segnet

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

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Pixel-wise segmentation on VOC2012 dataset using pytorch.

Keras-Semantic-Segmentation

AI Papers

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

Experiments with satellite image data

SegNet-like network implemented in TensorFlow to use for segmenting aerial images

The official implementation of "Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting"

segmentation repo using pytorch

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Lots of semantic image segmentation implementations in Tensorflow/Keras

SegNet-like Autoencoders in TensorFlow

The source code of "A Streamlined Encoder/Decoder Architecture for Melody Extraction"

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

A modified SegNet Convolutional Neural Net for segmenting human skin from images

Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.

SegNet implementation & experiments in Chainer

PyTorch implementation for Semantic Segmentation, include FCN, U-Net, SegNet, GCN, PSPNet, Deeplabv3, Deeplabv3+, Mask R-CNN, DUC, GoogleNet, and more dataset

Contains code for Semantic Segmentation of MoNuSeg 2018 challenge.