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PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
🙄 Difficult algorithm, Simple code.
Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.
Implementation of `Fully Convolutional Networks for Semantic Segmentation` by Jonathan Long, Evan Shelhamer, Trevor Darrell, UC Berkeley
Convolutional Neural Networks: (1) based on UNet; (2) FCN8 for Image Segmentation of Pascal VOC 2012 dataset written as part of my MSc in Artificial Intelligence degree. Written in Tensorflow 2.0 with Keras Functional API.