Semantic Segmentation On Big
Métriques
IoU
mBA
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | IoU | mBA | Paper Title | Repository |
|---|---|---|---|---|
| PSPNet + CascadePSP | 93.93 | 75.32 | CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement | |
| FCN + CascadePSP | 77.87 | 67.04 | CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement | |
| RefineNet + CascadePSP | 92.79 | 74.77 | CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement | |
| DeepLabV3+ + CascadePSP | 92.23 | 74.59 | CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement |
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