Train data for Semantic segmentation using existing Nets (e,g.Segnet) for different classes

2 次查看（过去 30 天）
hanish lakhani
hanish lakhani 2018-1-30
评论： ahmed anis 2018-5-18
There is an example in Matlab "Semantic Segmentation Using Deep Learning" which is used to train objects in classes which are already existing in Original segnet. How can I use SegNet for indoor scene understanding which may have completely different classes.

请先登录，再回答此问题。

回答（1 个）

Anh Tran
Anh Tran 2018-2-2
The example starts with training using VGG-16 architectures and weights, rather than starting from scratch. VGG-16 is used for a wide range of classification (1000 classes) and it does not limit to outdoor. I understand it as SegNet does segmentation by integrating VGG-16 features extraction and classification abilities. Therefore, you may want to provide indoor training images and follow the example to create and train the network. You can also explore different pretrained network and find the right one for your application. Hope this helps.

类别

在 Help Center 和 File Exchange 中查找有关 Statistics and Machine Learning Toolbox 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by