Oct. 13, 2022, 1:17 a.m. | Junhong Lin, Nanfeng Jiang, Zhentao Zhang, Weiling Chen, Tiesong Zhao

cs.CV updates on arXiv.org arxiv.org

Snow removal aims to locate snow areas and recover clean images without
repairing traces. Unlike the regularity and semitransparency of rain, snow with
various patterns and degradations seriously occludes the background. As a
result, the state-of-the-art snow removal methods usually retains a large
parameter size. In this paper, we propose a lightweight but high-efficient snow
removal network called Laplace Mask Query Transformer (LMQFormer). Firstly, we
present a Laplace-VQVAE to generate a coarse mask as prior knowledge of snow.
Instead of …

arxiv prior query snow transformer

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US