简体繁体 English

批量培训过的稠密crf是否有任何现有的实现？

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

原文 2019-06-21 06:38:08 9 1 computer-vision/ crf/ python-crfsuite

I have a big dataset and want to train my CNN Model with DenseCRF (CNN+CRFasRNN). 我有一个很大的数据集，并想用DenseCRF（CNN + CRFasRNN）训练CNN模型。 I want to do this training in batch. 我想分批进行此培训。 But as far as I know, the C++ library for the dense CRF does not allow mini-batch training. 但据我所知，用于密集CRF的C ++库不允许进行小批量训练。 Also, I haven't come across any implementation in Python which does that. 另外，我还没有在Python中实现此目的的任何实现。 Can anyone help me with this? 谁能帮我这个？

1 个解决方案

Check these links might be useful: 检查这些链接可能有用：

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

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

https://github.com/MarvinTeichmann/ConvCRF https://github.com/MarvinTeichmann/ConvCRF

如何将时间分布密集层应用于形状张量（batch_size，600，105，8）以产生输出（batch_size，600，48） - How to Apply a TimeDistributed Dense Layer to a tensor of shape (batch_size, 600, 105, 8) to produce output (batch_size, 600, 48)

使用CRF的图像标记性能 - Image labeling performance using CRF

有什么方法可以有效地堆叠/集成用于图像分类的预训练模型？ - Any way to efficiently stack/ensemble pre-trained models for image classification?

有什么方法可以将下载的预训练模型用于 TIMM？ - Is there any way I can use the downloaded pre-trained models for TIMM?

密集的筛分和折磨 - dense sift and vlfeat

密集对应的数据增强？ - Data augmentation for dense correspondence?

密集筛选vs筛选？ - Dense sift vs sift?

是否存在大规模kinect融合的现有（公共）源代码？ - Is there any existing (public) source code for large-scale kinect fusion?

密集的像素反向投影 - Dense pixelwise reverse projection

Keras：多类分类密集层 - Keras: multiclass classification Dense layer

暂无

暂无

声明:本站的技术帖子网页，遵循CC BY-SA 4.0协议，如果您需要转载，请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.

相关问题 如何将时间分布密集层应用于形状张量（batch_size，600，105，8）以产生输出（batch_size，600，48） - How to Apply a TimeDistributed Dense Layer to a tensor of shape (batch_size, 600, 105, 8) to produce output (batch_size, 600, 48) 使用CRF的图像标记性能 - Image labeling performance using CRF 有什么方法可以有效地堆叠/集成用于图像分类的预训练模型？ - Any way to efficiently stack/ensemble pre-trained models for image classification? 有什么方法可以将下载的预训练模型用于 TIMM？ - Is there any way I can use the downloaded pre-trained models for TIMM? 密集的筛分和折磨 - dense sift and vlfeat 密集对应的数据增强？ - Data augmentation for dense correspondence? 密集筛选vs筛选？ - Dense sift vs sift? 是否存在大规模kinect融合的现有（公共）源代码？ - Is there any existing (public) source code for large-scale kinect fusion? 密集的像素反向投影 - Dense pixelwise reverse projection Keras：多类分类密集层 - Keras: multiclass classification Dense layer

相关标签

粤ICP备18138465号 © 2020-2024 STACKOOM.COM