DEST (based on V-DETR) (TTA))
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641

Computer Vision8 results

Object DetectiononS3DIS
mAP@0.25· 2023-12-21
69.2
best: 75.2 (UniDet3D)
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
Object DetectiononS3DIS
mAP@0.5· 2023-12-21
47.2
best: 60.8 (UniDet3D)
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
Object DetectiononScanNetV2
mAP@0.25· 2023-12-21
74.3
best: 78.8 (DEST (based on V-DETR) (TTA))
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
Object DetectiononScanNetV2
mAP@0.5· 2023-12-21
59.6
best: 67.9 (DEST (based on V-DETR) (TTA))
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
3D Object DetectiononS3DIS
mAP@0.25· 2023-12-21
69.2
best: 75.2 (UniDet3D)
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
3D Object DetectiononS3DIS
mAP@0.5· 2023-12-21
47.2
best: 60.8 (UniDet3D)
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
3D Object DetectiononScanNetV2
mAP@0.25· 2023-12-21
74.3
best: 78.8 (DEST (based on V-DETR) (TTA))
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641
3D Object DetectiononScanNetV2
mAP@0.5· 2023-12-21
59.6
best: 67.9 (DEST (based on V-DETR) (TTA))
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection arXiv:2312.13641