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.
Data-driven distributionally robust optimization using the wasserstein metric.Mathematical Programming, 171:115–166
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.