"Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in ..."

Ruth Fong, Andrea Vedaldi (2018)

> Home

Details and statistics

DOI: —

access: open

type: Informal or Other Publication

metadata version: 2018-08-13

- view
  - electronic edition @ arxiv.org (open access)
- export record
  dblp key:
  - journals/corr/abs-1801-03454
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1801-03454
Ruth Fong, Andrea Vedaldi:
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks. CoRR abs/1801.03454 (2018)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.