Mapping auto-context decision forests to deep ConvNets for semantic segmentation.

Main Menu - Block

janelia7_blocks-janelia7_biblio_header | block

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

Abstract

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.

node:body | entity_field

Main Menu (Mobile)- Block

Main Menu - Block

Mapping auto-context decision forests to deep ConvNets for semantic segmentation.

Note: Research in this publication was not performed at Janelia.

Abstract