most citedPolarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion

108 citations · 108 across the 1 of their papers we have counts for

collaborators

6 papers

cs.CV2020108 cited

Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion

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. However, traditional S…

cs.CV2020

Universal Semantic Segmentation for Fisheye Urban Driving Images

Yaozu Ye, Kailun Yang, Kaite Xiang +2

Semantic segmentation is a critical method in the field of autonomous driving. When performing semantic image segmentation, a wider field of view (FoV) helps to obtain more informa…

cs.CV2019

DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing

Kailun Yang, Xinxin Hu, Hao Chen +3

Semantically interpreting the traffic scene is crucial for autonomous transportation and robotics systems. However, state-of-the-art semantic segmentation pipelines are dominantly…

cs.CV2019

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion

Lei Sun, Kaiwei Wang, Kailun Yang +1

Currently, semantic segmentation shows remarkable efficiency and reliability in standard scenarios such as daytime scenes with favorable illumination conditions. However, in face o…

cs.CV2019

Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant Systems

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 navigatio…

cs.CV2019

A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network

Kaite Xiang, Kaiwei Wang, Kailun Yang

Semantic Segmentation (SS) is the task to assign a semantic label to each pixel of the observed images, which is of crucial significance for autonomous vehicles, navigation assista…