A lightweight SAM student trained with MSE plus perceptual loss reaches SAM-like Dice scores on some medical datasets but falls behind on breast ultrasound, with no error bars or prompt details.
As shown in Table 1, the results demonstrate that KD SAM achieves comparable or superior performance to the base- line models across most datasets
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Efficient Knowledge Distillation of SAM for Medical Image Segmentation
A lightweight SAM student trained with MSE plus perceptual loss reaches SAM-like Dice scores on some medical datasets but falls behind on breast ultrasound, with no error bars or prompt details.