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Models/DenseFusion

DenseFusion

Reported on 20 benchmarks across 9 tasks · 1 paper · 20 SOTA

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

Methodology10 results

3DonDTTD-Mobile
ADD AUC· 2019-01-15
69.67
best: 73.99 (DTTDNet)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
3DonDTTD-Mobile
ADD-S AUC· 2019-01-15
85.88
best: 88.1 (DTTDNet)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
3DonYCB-Video
ADDS AUC· 2019-01-15
93.1
best: 97.9 (ICG+)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
3DonLineMOD
Accuracy (ADD)· 2019-01-15
94.3
best: 99.7 (FFB6D)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
2D ClassificationonDTTD-Mobile
ADD AUC· 2019-01-15
69.67
best: 73.99 (DTTDNet)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
2D ClassificationonDTTD-Mobile
ADD-S AUC· 2019-01-15
85.88
best: 88.1 (DTTDNet)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
2D Object DetectiononDTTD-Mobile
ADD AUC· 2019-01-15
69.67
best: 73.99 (DTTDNet)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
2D Object DetectiononDTTD-Mobile
ADD-S AUC· 2019-01-15
85.88
best: 88.1 (DTTDNet)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
16konDTTD-Mobile
ADD AUC· 2019-01-15
69.67
best: 73.99 (DTTDNet)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
16konDTTD-Mobile
ADD-S AUC· 2019-01-15
85.88
best: 88.1 (DTTDNet)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780

Computer Vision8 results

Pose EstimationonYCB-Video
ADDS AUC· 2019-01-15
93.1
best: 97.9 (ICG+)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
Pose EstimationonLineMOD
Accuracy (ADD)· 2019-01-15
94.3
best: 99.7 (FFB6D)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
Object DetectiononDTTD-Mobile
ADD AUC· 2019-01-15
69.67
best: 73.99 (DTTDNet)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
Object DetectiononDTTD-Mobile
ADD-S AUC· 2019-01-15
85.88
best: 88.1 (DTTDNet)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
3D Object DetectiononDTTD-Mobile
ADD AUC· 2019-01-15
69.67
best: 73.99 (DTTDNet)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
3D Object DetectiononDTTD-Mobile
ADD-S AUC· 2019-01-15
85.88
best: 88.1 (DTTDNet)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
6D Pose EstimationonYCB-Video
ADDS AUC· 2019-01-15
93.1
best: 97.9 (ICG+)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
6D Pose EstimationonLineMOD
Accuracy (ADD)· 2019-01-15
94.3
best: 99.7 (FFB6D)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780

Audio2 results

1 Image, 2*2 StitchionYCB-Video
ADDS AUC· 2019-01-15
93.1
best: 97.9 (ICG+)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780
1 Image, 2*2 StitchionLineMOD
Accuracy (ADD)· 2019-01-15
94.3
best: 99.7 (FFB6D)
SOTA
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion arXiv:1901.04780