Semantic Segmentation On Imagenet S
Métriques
mIoU (test)
mIoU (val)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | mIoU (test) | mIoU (val) |
|---|---|---|
| masked-autoencoders-are-scalable-vision | 60.2 | 61.0 |
| exploring-feature-self-relation-for-self | 48.2 | 48.6 |
| rf-next-efficient-receptive-field-search-for | 51.1 | 51.3 |
| masked-autoencoders-are-scalable-vision | 37.0 | 38.3 |
| a-convnet-for-the-2020s | 48.8 | 48.7 |
| towards-sustainable-self-supervised-learning | - | 62.0 |
| masked-autoencoders-are-scalable-vision | 40.3 | 40.0 |
| exploring-feature-self-relation-for-self | 40.2 | 41.0 |
| exploring-feature-self-relation-for-self | 59.0 | 59.4 |
| rf-next-efficient-receptive-field-search-for | 50.5 | 50.8 |
| rf-next-efficient-receptive-field-search-for | 50.5 | 50.7 |
| masked-autoencoders-are-scalable-vision | 61.2 | 61.6 |
| large-scale-unsupervised-semantic | 20.8 | 21.6 |
| exploring-feature-self-relation-for-self | 40.5 | 41.0 |
| exploring-feature-self-relation-for-self | 63.3 | 63.0 |
| towards-sustainable-self-supervised-learning | 46.0 | 46.1 |
| exploring-feature-self-relation-for-self | 57.8 | 58.9 |
| towards-sustainable-self-supervised-learning | - | 42.9 |
| towards-sustainable-self-supervised-learning | 62.5 | 63.2 |
| large-scale-unsupervised-semantic | 20.3 | 21.0 |