pspnet

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.

PyTorch Implementations for DeeplabV3 and PSPNet

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

A semantic segmentation toolbox based on PyTorch

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

Satellite Image Classification using semantic segmentation methods in deep learning

ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

semantic segmentation pytorch 语义分割

Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

PSPNet in Chainer

Lots of semantic image segmentation implementations in Tensorflow/Keras

PyTorch re-implementation of PSPNet

Implemetation of Pyramid Scene Parsing Network in Pytorch

1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.