Introduces the SAGE South Asian GI endoscopy dataset and reports large performance drops in multi-class classifiers and large multimodal models due to geographic population shift.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A new quality-guided approach for semi-supervised medical image segmentation that trains a predictor on synthetic errors to enhance pseudolabel handling.
citing papers explorer
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SAGE: An Expert-Annotated South Asian GI Endoscopy Dataset for Multimodal Learning and Hallucination Analysis
Introduces the SAGE South Asian GI endoscopy dataset and reports large performance drops in multi-class classifiers and large multimodal models due to geographic population shift.
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Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
A new quality-guided approach for semi-supervised medical image segmentation that trains a predictor on synthetic errors to enhance pseudolabel handling.