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"Network Dissection: Quantifying Interpretability of Deep Visual ..."

David Bau et al. (2017)

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DOI: 10.1109/CVPR.2017.354

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-24

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  dblp key:
  - conf/cvpr/BauZKO017
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  persistent URL:
  - https://dblp.org/rec/conf/cvpr/BauZKO017
David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba:
Network Dissection: Quantifying Interpretability of Deep Visual Representations. CVPR 2017: 3319-3327

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