Research Article
Pretraining Convolutional Neural Networks for Image-Based Vehicle Classification
Table 2
Accuracy and FPS of different methods.
| Method | Accuracy | FPS |
| HOG+SVM | 60.12% | 4 | DAISY+SVM | 69.04% | 2 | ORB+BoW+SVM | 64.07% | 7 | SIFT+BoW+SVM | 74.49% | 5 | DeCAF[1] | 66.20% | 13 | CNNs | 91.42% | 800 |
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