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Grasp Detection on Cornell image-wise

98.9AccuracyEfficient Grasping-D
58.96469.33279.790.068Feb 1, 2018Aug 1, 2018Jan 30, 2019Jul 30, 2019Jan 28, 2020Jul 27, 2020Jan 25, 2021

Evaluation results

MethodLinks
Efficient Grasping-DInput Size=300× 300, Time (ms)=62021.0198.9
Efficient Grasping-RGB-DInput Size=300× 300, Time (ms)=62021.0198.9
FCGNInput Size=320 × 320, Time (ms)=1172021.0197.7
GR-ConvNetInput Size=300× 3002021.0197.7
FCNNInput Size=360× 360, Time (ms)=202021.0196.6
Efficient Grasping-RGBInput Size=300× 300, Time (ms)=62021.0196.6
Matching StrategyInput Size=320× 3202021.0196.2
Ourspolicy=Top-12018.0296
Ourspolicy=center2018.0296
FasterRcnnInput Size=227 × 227, Time (ms)=1202021.0196
GPWRGInput Size=400× 400, Time (ms)=82021.0194.4
Guo et al.2018.0293.8
ROI-GDTime (ms)=402021.0193.6
ZF-Net, MultiGrasp2021.0193.2
GraspNetInput Size=224 x 224, Time (ms)=242021.0190.6
ResNet-50Input Size=224 x 224, Time (ms)=1032021.0189.2
Multimodal FusionInput Size=224 x 224, Time (ms)=1172021.0188.9
Kumra et al.2018.0288.7
GRPNTime (ms)=2002021.0188.7
AlexNet, MultiGraspInput Size=224 x 224, Time (ms)=762021.0188
Two-stage, Cloosed LoopTime (ms)=1402021.0185.3
SAEInput Size=227 × 227, Time (ms)=13502021.0173.9
GGCNNInput Size=300× 300, Time (ms)=32021.0173
Fast SearchInput Size=227 × 227, Time (ms)=50002021.0160.5