Vision transformer hybrids achieve the highest F1 and ROC-AUC among the tested models on CMS Open Data quark-gluon jet images, but the headline claim that ViT-based models beat CNNs is not supported by the standalone transformer results.
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment977, 164304 (Oct 2020)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
REJECT 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
Vision Transformers for End-to-End Quark-Gluon Jet Classification from Calorimeter Images
Vision transformer hybrids achieve the highest F1 and ROC-AUC among the tested models on CMS Open Data quark-gluon jet images, but the headline claim that ViT-based models beat CNNs is not supported by the standalone transformer results.