Wenyan Li

Compressing a giant pathology ViT into a 20x smaller ConvNeXt retains 98.8% of segmentation accuracy while delivering a 21.8x speedup, showing that lightweight convolutional backbones can match foundation-scale models via simple output-level distillation alone.