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VLM-hyster achieves unprecedented segmentation accuracy in hysteroscopic surgeries, outperforming all existing models and paving the way for more effective AI-assisted surgical interventions.
Achieving an FID of 1.45 in just 600 epochs, Energy-Guided Flow Matching redefines efficiency in high-quality image generation without the need for extensive model adaptations.
iFAN boosts segmentation accuracy by aligning query competition with mask quality, achieving significant performance gains without extra computational overhead.