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...
| Auteurs principaux: | , , , , , |
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| Format: | Conference item |
| Publié: |
Springer, Cham
2017
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