Robotics & Machine Learning Daily News2024,Issue(Jun.13) :35-36.

Studies from Yunnan University Have Provided New Information about Computational Intelligence (Explicit and Implicit Box Equivariance Learning for Weakly-superv ised Rotated Object Detection)

云南大学的研究为计算智能提供了新的信息(弱超视旋转目标检测的显式和隐式盒等方差学习)

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :35-36.

Studies from Yunnan University Have Provided New Information about Computational Intelligence (Explicit and Implicit Box Equivariance Learning for Weakly-superv ised Rotated Object Detection)

云南大学的研究为计算智能提供了新的信息(弱超视旋转目标检测的显式和隐式盒等方差学习)

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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-调查人员发布了关于马学习-计算智能的新报告。根据NewsRx记者来自中国云南的新闻报道,研究表明:“旋转目标检测已经成为传统水平框(HBox)目标检测的首选方案,但现有的大多数检测数据集仍然使用HBox进行注释。”

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 reporting origina ting from Yunnan, People's Republic of China, by NewsRx correspondents, research stated, “Rotated object detection has emerged as a preferred alternative to the conventional Horizontal Box (HBox) object detection in various tasks. However, the majority of existing detection datasets are still annotated using HBox.”

Key words

Yunnan/People's Republic of China/Asia/Computational Intelligence/Machine Learning/Yunnan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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