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Models/RepSurf-U

RepSurf-U

Reported on 44 benchmarks across 11 tasks · 1 paper · 5 SOTA

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

Methodology16 results

3DonSUN-RGBD val
mAP@0.25· 2022-05-11
64.9
best: 69.7 (Point-GCC+TR3D+FF)
Surface Representation for Point Clouds arXiv:2205.05740
3DonSUN-RGBD val
mAP@0.5· 2022-05-11
47.7
best: 54 (Point-GCC+TR3D+FF)
Surface Representation for Point Clouds arXiv:2205.05740
3DonScanNetV2
mAP@0.25· 2022-05-11
71.2
best: 78.8 (DEST (based on V-DETR) (TTA))
Surface Representation for Point Clouds arXiv:2205.05740
3DonScanNetV2
mAP@0.5· 2022-05-11
54.8
best: 67.9 (DEST (based on V-DETR) (TTA))
Surface Representation for Point Clouds arXiv:2205.05740
2D ClassificationonSUN-RGBD val
mAP@0.25· 2022-05-11
64.9
best: 69.7 (Point-GCC+TR3D+FF)
Surface Representation for Point Clouds arXiv:2205.05740
2D ClassificationonSUN-RGBD val
mAP@0.5· 2022-05-11
47.7
best: 54 (Point-GCC+TR3D+FF)
Surface Representation for Point Clouds arXiv:2205.05740
2D ClassificationonScanNetV2
mAP@0.25· 2022-05-11
71.2
best: 78.8 (DEST (based on V-DETR) (TTA))
Surface Representation for Point Clouds arXiv:2205.05740
2D ClassificationonScanNetV2
mAP@0.5· 2022-05-11
54.8
best: 67.9 (DEST (based on V-DETR) (TTA))
Surface Representation for Point Clouds arXiv:2205.05740
2D Object DetectiononSUN-RGBD val
mAP@0.25· 2022-05-11
64.9
best: 69.7 (Point-GCC+TR3D+FF)
Surface Representation for Point Clouds arXiv:2205.05740
2D Object DetectiononSUN-RGBD val
mAP@0.5· 2022-05-11
47.7
best: 54 (Point-GCC+TR3D+FF)
Surface Representation for Point Clouds arXiv:2205.05740
2D Object DetectiononScanNetV2
mAP@0.25· 2022-05-11
71.2
best: 78.8 (DEST (based on V-DETR) (TTA))
Surface Representation for Point Clouds arXiv:2205.05740
2D Object DetectiononScanNetV2
mAP@0.5· 2022-05-11
54.8
best: 67.9 (DEST (based on V-DETR) (TTA))
Surface Representation for Point Clouds arXiv:2205.05740
16konSUN-RGBD val
mAP@0.25· 2022-05-11
64.9
best: 69.7 (Point-GCC+TR3D+FF)
Surface Representation for Point Clouds arXiv:2205.05740
16konSUN-RGBD val
mAP@0.5· 2022-05-11
47.7
best: 54 (Point-GCC+TR3D+FF)
Surface Representation for Point Clouds arXiv:2205.05740
16konScanNetV2
mAP@0.25· 2022-05-11
71.2
best: 78.8 (DEST (based on V-DETR) (TTA))
Surface Representation for Point Clouds arXiv:2205.05740
16konScanNetV2
mAP@0.5· 2022-05-11
54.8
best: 67.9 (DEST (based on V-DETR) (TTA))
Surface Representation for Point Clouds arXiv:2205.05740

