A survey categorizing weather restoration methods for smart transportation into traditional priors, CNNs, transformers, diffusion models, and VLMs, with discussions on datasets, night-time challenges, and future directions.
Scanet: Self- paced semi-curricular attention network for non-homogeneous image dehazing,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Clear Roads, Clear Vision: Advancements in Multi-Weather Restoration for Smart Transportation
A survey categorizing weather restoration methods for smart transportation into traditional priors, CNNs, transformers, diffusion models, and VLMs, with discussions on datasets, night-time challenges, and future directions.