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By encoding anatomical contours as learnable query embeddings, CGQR-Net achieves state-of-the-art cardiac ultrasound segmentation by explicitly incorporating structural priors, overcoming limitations of purely appearance-based methods.
Finally, a way to measure how efficiently a sketch conveys meaning, moving beyond simple recognition accuracy.
Image-to-image editors silently weaken or ignore your edit instructions based on the subject's race, gender, and age, revealing surprising demographic biases.
