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CurveLanes is a new benchmark lane detection dataset with 150K lanes images for difficult scenarios such as curves and multi-lanes in traffic lane detection. It is collected in real urban and highway scenarios in multiple cities in China.
deep learning for image processing including classification and object-detection etc.
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此存储库包含 Gated2Depth:来自门控图像的实时密集激光雷达的代码和数据。
Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
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Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
Unofficial Implementation of VisNet: Deep Convolutional Neural Networks for Forecasting Atmospheric Visibility
个人中文简历 Latex 源码 https://hijiangtao.github.io/
Retrieval of Multiple Environmental Parameters from Images with Deep Learning
Code for Learning Monocular Dense Depth from Events paper (3DV20)
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)
Code for https://unsupervised-llamas.com
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.