Methods > Computer Vision > Semantic Segmentation Models

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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PAPER DATE
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Land Cover Change Detection via Semantic Segmentation
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Vortex Pooling: Improving Context Representation in Semantic Segmentation
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Per-Pixel Feedback for improving Semantic Segmentation
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Adversarially Tuned Scene Generation
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Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
| Liang-Chieh ChenGeorge PapandreouIasonas KokkinosKevin MurphyAlan L. Yuille
2014-12-22

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