Method Details

Details for method 'Adelaide_context'

name	Adelaide_context
challenge	pixel-level semantic labeling
details	We explore contextual information to improve semantic image segmentation. Details are described in the paper. We trained contextual networks for coarse level prediction and a refinement network for refining the coarse prediction. Our models are trained on the training set only (2975 images) without adding the validation set.
publication	Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid CVPR 2016 http://arxiv.org/abs/1504.01013
project page / code
used Cityscapes data	fine annotations
used external data	ImageNet
runtime	n/a
subsampling	no
submission date	April, 2016
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