Robotics & Machine Learning Daily News2024,Issue(Dec.3) :160-160.

Studies from Shandong Normal University Add New Findings in the Area of Intellig ent Systems (Mix-layers semantic extraction and multi-scale aggregation transfor mer for semantic segmentation)

山东师范大学的研究增加了智能系统领域的新发现(用于语义分割的混合层语义提取和多尺度聚合转换)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :160-160.

Studies from Shandong Normal University Add New Findings in the Area of Intellig ent Systems (Mix-layers semantic extraction and multi-scale aggregation transfor mer for semantic segmentation)

山东师范大学的研究增加了智能系统领域的新发现(用于语义分割的混合层语义提取和多尺度聚合转换)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-智能系统的最新数据在一份新的报告中呈现。据新闻报道来自山东师范大学的研究报告由NewsRx记者报道,“最近,有一个研究报告说,”提出了许多用于语义分割的visio变换模型,主要是取得了令人印象深刻的成果。然而,他们缺乏挖掘内在位置和图像的通道特征和多尺度特征融合能力较差。本研究的资助者包括国家自然科学研究院创新研究组项目中国基金会。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on intelligent systems are presented in a new report. According to newsoriginating from Shandong Normal Un iversity by NewsRx correspondents, research stated, “Recently, anumber of visio n transformer models for semantic segmentation have been proposed, with the majo rityof these achieving impressive results. However, they lack the ability to ex ploit the intrinsic position andchannel features of the image and are less capa ble of multi-scale feature fusion.”Funders for this research include Innovative Research Group Project of The Natio nal Natural ScienceFoundation of China.

Key words

Shandong Normal University/Intelligent Systems/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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