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Comparison of Image Processing Models in Quark Gluon Jet Classification
computer-vision-and-pattern-recognitiondata-analysishigh-energy-physics-experimentmachine-learningstatistics-and-probability
Quark-gluon discrimination provides a useful test case for studying how different machine-learning architectures learn the spatial structure of QCD radiation. In this work, we compare convolutional neural network (CNN), Vision Transformers (ViT), and hierarchical Swin Transformers using the same thr
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