Retraining-Free Depth Pruning of Vision Transformers: A Cross Domain Study of Layer Redundancy

Transformer architectures have achieved strong results in natural language processing and computer vision, but their deployment is limited by high computational, memory and storage costs, motivating research into model compression techniques, such as pruning, while preserving performance. Prior work