基于物联网技术的跨模态图像修改方法研究

Research on Cross-Modal Image Modification Methods Based on Internet of Things Technology

探讨基于物联网技术的跨模态图像修改方法。通过部署多模态传感器采集场景数据,利用深度学习和注意力机制进行跨模态融合,引入上下文感知机制实现智能图像编辑。实验结果表明,所提方法在修改质量和语义一致性方面均优于基线方法,同时保持了较高的计算效率。

This study aims to explore cross-modal image modification methods based on Internet of Things technology.By deploying multi-modal sensors to collect scene data,utilizing deep learning and attention mechanisms for inter-modal fusion,and introducing context-aware mechanisms for intelligent image editing,the experimental results demonstrate that the proposed method outperforms baseline methods in terms of modification quality and semantic consistency,while maintaining high computational efficiency.