David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba 0001. Network Dissection: Quantifying Interpretability of Deep Visual Representations. In 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017. pages 3319-3327, IEEE Computer Society, 2017. [doi]
@inproceedings{BauZKO017,
title = {Network Dissection: Quantifying Interpretability of Deep Visual Representations},
author = {David Bau and Bolei Zhou and Aditya Khosla and Aude Oliva and Antonio Torralba 0001},
year = {2017},
doi = {10.1109/CVPR.2017.354},
url = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.354},
researchr = {https://researchr.org/publication/BauZKO017},
cites = {0},
citedby = {0},
pages = {3319-3327},
booktitle = {2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017},
publisher = {IEEE Computer Society},
isbn = {978-1-5386-0457-1},
}