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Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation

sample

This repository contains Keras/Tensorflow code for the "CRF-RNN" semantic image segmentation method, implemented in TensorFlow Keras by https://github.com/sadeepj/crfasrnn_keras

Train: $ python train_gby.py -m fcn_RESNET50_8s -ds streets -e 1 -bs 32 -vb 1 -is 224

Eval/Test: $ python eval_gby.py -ds horsecoarse -w /storage/gby/semseg/horsecoarse_weights_fcn_RESNET50_8s_100ep

Paper

Parts of this work appear in Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation.

For citation:

@article{mata2018complex,
  title={Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation},
  author={Mata, Cristina and Ben-Yosef, Guy and Katz, Boris},
  journal={arXiv preprint arXiv:1805.09462},
  year={2018}
}

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