mattroz / mobilenet_segmentation

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Brain Segmentation on MRBrains18

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Implementing polyp segmentation using the U-Net and CVC-612 dataset.

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

HyperSeg - Official PyTorch Implementation

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

Sandbox for training deep learning networks

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

An awesome semantic segmentation model that runs in real time

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

Collection of computer vision models, ready to be included in a JVM project

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

Cut and paste augmentation for object detection and instance segmentation

Machine Learning Project to identify an ID Card on an image