An Empirical Study of Attention Networks for Semantic Segmentation

no code implementations • 19 Sep 2023 • Hao Guo, Hongbiao Si, Guilin Jiang, Wei zhang, Zhiyan Liu, Xuanyi Zhu, xulong Zhang, Yang Liu

What's more, various methods utilize attention in semantic segmentation, but the conclusion of these methods is lacking.

Segmentation Semantic Segmentation

In-situ Model Downloading to Realize Versatile Edge AI in 6G Mobile Networks

no code implementations • 7 Oct 2022 • Kaibin Huang, Hai Wu, Zhiyan Liu, Xiaojuan Qi

We further propose a virtualized 6G network architecture customized for deploying in-situ model downloading with the key feature of a three-tier (edge, local, and central) AI library.

Deep Unsupervised Learning for Joint Antenna Selection and Hybrid Beamforming

no code implementations • 6 Jun 2021 • Zhiyan Liu, Yuwen Yang, Feifei Gao, Ting Zhou, Hongbing Ma

In this paper, we propose a novel deep unsupervised learning-based approach that jointly optimizes antenna selection and hybrid beamforming to improve the hardware and spectral efficiencies of massive multiple-input-multiple-output (MIMO) downlink systems.

Quantization