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First challenge on raindrop and reflection removal for autonomous driving concludes

A new workshop paper details the results of the First Challenge on Unified Removal of Raindrops and Reflections (LoViF 2026). This challenge focused on a common issue in autonomous driving: the degradation of visual data by combined raindrop and reflection effects on rainy days. The competition saw 149 registered participants and resulted in 12 valid submissions, all evaluated on the RDRF dataset, contributing to advancements in this specific area of computer vision. AI

IMPACT This research contributes to improving visual perception for autonomous driving systems in adverse weather conditions.

RANK_REASON The cluster is about a published workshop paper detailing a challenge and its results in a specific computer vision domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

First challenge on raindrop and reflection removal for autonomous driving concludes

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The cluster is about a published workshop paper detailing a challenge and its results in a specific computer vision domain. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zewei He, Xi Tong, Yu Chen, Xingyu Liu, Xin Li, Zepeng Wang, Jiagao Hu, Fuhao Li, Yuxuan Chen, Fei Wang, Daiguo Zhou, Minmin Yi, Chuanrui Zhang, Liwen Zhang, Yeongjin Jeong, Hyunjin Cho, Jiwon Lee, Minsang Kim, Jae Woong Soh, Jin-Hui Jiang, Rong-Lin Jian… ·

    LoViF 2026 The First Challenge on Unified Removal of Raindrops and Reflections: Methods and Results

    arXiv:2608.22723v1 Announce Type: new Abstract: This workshop paper comprehensively reviews the First Challenge on Unified Removal of Raindrops and Reflections. The challenge aims to address a frequently encountered practical problem in the field of autonomous driving, i.e., rain…