What is it about?

To improve the robustness and to reduce the energy consumption of facial expression recognition, this study proposed a facial expression recognition method based on improved deep residual networks (ResNets).

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Why is it important?

This study not only contributes a solution for robust facial expression recognition, but also consolidates the low energy cost of their implementation on neuromorphic devices, which could pave the way for high-performance, noise-robust and energy-efficient vision applications on mobile hardware.

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This page is a summary of: Robust and energy-efficient expression recognition based on improved deep ResNets, Biomedical Engineering / Biomedizinische Technik, September 2019, De Gruyter, DOI: 10.1515/bmt-2018-0027.
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