GLFM
Reported on 8 benchmarks across 2 tasks
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Methodology5 results
- Mean Performance of P. and O.0.715best: 0.821 (DUS-Net)
- Object AUROC0.532best: 0.802 (PASDF)
- Point AUROC0.898
- Detection AUROC0.944best: 93.7 (AST)
- Segmentation AUROC0.979best: 97.6 (AST)
Computer Vision3 results
- Mean Performance of P. and O.0.715best: 0.821 (DUS-Net)
- Object AUROC0.532best: 0.802 (PASDF)
- Point AUROC0.898