Command Palette
Search for a command to run...
Crowd Counting On Jhu Crowd
Metrics
MAE
MSE
Results
Performance results of various models on this benchmark
| Paper Title | Repository | |||
|---|---|---|---|---|
| EffCC-Lite0.5 | 77.24 | 276.17 | Improved Knowledge Distillation for Crowd Counting on IoT Device | - |
| GauNet (ResNet-50) | 58.2 | - | Rethinking Spatial Invariance of Convolutional Networks for Object Counting | |
| APGCC | 54.3 | - | Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance |
0 of 3 row(s) selected.