FryNet combines RGB and thermal imaging with adversarial regularization to segment oil areas, classify usability, and predict oxidation levels like PV and Totox with high accuracy on video data.
An image is worth 16x16 words: Transformers for image recognition at scale
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
KL-regularised Group DRO improves F1 scores for multi-site COVID-19 CT classification and gender-fair four-class lung pathology recognition over prior challenge baselines.
citing papers explorer
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FryNet: Dual-Stream Adversarial Fusion for Non-Destructive Frying Oil Oxidation Assessment
FryNet combines RGB and thermal imaging with adversarial regularization to segment oil areas, classify usability, and predict oxidation levels like PV and Totox with high accuracy on video data.
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Towards Fair and Robust Volumetric CT Classification via KL-Regularised Group Distributionally Robust Optimisation
KL-regularised Group DRO improves F1 scores for multi-site COVID-19 CT classification and gender-fair four-class lung pathology recognition over prior challenge baselines.