English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Visual surveillance technology is an indispensable functional component ofadvanced traffic management systems. It has been applied to perform trafficsupervision tasks, such as object detection, tracking and recognition. However,adverse weather conditions, e.g., fog, haze and mist, pose severe challengesfor video-based transportation surveillance. To eliminate the influences ofadverse weather conditions, we propose a dual attention and dualfrequency-guided dehazing network (termed DADFNet) for real-time visibilityenhancement. It consists of a dual attention module (DAM) and a high-lowfrequency-guided sub-net (HLFN) to jointly consider the attention and frequencymapping to guide haze-free scene reconstruction. Extensive experiments on bothsynthetic and real-world images demonstrate the superiority of DADFNet overstate-of-the-art methods in terms of visibility enhancement and improvement indetection accuracy. Furthermore, DADFNet only takes $6.3$ ms to process a 1,920* 1,080 image on the 2080 Ti GPU, making it highly efficient for deployment inintelligent transportation systems.

DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation