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Models/UDA-COPE

UDA-COPE

Reported on 18 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Computer Vision6 results

Pose EstimationonREAL275
mAP 10, 2cm· 2021-11-24
56.9
best: 72.4 (GenPose https://github.com/Jiyao06/GenPose)
SOTA
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580
Pose EstimationonREAL275
mAP 5, 2cm· 2021-11-24
30.4
best: 52.1 (GenPose https://github.com/Jiyao06/GenPose)
SOTA
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580
Pose EstimationonREAL275
mAP 10, 5cm· 2021-11-24
66
best: 84 (GenPose https://github.com/Jiyao06/GenPose)
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580
Pose EstimationonREAL275
mAP 3DIou@50· 2021-11-24
82.6
best: 92.2 (FS-Net)
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580
Pose EstimationonREAL275
mAP 3DIou@75· 2021-11-24
62.5
best: 65.3 (gcasp)
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580
Pose EstimationonREAL275
mAP 5, 5cm· 2021-11-24
34.8
best: 87.4 (BundleTrack)
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580

Methodology6 results

3DonREAL275
mAP 10, 2cm· 2021-11-24
56.9
best: 72.4 (GenPose https://github.com/Jiyao06/GenPose)
SOTA
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580
3DonREAL275
mAP 5, 2cm· 2021-11-24
30.4
best: 52.1 (GenPose https://github.com/Jiyao06/GenPose)
SOTA
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580
3DonREAL275
mAP 10, 5cm· 2021-11-24
66
best: 84 (GenPose https://github.com/Jiyao06/GenPose)
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580
3DonREAL275
mAP 3DIou@50· 2021-11-24
82.6
best: 92.2 (FS-Net)
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580
3DonREAL275
mAP 3DIou@75· 2021-11-24
62.5
best: 65.3 (gcasp)
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580
3DonREAL275
mAP 5, 5cm· 2021-11-24
34.8
best: 87.4 (BundleTrack)
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580

Audio6 results

1 Image, 2*2 StitchionREAL275
mAP 10, 2cm· 2021-11-24
56.9
best: 72.4 (GenPose https://github.com/Jiyao06/GenPose)
SOTA
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580
1 Image, 2*2 StitchionREAL275
mAP 5, 2cm· 2021-11-24
30.4
best: 52.1 (GenPose https://github.com/Jiyao06/GenPose)
SOTA
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580
1 Image, 2*2 StitchionREAL275
mAP 10, 5cm· 2021-11-24
66
best: 84 (GenPose https://github.com/Jiyao06/GenPose)
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580
1 Image, 2*2 StitchionREAL275
mAP 3DIou@50· 2021-11-24
82.6
best: 92.2 (FS-Net)
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580
1 Image, 2*2 StitchionREAL275
mAP 3DIou@75· 2021-11-24
62.5
best: 65.3 (gcasp)
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580
1 Image, 2*2 StitchionREAL275
mAP 5, 5cm· 2021-11-24
34.8
best: 87.4 (BundleTrack)
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation arXiv:2111.12580