Computer Vision14 results

Shape Representation Of 3D Point CloudsonModelNet40
Overall Accuracy· 2022-05-11
94.7
best: 95.3 (PointGST)
SOTA
Surface Representation for Point Clouds arXiv:2205.05740
3D Point Cloud ClassificationonModelNet40
Overall Accuracy· 2022-05-11
94.7
best: 95.3 (PointGST)
SOTA
Surface Representation for Point Clouds arXiv:2205.05740
3D Point Cloud ReconstructiononModelNet40
Overall Accuracy· 2022-05-11
94.7
best: 95.3 (PointGST)
SOTA
Surface Representation for Point Clouds arXiv:2205.05740
Object DetectiononSUN-RGBD val
mAP@0.25· 2022-05-11
64.9
best: 69.7 (Point-GCC+TR3D+FF)
Surface Representation for Point Clouds arXiv:2205.05740
Object DetectiononSUN-RGBD val
mAP@0.5· 2022-05-11
47.7
best: 54 (Point-GCC+TR3D+FF)
Surface Representation for Point Clouds arXiv:2205.05740
Object DetectiononScanNetV2
mAP@0.25· 2022-05-11
71.2
best: 78.8 (DEST (based on V-DETR) (TTA))
Surface Representation for Point Clouds arXiv:2205.05740
Object DetectiononScanNetV2
mAP@0.5· 2022-05-11
54.8
best: 67.9 (DEST (based on V-DETR) (TTA))
Surface Representation for Point Clouds arXiv:2205.05740
Shape Representation Of 3D Point CloudsonScanObjectNN
Overall Accuracy· 2022-05-11
84.6
best: 97.2 (OmniVec2)
Surface Representation for Point Clouds arXiv:2205.05740
3D Object DetectiononSUN-RGBD val
mAP@0.25· 2022-05-11
64.9
best: 69.7 (Point-GCC+TR3D+FF)
Surface Representation for Point Clouds arXiv:2205.05740
3D Object DetectiononSUN-RGBD val
mAP@0.5· 2022-05-11
47.7
best: 54 (Point-GCC+TR3D+FF)
Surface Representation for Point Clouds arXiv:2205.05740
3D Object DetectiononScanNetV2
mAP@0.25· 2022-05-11
71.2
best: 78.8 (DEST (based on V-DETR) (TTA))
Surface Representation for Point Clouds arXiv:2205.05740
3D Object DetectiononScanNetV2
mAP@0.5· 2022-05-11
54.8
best: 67.9 (DEST (based on V-DETR) (TTA))
Surface Representation for Point Clouds arXiv:2205.05740
3D Point Cloud ClassificationonScanObjectNN
Overall Accuracy· 2022-05-11
84.6
best: 97.2 (OmniVec2)
Surface Representation for Point Clouds arXiv:2205.05740
3D Point Cloud ReconstructiononScanObjectNN
Overall Accuracy· 2022-05-11
84.6
best: 97.2 (OmniVec2)
Surface Representation for Point Clouds arXiv:2205.05740

Medical7 results

Semantic SegmentationonS3DIS
oAcc· 2022-05-11
90.8
best: 93.3 (Sonata + PTv3)
SOTA
Surface Representation for Point Clouds arXiv:2205.05740
Semantic SegmentationonS3DIS Area5
mAcc· 2022-05-11
76
best: 81.6 (Sonata + PTv3)
Surface Representation for Point Clouds arXiv:2205.05740
Semantic SegmentationonS3DIS Area5
mIoU· 2022-05-11
68.9
best: 76 (Sonata + PTv3)
Surface Representation for Point Clouds arXiv:2205.05740
Semantic SegmentationonS3DIS Area5
oAcc· 2022-05-11
90.2
best: 93 (Sonata + PTv3)
Surface Representation for Point Clouds arXiv:2205.05740
Semantic SegmentationonS3DIS
Mean IoU· 2022-05-11
74.3
best: 82.3 (Sonata + PTv3)
Surface Representation for Point Clouds arXiv:2205.05740
Semantic SegmentationonS3DIS
Params (M)· 2022-05-11
0.97
best: 41.6 (PointNeXt-XL)
Surface Representation for Point Clouds arXiv:2205.05740
Semantic SegmentationonS3DIS
mAcc· 2022-05-11
82.6
best: 89.9 (Sonata + PTv3)
Surface Representation for Point Clouds arXiv:2205.05740

Audio7 results

10-shot image generationonS3DIS
oAcc· 2022-05-11
90.8
best: 93.3 (Sonata + PTv3)
SOTA
Surface Representation for Point Clouds arXiv:2205.05740
10-shot image generationonS3DIS Area5
mAcc· 2022-05-11
76
best: 81.6 (Sonata + PTv3)
Surface Representation for Point Clouds arXiv:2205.05740
10-shot image generationonS3DIS Area5
mIoU· 2022-05-11
68.9
best: 76 (Sonata + PTv3)
Surface Representation for Point Clouds arXiv:2205.05740
10-shot image generationonS3DIS Area5
oAcc· 2022-05-11
90.2
best: 93 (Sonata + PTv3)
Surface Representation for Point Clouds arXiv:2205.05740
10-shot image generationonS3DIS
Mean IoU· 2022-05-11
74.3
best: 82.3 (Sonata + PTv3)
Surface Representation for Point Clouds arXiv:2205.05740
10-shot image generationonS3DIS
Params (M)· 2022-05-11
0.97
best: 41.6 (PointNeXt-XL)
Surface Representation for Point Clouds arXiv:2205.05740
10-shot image generationonS3DIS
mAcc· 2022-05-11
82.6
best: 89.9 (Sonata + PTv3)
Surface Representation for Point Clouds arXiv:2205.05740