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Benchmarks
Robotic Grasping on Cornell Grasp Dataset (O-ACC, Q-ACC)
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97.5
Object-wise Accuracy (O-ACC)
SE-ResUNet
89.596
91.648
93.7
95.752
Mar 2, 2026
Object-wise Accuracy (O-ACC)
Quality Accuracy (Q-ACC)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Object-wise Accuracy (O-ACC)
Quality Accuracy (Q-ACC)
SE-ResUNet
Runtime (s)=0.047, Bas...
2026.03
97.5
97.2
GR-ConvNet
Runtime (s)=0.016, Bas...
2026.03
96.2
85.9
GG-CNN2
Runtime (s)=0.010, Bas...
2026.03
94.9
90.3
FCG-Net
Runtime (s)=0.047, Bas...
2026.03
94.9
89.5
GG-CNN
Runtime (s)=0.004, Bas...
2026.03
89.9
70.1
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