Efficient Inference

DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers

This paper presents DS-Net++, a novel framework for efficient inference in neural networks. Dynamic weight slicing allows for scalable performance across multiple architectures like CNNs and vision transformers. The method delivers up to 61.5% …