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

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

DeepLabv3+ built in TensorFlow

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

PyTorch Implementations for DeeplabV3 and PSPNet

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

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

PyTorch实现高分遥感语义分割（地物分类）

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.

Remotes Sensing Semantic Segmentation

A semantic segmentation toolbox based on PyTorch

Mobile AI Compute Engine Model Zoo

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

DeepLabv3 built in TensorFlow

Reimplementation of DeepLabV3

PyTorch implementation of DeepLabv3

Automated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos

Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类