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Search results for semantic segmentation autonomous driving
autonomous-driving
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semantic-segmentation
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22 search results found
Paddleseg
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7,961
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
Deeplabv3
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388
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
Vpgnet
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337
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
Self Driving Golf Cart
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246
Be Driven 🚘
Segmentation
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236
TensorFlow implementation of ENet, trained on the Cityscapes dataset.
Openvehiclevision
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118
An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation
Occformer
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109
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction
Keras Icnet
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85
Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images
Awesome Computer Vision Resources
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70
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
Cobevt
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58
[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
Rail_marking
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48
proof-of-concept program that detects rail-track with semantic segmentation for autonomous train system
Sups
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28
Official paper link and data access of the SUPS dataset.
Mdil Ss
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28
Code repository for the work "Multi-Domain Incremental Learning for Semantic Segmentation", accepted at WACV 2022
Muad Dataset
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23
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]
Baidu_lane_segmentation
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14
4th place solution in Baidu Autonomous Driving Lane Segmentation
Rodsnet
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12
RODSNet: End-to-end Real-time Obstacle Detection Network for Safe Self-driving via Multi-task Learning
Bomuda Boundless Multi Source Domain Adaptive Segmentation In Unstructured Environments
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8
Codebase for the paper 'BoMuDA: Boundless Multi-Source Domain Adaptive Segmentation in Unstructured Environments'
Deeplabv3plus Muad Pytorch
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8
Deeplab V3+ on the MUAD dataset
Ground Aware Seg
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7
Ground-Aware Point Cloud Semantic Segmentation for Autonomous Driving. ACM Multimedia 2019.
Semantic Unsup Flow Release
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6
[ICCV 2023] Official PyTorch implementation of our paper SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving
Semanticsegmentation
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5
Segment_lane_lines
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5
ROS package for semantic segmentation of lane lines, and homographic transformation of the segmented image for rebroadcasting as a point cloud.
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1-22 of 22 search results
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