Deep Residual Learning for Image Recognition

Research Publication

Develops residual learning to make very deep image recognition networks easier to optimise and evaluates the approach on visual recognition tasks. Authors: He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian Year: 2015 Venue: arXiv preprint (2015); conference version: CVPR 2016 Research topics: Residual networks; image classification; deep neural networks; optimisation DOI / identifier status: 10.48550/arXiv.1512.03385 Open text / access status: https://arxiv.org/abs/1512.03385 The recorded year and DOI identify the 2015 arXiv preprint; the peer-reviewed conference version appeared at CVPR 2016. Reference: https://arxiv.org/abs/1512.03385 Curation scope: edition-aware bibliographic consistency and thematic learning associations. A publisher catalogue link or verified DOI does not by itself imply unrestricted full-text access.

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