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Benchmarks
Robotic Grasp Detection on Cornell Grasp Dataset (Object-wise)
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96.1
Accuracy
Ours
3.124
27.262
51.4
75.538
Nov 24, 2016
Feb 4, 2017
Apr 17, 2017
Jun 29, 2017
Sep 9, 2017
Nov 20, 2017
Feb 1, 2018
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Ours
policy=Top-1
2018.02
96.1
Ours
policy=center
2018.02
96.1
Guo et al.
2018.02
89.9
Multi-Modal Grasp Predictor
Backbone=ResNet-50x2,...
2016.11
88.96
Uni-modal Grasp Predictor
Backbone=ResNet-50, Ac...
2016.11
88.4
Uni-modal Grasp Predictor
Backbone=ResNet-50, Ac...
2016.11
87.72
STEM-CaRFs (Selective Grasp)
2016.11
87.5
AlexNet, MultiGrasp
2016.11
87.1
Kumra et al.
2018.02
86.5
Uni-modal Grasp Predictor
Backbone=ResNet-50, Cl...
2016.11
84.47
Multi-Modal Grasp Predictor
Backbone=ResNet-50x2,...
2016.11
84.47
SAE, struct. reg. two-stage
2016.11
75.6
Fast Search
2016.11
58.3
Chance
2016.11
6.7
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