To tackle the complexity and limited applicability of high-precision segmentation models for
damaged road markings, this study proposes a Multi-level Adaptive Lightweight Network …

While the Vision Transformer (ViT) architecture gains prominence in computer vision and
attracts significant attention from multimedia communities, its deficiency in prior knowledge …

Abstract Neural Architecture Search (NAS) has achieved promising results in many
domains. However, the enormous computational burden consumed by the NAS procedure …

Despite their high accuracy, complex neural networks demand significant computational
resources, posing challenges for deployment on resource-constrained devices such as …

In this paper, we propose a novel method for compressing and optimizing deep neural
networks through channel pruning based on spectral norm. As deep learning models grow …