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...
| Hauptverfasser: | , , , , , |
|---|---|
| Format: | Conference item |
| Veröffentlicht: |
Springer, Cham
2017
|