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British Machine Vision Conference. 2016 Sep 19
Mapping auto-context decision forests to deep ConvNets for semantic segmentation. Kainmueller Lab
Richmond DL, Kainmueller D, Yang MY, Myers EW, Rother C
Note: Research in this publication was not performed at Janelia.
janelia7_blocks-janelia7_biblio_abstract | block
In this paper, we propose a mapping from the Auto-context model to a deep Convolutional Neural Network (ConvNet), bridging the gap be- tween these two models, and helping address the challenge of training ConvNets with limited training data.
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