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Models/PoseCNN

PoseCNN

Reported on 6 benchmarks across 3 tasks · 1 paper

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

Computer Vision2 results

Pose EstimationonYCB-Video
Mean ADD· 2017-11-01
53.7
best: 95.43 (CMCL6D)
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes arXiv:1711.00199
Pose EstimationonYCB-Video
Mean ADD-S· 2017-11-01
75.9
best: 95.5 (PVN3D)
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes arXiv:1711.00199

Methodology2 results

3DonYCB-Video
Mean ADD· 2017-11-01
53.7
best: 95.43 (CMCL6D)
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes arXiv:1711.00199
3DonYCB-Video
Mean ADD-S· 2017-11-01
75.9
best: 95.5 (PVN3D)
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes arXiv:1711.00199

Audio2 results

1 Image, 2*2 StitchionYCB-Video
Mean ADD· 2017-11-01
53.7
best: 95.43 (CMCL6D)
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes arXiv:1711.00199
1 Image, 2*2 StitchionYCB-Video
Mean ADD-S· 2017-11-01
75.9
best: 95.5 (PVN3D)
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes arXiv:1711.00199