Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
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Nov 9, 2026 - Python
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Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
computer-vision models image-processing transformers pytorch imagenet segmentation image-segmentation unet dpt semantic-segmentation pretrained-weights pspnet fpn deeplabv3 unet-pytorch deeplab-v3-plus segmentation-models unetplusplus segformer
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
pytorch transformer image-segmentation semantic-segmentation vessel-segmentation pspnet medical-image-segmentation deeplabv3 retinal-vessel-segmentation realtime-segmentation swin-transformer
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
tensorflow keras segmentation densenet resnet image-segmentation unet keras-models resnext pre-trained keras-tensorflow mobilenet pspnet pretrained fpn keras-examples linknet segmentation-models tensorflow-keras efficientnet
SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.
twins semantic-segmentation deeplab pspnet deeplabv3 ocrnet isnet mcibi segfomer maskformer segment-anything mobilesam mask2former samhq edgesam segment-anything-2
PyTorch Implementations for DeeplabV3 and PSPNet
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
deep-learning pytorch unet semantic-segmentation deeplab pspnet icnet bisenet portrait-segmentation human-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.
neural-network cpp models pytorch imagenet resnet image-segmentation unet semantic-segmentation resnext pretrained-weights pspnet fpn deeplabv3 deeplabv3plus libtorch pytorch-cpp pytorch-cpp-frontend pretrained-backbones libtorch-segment
A semantic segmentation toolbox based on PyTorch
Satellite Image Classification using semantic segmentation methods in deep learning
machine-learning computer-vision deep-learning tensorflow keras artificial-intelligence remote-sensing unet semantic-segmentation satellite-images pspnet satellite-image-classification
TensorFlow-based implementation of "Pyramid Scene Parsing Network".
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.
computer-vision tensorflow segmentation fcn image-segmentation unet semantic-segmentation deeplab pspnet fpn segmentation-model segmentation-models hrnet danet ocnet cfnet acfnet ocrnet tensorflow-macos
Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.
computer-vision deep-learning pytorch vgg resnet fcn convolutional-networks vgg16 unet semantic-segmentation pspnet resnet50 fcn8s mobileunet
Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.
PSPNet in Chainer
python deep-learning chainer imagenet convolutional-neural-networks semantic-segmentation pascal-voc cityscapes pspnet ade20k
Lots of semantic image segmentation implementations in Tensorflow/Keras
tensorflow enet fcn image-segmentation unet segnet mask-rcnn refinenet pspnet fc-densenet linknet decouplednet gan-ss g-frnet mscoo-dataset
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.
autoencoder segmentation unet pspnet fpn unet-nested tensorflow2 bcdu-net keras-tensoflow multiresunet unet-plusplus unet3plus deep-supervision unet-ensembled unet-plus attention-guided sedunet mgcunet denseinceptionunet ibaunet
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