Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
MMSegmentation 是一个基于 PyTorch 的语义分割开源工具箱。它是 OpenMMLab 项目的一部分。
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
#计算机科学#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".
#计算机科学# 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 task for ADE20k & cityscapse dataset, based on several models.
#计算机科学#Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.
Lots of semantic image segmentation implementations in Tensorflow/Keras
Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
Implemetation of Pyramid Scene Parsing Network in Pytorch