Table 2 Comparison of test results based on MSD
From: Glass Recognition and Map Optimization Method for Mobile Robot Based on Boundary Guidance
Method | CRF | IoU↑ | Acc↑ | F-beta↑ | mAE↓ | BER↓ |
|---|---|---|---|---|---|---|
MirrorNet | + | 78.95 | 0.935 | 0.857 | 0.065 | 6.39 |
EBLNet (RNet101) | − | 78.84 | 0.946 | 0.876 | 0.054 | 8.84 |
EBLNet (RNeXt101) | − | 80.33 | 0.951 | 0.883 | 0.049 | 8.63 |
EBLCNet (RNet101) 2C | − | 83.26 | 0.934 | 0.929 | 0.066 | 10.11 |
EBLCNet (RNeXt101) 2C | − | 84.69 | 0.940 | 0.938 | 0.059 | 9.44 |