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Models/FS-Net

FS-Net

Reported on 21 benchmarks across 3 tasks · 1 paper · 15 SOTA

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

Computer Vision7 results

Pose EstimationonREAL275
FPS· 2021-03-12
20
SOTA
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
Pose EstimationonREAL275
mAP 10, 10cm· 2021-03-12
64.6
best: 74.6 (GPV-Pose)
SOTA
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
Pose EstimationonREAL275
mAP 3DIou@25· 2021-03-12
95.1
best: 99.9 (BundleTrack)
SOTA
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
Pose EstimationonREAL275
mAP 3DIou@50· 2021-03-12
92.2
SOTA
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
Pose EstimationonREAL275
mAP 3DIou@75· 2021-03-12
63.5
best: 65.3 (gcasp)
SOTA
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
Pose EstimationonREAL275
mAP 10, 5cm· 2021-03-12
60.8
best: 84 (GenPose https://github.com/Jiyao06/GenPose)
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
Pose EstimationonREAL275
mAP 5, 5cm· 2021-03-12
28.2
best: 87.4 (BundleTrack)
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054

Methodology7 results

3DonREAL275
FPS· 2021-03-12
20
SOTA
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
3DonREAL275
mAP 10, 10cm· 2021-03-12
64.6
best: 74.6 (GPV-Pose)
SOTA
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
3DonREAL275
mAP 3DIou@25· 2021-03-12
95.1
best: 99.9 (BundleTrack)
SOTA
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
3DonREAL275
mAP 3DIou@50· 2021-03-12
92.2
SOTA
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
3DonREAL275
mAP 3DIou@75· 2021-03-12
63.5
best: 65.3 (gcasp)
SOTA
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
3DonREAL275
mAP 10, 5cm· 2021-03-12
60.8
best: 84 (GenPose https://github.com/Jiyao06/GenPose)
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
3DonREAL275
mAP 5, 5cm· 2021-03-12
28.2
best: 87.4 (BundleTrack)
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054

Audio7 results

1 Image, 2*2 StitchionREAL275
FPS· 2021-03-12
20
SOTA
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
1 Image, 2*2 StitchionREAL275
mAP 10, 10cm· 2021-03-12
64.6
best: 74.6 (GPV-Pose)
SOTA
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
1 Image, 2*2 StitchionREAL275
mAP 3DIou@25· 2021-03-12
95.1
best: 99.9 (BundleTrack)
SOTA
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
1 Image, 2*2 StitchionREAL275
mAP 3DIou@50· 2021-03-12
92.2
SOTA
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
1 Image, 2*2 StitchionREAL275
mAP 3DIou@75· 2021-03-12
63.5
best: 65.3 (gcasp)
SOTA
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
1 Image, 2*2 StitchionREAL275
mAP 10, 5cm· 2021-03-12
60.8
best: 84 (GenPose https://github.com/Jiyao06/GenPose)
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054
1 Image, 2*2 StitchionREAL275
mAP 5, 5cm· 2021-03-12
28.2
best: 87.4 (BundleTrack)
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism arXiv:2103.07054