Semantic Correspondence On Pf Pascal
Métriques
PCK
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | PCK |
|---|---|
| hyperpixel-flow-semantic-correspondence-with | 88.3 |
| convolutional-hough-matching-networks | 91.6 |
| a-tale-of-two-features-stable-diffusion | 93.6 |
| cost-aggregation-is-all-you-need-for-few-shot | 92.3 |
| learning-to-compose-hypercolumns-for-visual | 90.7 |
| cats-boosting-cost-aggregation-with | 93.8 |
| semantic-correspondence-as-an-optimal | 88.8 |
| neighbourhood-consensus-networks | - |
| telling-left-from-right-identifying-geometry | 95.1 |
| telling-left-from-right-identifying-geometry | 82.6 |
| cost-aggregation-with-4d-convolutional-swin | 92.3 |
| telling-left-from-right-identifying-geometry | 95.7 |
| semantic-correspondence-with-transformers | 92.6 |
| correspondence-networks-with-adaptive | 88.7 |