Although spiking neural networks (SNNs) provide an energy-efficient alternative to artificial neural networks (ANNs), their application to remote sensing image dehazing remains limited. A key challenge arises from the coupling between haze-induced high-frequency attenuation and discrete spike thresholding. This interac...
Jie Shao, Jiaqi Ma, Wen-Wen Min et al.· 0 citations
SkillIR is proposed, a skill-guided framework that represents restoration experience as degradation-centered action evidence rather than complete tool-use trajectories rather than complete tool-use trajectories and improves restoration quality and enables more reliable and effective tool use.
Jie Shao, Sheng-Kai Hu, Xu Zhang et al.· 0 citations
Rain-PostEFNet is proposed, a multi-scale deep learning framework for post-processing NWP precipitation forecasts that captures meteorological features across scales and mitigates severe class imbalance in extreme precipitation forecasts.
F. Naz, Lei She, Xin-Can Sui et al.· Applied intelligence (Boston...· 0 citations
SpikeRestormer is proposed, an energy-efficient SNN for AiOIR that performs event reasoning over internally generated spike cues that delivers competitive performance against ANN-based methods and establishes new state-of-the-art results among SNN-based methods with significantly lower energy consumption.
Shengkai Hu, Jie Shao, Jiaqi Ma et al.· 1 citation
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