3 papers
cs.CV2026
Style-Based Neural Architectures for Real-Time Weather Classification
Hamed Ouattara, Pascal Houssam Salmane, Pierre Duthon +2
In this paper, we present three neural network architectures designed for real-time classification of weather conditions (sunny, rain, snow, fog) from images. These models, inspire…
cs.CV2026
Stylistic-STORM (ST-STORM) : Perceiving the Semantic Nature of Appearance
Hamed Ouattara, Pierre Duthon, Pascal Houssam Salmane +2
One of the dominant paradigms in self-supervised learning (SSL), illustrated by MoCo or DINO, aims to produce robust representations by capturing features that are insensitive to c…
cs.CV2026
Heuristic Style Transfer for Real-Time, Efficient Weather Attribute Detection
Hamed Ouattara, Pierre Duthon, Pascal Houssam Salmane +2
We present lightweight and efficient architectures to detect weather conditions from RGB images, predicting the weather type (sunny, rain, snow, fog) and 11 complementary attribute…