are even open-world segmentation models (Segment Anything). However, traditional segmentation models are still in demand for high accuracy and custom use cases. This repo will be updated according to new PyTorch
我们开源了目前为止PyTorch上最好的semantic segmentation toolbox。其中包含多种网络的实现和pretrained model。自带多卡同步bn, 能复现在MIT ADE20K上SOTA的结果。欢迎试用。由Hang Zhao @Jason Hsiao 共同开发。 CSAILVision/semantic-segmentation-pytorchgithub.com/CSAILVision/semantic-segmentation-pytorch编辑...
computer-visiondeep-learningimage-annotationannotationtensorflowvideo-annotationannotationspytorchdatasetimagenetimage-classificationobject-detectionlabelingsemantic-segmentationannotation-toolboundingboximage-labelinglabeling-toolcomputer-vision-annotationimage-labelling-tool ...
https://github.com/zijundeng/pytorch-semantic-segmentation
PyTorch for Beginners: Semantic Segmentation using torchvision Object Detection Instance Segmentation 1. What is Semantic Segmentation? Semantic Segmentation is an image analysis procedure in which we classify each pixel in the image into a class. ...
vedaseg is an open source semantic segmentation toolbox based on PyTorch. Features Modular Design: We decompose the semantic segmentation framework into different components. The flexible and extensible design make it easy to implement a customized semantic segmentation project by combining different modules...
CCNet: Criss-Cross Attention for Semantic Segmentation PDF: https://arxiv.org/pdf/1811.11721.pdf PyTorch代码: https:///shanglianlm0525/CvPytorch PyTorch代码: https:///shanglianlm0525/PyTorch-Networks ...
PyTorch语义分割 这个库包含一些语义分割模型和训练和测试模型的管道,在PyTorch中实现 Models Vanilla FCN:FCN32,FCN16,FCN8, in the versions of VGG,ResNet和DenseNet(完全卷积网络进行语义分割) U-Net (U-net:用于生物医学图像分割的卷积网络) SegNet (Segnet:用于图像分割的深度卷积编码器 - 解码器架构) ...
深度学习论文: Fast-SCNN: Fast Semantic Segmentation Network及其PyTorch实现 Fast-SCNN: Fast Semantic Segmentation Network PDF:https://arxiv.org/pdf/1902.04502.pdf PyTorch: https:///shanglianlm0525/PyTorch-Networks ...
git clone https://github.com/Tramac/awesome-semantic-segmentation-pytorch.git # the following will install the lib with symbolic links, so that you can modify # the files if you want and won't need to re-build it cd awesome-semantic-segmentation-pytorch/core/nn python setup.py build ...