Robotic Grasping on Cornell Grasp Dataset (O-ACC, Q-ACC)
97.5Object-wise Accuracy (O-ACC)SE-ResUNet
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SE-ResUNetRuntime (s)=0.047, Base Architecture=SE-ResUNet, Optimization Framework=MAQP2026.03 | 97.5 | 97.2 | |
| GR-ConvNetRuntime (s)=0.016, Base Architecture=GR-ConvNet, Optimization Framework=MAQP2026.03 | 96.2 | 85.9 | |
| GG-CNN2Runtime (s)=0.010, Base Architecture=GG-CNN2, Optimization Framework=MAQP2026.03 | 94.9 | 90.3 | |
| FCG-NetRuntime (s)=0.047, Base Architecture=FCG-Net, Optimization Framework=MAQP2026.03 | 94.9 | 89.5 | |
| GG-CNNRuntime (s)=0.004, Base Architecture=GG-CNN, Optimization Framework=MAQP2026.03 | 89.9 | 70.1 |