On Network Design Spaces for Visual Recognition

Ilija Radosavovic
Ilija Radosavovic
Justin Johnson
Justin Johnson
Wan-Yen Lo
Wan-Yen Lo

ICCV, pp. 1882-1890, 2019.

Cited by: 6|Bibtex|Views121|DOI:https://doi.org/10.1109/ICCV.2019.00197
EI
Other Links: dblp.uni-trier.de|arxiv.org

Abstract:

Over the past several years progress in designing better neural network architectures for visual recognition has been substantial. To help sustain this rate of progress, in this work we propose to reexamine the methodology for comparing network architectures. In particular, we introduce a new comparison paradigm of distribution estimate...More

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