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.
Few-shot class- incremental learning via compact and separa- ble features for fine-grained vehicle recogni- tion
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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.