fully-convolutional-networks

Semantic Segmentation Architectures Implemented in PyTorch

A Keras port of Single Shot MultiBox Detector

PyTorch for Semantic Segmentation

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

🚀 😏 Near Real Time CPU Face detection using deep learning

🚘 Easiest Fully Convolutional Networks

liver segmentation using deep learning

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

U-Time: A Fully Convolutional Network for Time Series Segmentation

A Single Shot MultiBox Detector in TensorFlow

Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.

Deep and Machine Learning for Microscopy

Convolutional Neural Networks for Cardiac Segmentation

Tensorflow implementation : U-net and FCN with global convolution

Semantically segment the road in the given image.