A part-based vehicle classifier using spatial probability maps for parts and softmax regression achieves accuracy comparable to end-to-end CNNs with greater robustness and explainability.
Disentangling convolu- tional neural network towards an explainable vehicle classifier
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Explainable Part-Based Vehicle Classifier with Spatial Awareness
A part-based vehicle classifier using spatial probability maps for parts and softmax regression achieves accuracy comparable to end-to-end CNNs with greater robustness and explainability.