FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC
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Updated
Jul 23, 2020 - Jupyter Notebook
FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC
Find path by using Semantic Segmentation.
A Webpage Saliency Prediction model via 2 staged Transfer Learning using FCN-16s architecture
Semantically segmenting images using Fully Convolutional Networks based on VGG-16 network in PyTorch
Classify road in an image
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