Segmentation models with pretrained backbones. PyTorch.
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Updated
May 11, 2024 - Python
Segmentation models with pretrained backbones. PyTorch.
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
PyTorch Implementations for DeeplabV3 and PSPNet
SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.
A semantic segmentation toolbox based on PyTorch
TensorFlow-based implementation of "Pyramid Scene Parsing Network".
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.
Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.
PSPNet in Chainer
Lots of semantic image segmentation implementations in Tensorflow/Keras
Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
PyTorch re-implementation of PSPNet
Implemetation of Pyramid Scene Parsing Network in Pytorch
Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.
Code for the paper "Exploiting Temporality for Semi Supervised Video Segmentation" (ICCV '19)
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