摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-调查人员发布关于马学习-计算智能的新报告。根据NewsRx记者从中华人民共和国昆明发回的新闻报道，研究表明，“在红外和可见光图像融合领域，目标是从源图像中提取突出目标和复杂纹理，以产生具有高度视觉冲击力的融合图像。虽然基于深度学习的FER融合方法具有端到端融合的优势，但由于缺乏地面真相，它们的设计复杂性变得更加复杂。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning - Computational Intelligence. According to news originating from Kunming, People’s Republic of China, by NewsRx correspondents, research stated, “In the domain of infrared and visible image fusion, the objective is to extract prominent targets and intricate textures from source images to produce a fused image with heightened visual impact. While deep learning-based fusion methods of fer the advantage of end-to-end fusion, their design complexities are compounded by the absence of ground truth.”
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