Methods > Computer Vision > Semantic Segmentation Models

DeepLab

Introduced by Chen et al. in Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
 
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DeepLab is a semantic segmentation architecture. First, the input image goes through the network with the use of dilated convolutions. Then the output from the network is bilinearly interpolated and goes through the fully connected CRF to fine tune the result we obtain the final predictions.

Source: Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
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# 2 SCENE SEGMENTATION ON SUN-RGBD
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