Research Article
Genetic Feature Fusion for Object Skeleton Detection
Table 1
Performance comparison of the state-of-the-art approaches on commonly used skeleton\symmetry detection datasets.
| Methods | Datasets | SK-LARGE [30] | SK-SMALL [5] | WH-SYMMAX [31] |
| MIL [35] | 0.353 | 0.392 | 0.365 | HED [4] | 0.497 | 0.541 | 0.732 | RCF [36] | 0.626 | 0.613 | 0.751 | FSDS [5] | 0.633 | 0.623 | 0.769 | SRN [6] | 0.658 | 0.632 | 0.443 | LSN [10] | 0.668 | 0.633 | 0.797 | Hi-Fi [8] | 0.724 | 0.681 | 0.805 | DeepFlux [37] | 0.732 | 0.695 | 0.840 | GFF (ours) | 0.736 | 0.723 | 0.837 |
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