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. ✂️
SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.
DeepLabv3+ built in TensorFlow
PyTorch Implementations for DeeplabV3 and PSPNet
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）
Remotes Sensing Semantic Segmentation
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
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
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
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
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