Mitigating class-tail undercoverage in medical vision-language models under clinical shift
Read the original at arxiv.org→arXiv:2607.28696v1 Announce Type: new Abstract: Medical vision-language models (VLMs) can retain high observed marginal coverage after clinical shift while substantially under-covering an individual disease class....
Original headline: "Mitigating Class-Tail Undercoverage in Medical Vision-Language Models under Clinical Shift"
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- Aug 3, 04:00 UTC arXiv cs.LG lead source Mitigating Class-Tail Undercoverage in Medical Vision-Language Models under Clinical Shift