随笔分类 - segmentation
Semantic Segmentation
摘要:常用的公开车道线数据集合 ApolloScape 论文: The ApolloScape Open Dataset for Autonomous Driving and its Application 简介: 百度2018年公开(CVPR2018 workshops),包含多种道路目标的语义标签(车
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摘要:paper: PolarMask: Single Shot Instance Segmentation with Polar Representation code: https://github.com/xieenze/PolarMask 作者知乎解答 PolarMask是CVPR2020的ora
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摘要:paper: "Inter Region Affinity Distillation for Road Marking Segmentation" code: "Codes for IntRA KD" Abstract 1. IntRA KD是商汤&港中文&南洋理工在CVPR2020的一篇road
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摘要:paper: "ERFNet: Efficient Residual Factorized ConvNet for Real time Semantic Segmentation" code: "PyTorch" Abstract 1. ERFNet可以看作是对ResNet结构的又一改变,同时也是对
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摘要:paper: "ENet: A Deep Neural Network Architecture for Real Time" code: "caffe" Abstract 1. ENet是16年初的一篇工作了,能够达到实时的语义分割,包括在嵌入式设备NVIDIA TX1,同时还能够保证网络的效果。
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摘要:paper: "Deep High Resolution Representation Learning for Visual Recognition" code: "HRNet" Abstract 1. HRNet,这里用的是PAMI2020的工作,整合了human pose estimation
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摘要:paper: "Object Contextual Representations for Semantic Segmentation" code: "PyTorch" Abstract 1. OCR是MSRA和中科院的一篇语义分割工作,结合每一类的类别语义信息给每个像素加权,再和原始的pixel特
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摘要:paper: "Pyramid Scene Parsing Network" code: "caffe" , "PyTorch" "官方blog" Abstract 1. PSPNet是港中文和商汤在CVPR2017上的一篇工作,将pyramid pooling引入到场景解析的分割任务中,取得很好的
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摘要:paper: "U Net: Convolutional Networks for Biomedical Image Segmentation" code: "PyTorch" ,官方公布的matlab的caffe版本 如果需要看网络结构,可以用这个prototxt文件 "unet prototxt
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摘要:paper: Strip Pooling: Rethinking Spatial Pooling for Scene Parsing code: https://github.com/Andrew-Qibin/SPNet Abstract CVPR2020的一篇文章,通过改进空间池化层来优化场景分割
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摘要:paper: "Learning Lightweight Lane Detection CNNs by Self Attention Distillation" code: "https://github.com/cardwing/Codes for Lane Detection" Abstract
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摘要:图森和CMU的合作工作。 论文链接[https://arxiv.org/abs/1702.08502](https://arxiv.org/abs/1702.08502) 主要提出DUC(dense upsampling convolution)和HDC(hybrid dilated convolu
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