ARXIV:2604.18251 · COMPUTER VISION · SUBMITTED 21 APR · 04:16 UTC · FRESHNESS STALE

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Style-Based Neural Architectures for Real-Time Weather Classification

Hamed Ouattara · Pascal Houssam Salmane · Pierre Duthon · Frédéric Bernardin · Omar Ait Aider · arXiv

Style-based neural architectures, including Multi-PatchGAN and truncated ResNet50 variants with attention, for real-time weather classification that generalize to other appearance-based tasks.

Ship in 2-4 weeks›Score7.0Evidence unverified

Opportunity summary

Pain Style-based neural architectures, including Multi-PatchGAN and truncated ResNet50 variants with attention, for real-time weather classification that generalize to other appearance-based tasks.

Evidence 0 refs | 3 sources | 50% coverage

Blocker Evidence unverified

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PROBLEM

Style-based neural architectures, including Multi-PatchGAN and truncated ResNet50 variants with attention, for real-time weather classification that generalize to other appearance-based tasks. These models, inspired by recent advances in style transfer, aim to capture the…

METHOD

Full abstract

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, inspired by recent advances in style transfer, aim to capture the stylistic elements present in images. One model, called "Multi-PatchGAN", is based on PatchGANs used in well-known architectures such as Pix2Pix and CycleGAN, but here adapted with multiple patch sizes for detection tasks. The second model, "Truncated ResNet50", is a simplified version of ResNet50 retaining only its first nine layers. This truncation, determined by an evolutionary algorithm, facilitates the extraction of high-frequency features essential for capturing subtle stylistic details. Finally, we propose "Truncated ResNet50 with Gram Matrix and Attention", which computes Gram matrices for each layer during training and automatically weights them via an attention mechanism, thus optimizing the extraction of the most relevant stylistic expressions for classification. These last two models outperform the state of the art and demonstrate remarkable generalization capability on several public databases. Although developed for weather detection, these architectures are also suitable for other appearance-based classification tasks, such as animal species recognition, texture classification, disease detection in medical imaging, or industrial defect identification.

RESULT

ScienceToStartup currently rates this 7.0/10 on the public viability pass. These last two models outperform the state of the art and demonstrate remarkable generalization capability on several public databases. Code availability is flagged in…

WHY NOW

Computer Vision moved forward this cycle; last verified April 2026. Public score 7.0/10. Production flags indicate code availability.

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Opportunity summary

Score7.0

PainStyle-based neural architectures, including Multi-PatchGAN and truncated ResNet50 variants with attention, for real-time weather classification that generalize to other appearance-based tasks.

Evidence0 refs | 3 sources | 50% coverage

Blockerno shell-level blocker reported

Analysis summary

Style-based neural architectures, including Multi-PatchGAN and truncated ResNet50 variants with attention, for real-time weather classification that generalize to other appearance-based tasks.

VerifiedSource: PDF linkedVerifiedPaperPack: citation fields availablePartialProof: unverified proof status

Style-Based Neural Architectures for Real-Time Weather Classification

Hamed Ouattara · Pascal Houssam Salmane · Pierre Duthon · Frédéric Bernardin · Omar Ait Aider · arXiv

Style-based neural architectures, including Multi-PatchGAN and truncated ResNet50 variants with attention, for real-time weather classification that generalize to other appearance-based tasks.

Competitive landscape

Style-based neural architectures, including Multi-PatchGAN and truncated ResNet50 variants with attention, for real-time weather classification that generalize to other appearance-based tasks.

Segment

Computer Vision

Adoption evidence

No public code link in the paper record yet

Commercial read

7.0/10 public viability

Direct

not classified

Adjacent

not classified

Substitute

not classified

Unknown

not classified

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Competitive landscape

Style-based neural architectures, including Multi-PatchGAN and truncated ResNet50 variants with attention, for real-time weather classification that generalize to other appearance-based tasks.

Segment

Computer Vision

Adoption evidence

No public code link in the paper record yet

Commercial read

7.0/10 public viability

Direct

not classified

Adjacent

not classified

Substitute

not classified

Unknown

not classified

Style-Based Neural Architectures for Real-Time Weather Classification

Style-Based Neural Architectures for Real-Time Weather Classification

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