Joint training of generic CNN-CRF models with stochastic optimization

Joint training of generic CNN-CRF models with stochastic optimization

We propose a new CNN-CRF end-to-end learning framework, which is based on joint stochastic optimization with respect to both Convolutional Neural Network (CNN) and Conditional Random Field (CRF) parameters. While stochastic gradient descent is a standard technique for CNN training, it was not used f...

書誌詳細
主要な著者:	Kirillov, A, Schlesinger, D, Zheng, S, Savchynskyy, B, Torr, P, Rother, C
フォーマット:	Conference item
出版事項:	Springer, Cham 2017

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