Crowd Counting On Jhu Crowd
Metrics
MAE
MSE
Results
Performance results of various models on this benchmark
Model Name | 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 |
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