1 code implementation • 26 Nov 2020 • Kaite Xiang, Kailun Yang, Kaiwei Wang
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
1 code implementation • 31 Jan 2020 • Yaozu Ye, Kailun Yang, Kaite Xiang, Juan Wang, Kaiwei Wang
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.
1 code implementation • 17 Sep 2019 • Kailun Yang, Xinxin Hu, Hao Chen, Kaite Xiang, Kaiwei Wang, Rainer Stiefelhagen
Semantically interpreting the traffic scene is crucial for autonomous transportation and robotics systems.
Ranked #35 on Semantic Segmentation on DensePASS
no code implementations • 16 Aug 2019 • Lei Sun, Kaiwei Wang, Kailun Yang, Kaite Xiang
However, in face of adverse conditions such as the nighttime, semantic segmentation loses its accuracy significantly.
Ranked #8 on Semantic Segmentation on Nighttime Driving
1 code implementation • 26 Jul 2019 • Kaite Xiang, Kaiwei Wang, Kailun Yang
Furthermore, we make a detailed analysis and comparison of the three proposed methods on the promotion of recall rate.
1 code implementation • 25 Jul 2019 • Kaite Xiang, Kaiwei Wang, Kailun Yang
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.