摘要
Robotics&Machine Learning Daily News Daily News的新闻记者兼新闻编辑-来自华盛顿特区，NewsRx Journalist报道说，发明者林（华盛顿州克莱德希尔）；刘（加利福尼亚州圣克拉拉）；王（加利福尼亚州森尼维尔）；张（Adelaide，AU）；张建明（加利福尼亚州弗里蒙特，202年5月23日在线提交专利申请 2024. 本专利申请没有受让人。新闻编辑从发明者提供的背景信息中获得了以下引文：“以下内容一般涉及机器学习，特别是涉及使用机器学习模型进行图像处理。”机器学习模型已经被训练用于各种图像处理TAS。例如，目标检测任务可能涉及在图像中定位目标，语义分割预测图像中对象或区域的每个像素的类标签，实例分割是一项与目标检测和语义分割相关的图像处理任务，涉及识别图像中出现的对象和元素的一个或多个实例。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – From Washington, D.C., NewsRx journali sts report that a patent application by the inventors Lin, Zhe (Clyde Hill, WA, US); Liu, Qing (Santa Clara, CA, US); Wang, Yilin (Sunnyvale, CA, US); Zhang, Bo wen (Adelaide, AU); Zhang, Jianming (Fremont, CA, US), filed on November 18, 202 2, was made available online on May 23, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: “The following relates generally to machine learning, and m ore specifically to using a machine learning model for image processing. “Machine learning models have been trained for a variety of image processing tas ks. For example, object detection tasks can involve localizing objects within an image, which can further involve predicting a bounding box around each instance of an object in an image. Semantic segmentation predicts a class label for each pixel of an object or region in an image, where different object instances are not taken into account. Instance segmentation is an image processing task relate d to object detection and semantic segmentation that involves identifying one or more instances of objects and elements that appear in an image.
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