Yu-Jie Yao

Achieving a 3.09 percentage-point accuracy gain while reducing model size by 80% demonstrates the power of cross-architecture knowledge distillation in precision agriculture.

Counterintuitively, simply smoothing boundary probabilities in a localized manner can dramatically improve annotation-free skin lesion segmentation, rivaling supervised methods on some datasets.