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Found 3 papers, 2 papers with code
SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images
This research paper presents an innovative multi-task learning framework that allows concurrent depth estimation and semantic segmentation using a single camera.
Ranked #1 on
Monocular Depth Estimation
on Cityscapes
Real-Time Semantic Segmentation using Hyperspectral Images for Mapping Unstructured and Unknown Environments
In our work we propose the use of hyperspectral images for real-time pixel-wise semantic classification and segmentation, without the need of any prior training data.
A Game-Theoretic Model of Human Driving and Application to Discretionary Lane-Changes
In this paper we consider the application of Stackelberg game theory to model discretionary lane-changing in lightly congested highway setting.
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