Spatial CNN for traffic lane detection (AAAI2018)
☆863Jan 16, 2026Updated 6 months ago
Alternatives and similar repositories for SCNN
Users that are interested in SCNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)☆1,075Jun 21, 2022Updated 4 years ago
- Unofficial implemention of lanenet model for real time lane detection☆2,562Dec 8, 2023Updated 2 years ago
- Processing annotations for CULane dataset.☆178Jul 4, 2023Updated 3 years ago
- VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)☆504Apr 14, 2020Updated 6 years ago
- A paper list of lane detection.☆3,063Aug 16, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)☆664May 14, 2020Updated 6 years ago
- Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3☆595May 28, 2021Updated 5 years ago
- Pytorch implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding"☆263Apr 28, 2023Updated 3 years ago
- Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)☆2,048Dec 14, 2022Updated 3 years ago
- Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)☆695Oct 9, 2022Updated 3 years ago
- Pytorch implementation of SCNN☆44Apr 12, 2019Updated 7 years ago
- Script for generating Spatial CNN caffe prototxt file.☆26Jun 12, 2018Updated 8 years ago
- Code for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression" (ICPR 2020)☆315May 31, 2021Updated 5 years ago
- ☆211Sep 3, 2020Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree☆440May 8, 2020Updated 6 years ago
- PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet…