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A small, trainable module can dramatically improve localization accuracy in surgical video analysis, achieving the highest STG score on MedVidBench without retraining existing models.
Reconstructing 3D scenes from images obscured by smoke and extreme darkness is now significantly more achievable, thanks to insights gleaned from the NTIRE 2026 challenge.
