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Benchmarks
Grasp Detection on Jacquard Dataset
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95.6
Accuracy
Efficient Grasping-D
73.344
79.122
84.9
90.678
Sep 11, 2019
Dec 3, 2019
Feb 25, 2020
May 19, 2020
Aug 10, 2020
Nov 2, 2020
Jan 25, 2021
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Efficient Grasping-D
Input=Depth
2021.01
95.6
Ours
Parameters (Approx.)=4...
2021.01
95.6
GR-ConvNet-RGB-D
Author=Kumra
2021.01
94.6
GR-ConvNet
Modality=RGB-D
2019.09
94.6
GR-ConvNet
Modality=Depth
2019.09
93.7
ROIGD-RGD
Author=Zhang
2021.01
93.6
Efficient Grasping-RGB-D
Input=RGB-D
2021.01
93.6
Resnet-101-RGD
Author=Song
2021.01
93.2
FCGN-RGD
Author=Zhou
2021.01
92.8
FCGN
Backbone=ResNet-101
2019.09
91.8
GR-ConvNet
Modality=RGB
2019.09
91.8
Efficient Grasping-RGB
Input=RGB
2021.01
91.6
GG-CNN2
Author=Morrison
2021.01
84
GG-CNN2
2019.09
84
Jacquard
Author=Depierre
2021.01
74.2
Jacquard
2019.09
74.2
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