Segmentation models with pretrained backbones. PyTorch.

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

PyTorch Implementations for DeeplabV3 and PSPNet

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

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

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

A semantic segmentation toolbox based on PyTorch

Mobile AI Compute Engine Model Zoo

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.

使用deeplab_v3模型对遥感图像进行分割

PyTorch实现高分遥感语义分割（地物分类）

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

Reimplementation of DeepLabV3

DeepLabv3 built in TensorFlow

PyTorch implementation of DeepLabv3

DeepLabV3+ implemented in TensorFlow2.0

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