Zhenfeng Su

Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective

While prior studies have successfully compressed vision Transformers (ViTs) through various pruning techniques, most have concentrated on width pruning to achieve significant reductions in model size. Depth pruning, which involves the removal of entire layers from a ViT, is notoriously difficult for…