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Multimodal OOD detection gets a serious upgrade: a dual-branch approach boosts performance by nearly 25% on endoscopic images.
Finally, a comprehensive, multi-center dataset with dual scoring metrics and expert-generated captions is available to advance clinically meaningful multimodal algorithms for ulcerative colitis scoring in endoscopy.
By generating contrasting inferences about hatefulness, a new adversarial reasoning approach significantly boosts hateful video detection, outperforming existing methods by up to 7% in hate class recall.
