摘要
由一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器学习-智能系统的最新研究结果已经发表。根据NewsRx记者在中华人民共和国大连的新闻报道，Research State"为了应对不同的模式背景元素、复杂的细节和复杂的纹理所带来的挑战，在民族语言模式的语义分割中，"提出了一种新的语义分割网络模型mst-Unet(Mixed Swin Transformer Unet),该模型结合了u型网络结构和多种注意机制。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Intelligent Systems have been published. According to news reporting origi nating in Dalian, People’s Republic of China, by NewsRx journalists, research st ated, “To address the challenges posed by diverse pattern-background elements, i ntricate details, and complex textures in the semantic segmentation of ethnic cl othing patterns, this research introduces a novel semantic segmentation network model called MST-Unet (Mixed Swin Transformer Unet). The proposed model combine s a U-shaped network structure with multiple attention mechanisms.”
NETL
NSTL