[HTML][HTML] Model compression for deep neural networks: A survey

Z Li, H Li, L Meng - Computers, 2023 - mdpi.com
Currently, with the rapid development of deep learning, deep neural networks (DNNs) have
been widely applied in various computer vision tasks. However, in the pursuit of …

Computational Complexity Reduction Techniques for Deep Neural Networks: A Survey

MB Hossain, N Gong, M Shaban - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Deep-learning (DL) has been extensively applied in multiple fields such as medicine, space,
agriculture and industry. It has proven to be able to successfully extract unique and …

Research on deep learning-based cross-disciplinary applications

Z Li, L Meng - 2022 International Conference on Advanced …, 2022 - ieeexplore.ieee.org
Currently, with the development of artificial intelligence, deep learning is widely applied in
several disciplines. This paper presents several cross-disciplinary studies on deep learning …

[HTML][HTML] Is My Pruned Model Trustworthy? PE-Score: A New CAM-Based Evaluation Metric

CG Pachon, D Renza, D Ballesteros - Big Data and Cognitive Computing, 2023 - mdpi.com
One of the strategies adopted to compress CNN models for image classification tasks is
pruning, where some elements, channels or filters of the network are discarded. Typically …

Gait Prediction for Rehabilitation Robots Based on Deep Learning

J Ren, A Wang, Z Ma, H Duan, H Li… - 2022 International …, 2022 - ieeexplore.ieee.org
Lower limb rehabilitation exoskeleton robots are used for rehabilitation training of patients
with lower limb disorders, which can help patients improve their motor ability. This paper …

Structured Pruning for Efficient Convolutional Networks

G Calleris - 2023 - webthesis.biblio.polito.it
In recent years, the size of Deep Learning models has increased. This trend has been
allowed by the advancements in this research area and the development of the hardware …