基于高维特征表示的交通场景识别
|
|
刘文华,李浥东,王涛,邬俊,金一
|
Transportation scene recognition based on high level feature representation
|
|
Wenhua LIU,Yidong LI,Tao WANG,Jun WU,Yi JIN
|
|
表4 训练数据大小对算法性能的影响
|
| |
|
| 算法 | 训练数据 | Sport | Indoor | Outdoor | 15 Scene | | AttributesFinetune | 50% | 85.32% | 46.07% | 92.61% | 14.53% | | 70% | 89.73% | 57.72% | 93.68% | 89.92% | | 100% | 96.23% | 68.32% | 98.83% | 91.92% | | FeatureGIST | 50% | 59.95% | 4.89% | 75.68% | 58.93% | | 70% | 67.59% | 5.69% | 81.96% | 67.68% | | 100% | 68.86% | 5.92% | 83.53% | 69.27% |
|
|
|