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GraspNet

Benchmarks

Task NameDataset NameSOTA ResultTrend
Grasp DetectionGraspNet-1Billion RealSense Novel
AP30.04
33
Grasp DetectionGraspNet-1Billion RealSense Similar
AP0.6521
33
Grasp DetectionGraspNet-1Billion RealSense (Seen)
AP72.81
33
Grasp DetectionGraspNet-1Billion (RealSense)
AP (Average)59.13
32
Grasp DetectionGraspNet-1Billion Kinect camera (seen)
AP63.5
23
Whole Scene ReconstructionGraspNet Real (10 Scenes)
PSNR23.15
17
Grasp DetectionGraspNet-1Billion Kinect camera (Novel)
AP19.78
13
Grasp DetectionGraspNet-1Billion Kinect camera (Similar split)
AP40.03
13
Grasp Pose DetectionGraspNet-1Billion Kinect 1.0
AP (Seen)72.89
12
Semantic SegmentationGraspNet-1B
mIoU27.85
11
Grasp Pose DetectionGraspNet-1Billion Kinect 1.0 (Novel)
AP0.1978
10
Grasp Pose DetectionGraspNet-1Billion Kinect 1.0 (Similar)
AP49.18
10
Grasp Pose DetectionGraspNet-1Billion RealSense 1.0 (Seen)
AP67.12
10
ClassificationGraspNetPC-10 1.0 (test)
Success Rate (Syn -> Kin)0.972
10
Grasp DetectionGraspNet-1Billion Kinect
AP (Seen)0.6944
9
3D Scene ReconstructionGraspNet-1B
IoU37.7
8
6-DoF GraspingGraspNet-1Billion Average Kinect
AP50.67
8
6-DoF GraspingGraspNet-1Billion Novel Kinect
AP23.67
8
6-DoF GraspingGraspNet-1Billion Similar Kinect
AP59.01
8
6-DoF GraspingGraspNet-1Billion Seen Kinect
AP69.44
8
6-DoF GraspingGraspNet-1Billion Average RealSense
AP56.02
8
Novel View SynthesisGraspNet Cross-dataset from DL3DV
LPIPS0.229
8
Affordance SegmentationGraspNet (novel)
gIoU61.3
8
Affordance SegmentationGraspNet (seen)
gIoU72
8
Dexterous GraspingGraspNet-1Billion (Loose)
Success Rate80.1
6
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