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Is there any existing implementation of dense crf where it is trained in batch?

原文 2019-06-21 06:38:08 0 1 computer-vision/ crf/ python-crfsuite

I have a big dataset and want to train my CNN Model with DenseCRF (CNN+CRFasRNN). I want to do this training in batch. But as far as I know, the C++ library for the dense CRF does not allow mini-batch training. Also, I haven't come across any implementation in Python which does that. Can anyone help me with this?

1 answers

Check these links might be useful:

https://github.com/kmkurn/pytorch-crf

https://github.com/lucasb-eyer/pydensecrf/tree/master/pydensecrf/densecrf

https://github.com/MarvinTeichmann/ConvCRF

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Related Question How to Apply a TimeDistributed Dense Layer to a tensor of shape (batch_size, 600, 105, 8) to produce output (batch_size, 600, 48) Image labeling performance using CRF Any way to efficiently stack/ensemble pre-trained models for image classification? Is there any way I can use the downloaded pre-trained models for TIMM? dense sift and vlfeat Data augmentation for dense correspondence? Dense sift vs sift? Is there any existing (public) source code for large-scale kinect fusion? Dense pixelwise reverse projection Keras: multiclass classification Dense layer

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Is there any existing implementation of dense crf where it is trained in batch?

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1 answers

solution1 0 2019-07-10 11:15:31

solution1
0 2019-07-10 11:15:31