Segmentation done on superpixels inputs, using pretrained ResNet50 (Transfer learning) as DNN module on MSRC dataset. Code file is ipynb file and contains final segmented image as well as the test and train accuracies. Implemented in python using pyTorch.
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krgaurav-iitb/Semantic-Segmentation-using-superpixels-as-input
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Segmentation is done on superpixels inputs, using pre-trained ResNet50 (Transfer learning) as a DNN module.
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