Crowd Counting On Jhu Crowd
Métriques
MAE
MSE
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | MAE | MSE | Paper Title | Repository |
|---|---|---|---|---|
| EffCC-Lite0.5 | 77.24 | 276.17 | Improved Knowledge Distillation for Crowd Counting on IoT Device | |
| APGCC | 54.3 | - | Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance | |
| GauNet (ResNet-50) | 58.2 | - | Rethinking Spatial Invariance of Convolutional Networks for Object Counting |
0 of 3 row(s) selected.