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Models/H3DNet

H3DNet

Reported on 30 benchmarks across 6 tasks · 1 paper · 18 SOTA

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

Methodology20 results

3DonSUN-RGBD val
mAP@0.25· 2020-06-10
60.1
best: 69.7 (Point-GCC+TR3D+FF)
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
3DonSUN-RGBD val
mAP@0.5· 2020-06-10
39
best: 54 (Point-GCC+TR3D+FF)
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
3DonScanNetV2
mAP@0.25· 2020-06-10
67.2
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
2D ClassificationonSUN-RGBD val
mAP@0.25· 2020-06-10
60.1
best: 69.7 (Point-GCC+TR3D+FF)
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
2D ClassificationonSUN-RGBD val
mAP@0.5· 2020-06-10
39
best: 54 (Point-GCC+TR3D+FF)
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
2D ClassificationonScanNetV2
mAP@0.25· 2020-06-10
67.2
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
2D Object DetectiononSUN-RGBD val
mAP@0.25· 2020-06-10
60.1
best: 69.7 (Point-GCC+TR3D+FF)
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
2D Object DetectiononSUN-RGBD val
mAP@0.5· 2020-06-10
39
best: 54 (Point-GCC+TR3D+FF)
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
2D Object DetectiononScanNetV2
mAP@0.25· 2020-06-10
67.2
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
16konSUN-RGBD val
mAP@0.25· 2020-06-10
60.1
best: 69.7 (Point-GCC+TR3D+FF)
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
16konSUN-RGBD val
mAP@0.5· 2020-06-10
39
best: 54 (Point-GCC+TR3D+FF)
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
16konScanNetV2
mAP@0.25· 2020-06-10
67.2
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
3DonARKitScenes
mAP@0.25· 2020-06-10
38.3
best: 61.3 (UniDet3D)
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
3DonScanNetV2
mAP@0.5· 2020-06-10
48.1
best: 67.9 (DEST (based on V-DETR) (TTA))
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
2D ClassificationonARKitScenes
mAP@0.25· 2020-06-10
38.3
best: 61.3 (UniDet3D)
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
2D ClassificationonScanNetV2
mAP@0.5· 2020-06-10
48.1
best: 67.9 (DEST (based on V-DETR) (TTA))
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
2D Object DetectiononARKitScenes
mAP@0.25· 2020-06-10
38.3
best: 61.3 (UniDet3D)
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
2D Object DetectiononScanNetV2
mAP@0.5· 2020-06-10
48.1
best: 67.9 (DEST (based on V-DETR) (TTA))
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
16konARKitScenes
mAP@0.25· 2020-06-10
38.3
best: 61.3 (UniDet3D)
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
16konScanNetV2
mAP@0.5· 2020-06-10
48.1
best: 67.9 (DEST (based on V-DETR) (TTA))
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682

Computer Vision10 results

Object DetectiononSUN-RGBD val
mAP@0.25· 2020-06-10
60.1
best: 69.7 (Point-GCC+TR3D+FF)
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
Object DetectiononSUN-RGBD val
mAP@0.5· 2020-06-10
39
best: 54 (Point-GCC+TR3D+FF)
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
Object DetectiononScanNetV2
mAP@0.25· 2020-06-10
67.2
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
3D Object DetectiononSUN-RGBD val
mAP@0.25· 2020-06-10
60.1
best: 69.7 (Point-GCC+TR3D+FF)
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
3D Object DetectiononSUN-RGBD val
mAP@0.5· 2020-06-10
39
best: 54 (Point-GCC+TR3D+FF)
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
3D Object DetectiononScanNetV2
mAP@0.25· 2020-06-10
67.2
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
Object DetectiononARKitScenes
mAP@0.25· 2020-06-10
38.3
best: 61.3 (UniDet3D)
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
Object DetectiononScanNetV2
mAP@0.5· 2020-06-10
48.1
best: 67.9 (DEST (based on V-DETR) (TTA))
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
3D Object DetectiononARKitScenes
mAP@0.25· 2020-06-10
38.3
best: 61.3 (UniDet3D)
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682
3D Object DetectiononScanNetV2
mAP@0.5· 2020-06-10
48.1
best: 67.9 (DEST (based on V-DETR) (TTA))
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives arXiv:2006.05682