Comparison of Image Processing Models in Quark Gluon Jet Classification

arXiv:2602.00141 · physics.data-an, cs.CV, cs.LG, hep-ex · Submitted 2026-01-29 · Read on arXiv

physics.data-an, cs.CV, cs.LG, hep-ex

Submitted: 2026-01-29

Updated: 2026-09-17

Comments: 17 pages, 10 Figures

DOI: 10.1088/1402-4896/aea827

Code: https://github.com/huggingface/pytorch-image-models

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 69× in this paper · explained in 2 episodes
• Fine-Tuning — 49× in this paper · explained in 5 episodes
• AUC — 30× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Convolutional Neural Network — 7× in this paper
• Transformer Models — 5× in this paper · explained in 2 episodes
• Attention Mechanism — 4× in this paper · explained in 3 episodes
• Convolutional Neural Networks (CNNs) — 4× in this paper · explained in 2 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Contrastive Learning — 3× in this paper · explained in 5 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• At the Large Hadron Collider — 2× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• High Energy Physics — 2× in this paper
• Representation Learning — 2× in this paper · explained in 2 episodes
• Transformer Architecture — 2× in this paper · explained in 2 episodes
• Vision Transformer (ViT) — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes

Sources

• Deep learning in color: towards automated quark/gluon jet discrimination

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