544 citations · 599 across the 7 of their papers we have counts for
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cs.CV2020
Neural Prototype Trees for Interpretable Fine-grained Image Recognition
Meike Nauta, Ron van Bree, Christin Seifert
Prototype-based methods use interpretable representations to address the black-box nature of deep learning models, in contrast to post-hoc explanation methods that only approximate…
cs.CV2020★ 44 cited
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition
Meike Nauta, Annemarie Jutte, Jesper Provoost +1
Image recognition with prototypes is considered an interpretable alternative for black box deep learning models. Classification depends on the extent to which a test image "looks l…