Joint Training of Generic CNN-CRF Models with Stochastic Optimization

ACCV, pp. 221-236, 2016.

Cited by: 18|Views67
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Abstract:

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 for joint models so far. We show that our...More

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