An ablation study on part-based face analysis using a Multi-input Convolutional Neural Network and Semantic Segmentation
Abstract: Highlights•We propose a DL-based part by part analysis of the face.•We apply a multi-input CNN to recognize the faces.•We consider four different face parts: eye, eyebrows, mouth, and nose.•We conduct an ablation study to infer the relevance of each part in face recognition task.
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