This review offers a unified synthesis of collaboration architectures and topologies, neural-communication co-design that treats the channel as a differentiable pipeline component, embodied action-perception loops via multi-agent reinforcement learning, and resilience mechanisms for synchronization, uncertainty quantif...
Lei Zhang, Chun-Lu Ye, Le Yang et al.· Research· 0 citations
In recent years, deep learning has driven remarkable progress in remote sensing image super resolution (RSISR). However, super-resolved images do not perform as well as original high-resolution images when directly used in remote sensing classification tasks, due to the loss of semantic information during the reconstru...
Jing-Lei Hao, Yu-Ting Lu, Shun-Zhou Wang et al.· IEEE Transactions on Geoscie...· 0 citations
This work proposes a framework that leverages text-driven object discovery to localize potential gaze candidates, with a gaze-guided selection module to pinpoint the intended target from the candidate objects, and introduces Gradient-Informed Selection Tuning (GIST) to selectively update parameters most relevant to a g...
