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Found 6 papers, 5 papers with code
Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion
Semantic Segmentation (SS) is promising for outdoor scene perception in safety-critical applications like autonomous vehicles, assisted navigation and so on.
Ranked #5 on
Semantic Segmentation
on UPLight
Universal Semantic Segmentation for Fisheye Urban Driving Images
In this paper, a seven degrees of freedom (DoF) augmentation method is proposed to transform rectilinear image to fisheye image in a more comprehensive way.
DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing
Semantically interpreting the traffic scene is crucial for autonomous transportation and robotics systems.
Ranked #35 on
Semantic Segmentation
on DensePASS
See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion
However, in face of adverse conditions such as the nighttime, semantic segmentation loses its accuracy significantly.
Ranked #8 on
Semantic Segmentation
on Nighttime Driving
A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network
Furthermore, we make a detailed analysis and comparison of the three proposed methods on the promotion of recall rate.
Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant Systems
Semantic Segmentation (SS) is a task to assign semantic label to each pixel of the images, which is of immense significance for autonomous vehicles, robotics and assisted navigation of vulnerable road users.
