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...
Jinglei Hao, Yuting Lu, Shunzhou Wang et al.· IEEE Transactions on Geoscie...· 0 citations
Gaze Object Prediction (GOP) aims to localize and recognize the objects humans attend to, a task crucial for understanding human-centric interactions. However, existing methods are typically trained under a closed-vocabulary paradigm with a fixed label space and evaluated on scene-specific datasets, limiting their appl...
