ExplainLFS: Explaining neural architectures for similarity learning from local perturbations in the latent feature space
Abstract: Highlights•An explanation technique for similarity learning neural architectures is presented.•Our approach establishes a visual connection between the embedding and the image pixels.•It aims to identify relevant features in similarity learning.•The method’s effectiveness is demonstrated in face recognition and image retrieval.
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