首页|Researchers Submit Patent Application, 'Amodal Instance Segmentation Using Diffu sion Models', for Approval (USPTO 20240169541)
Researchers Submit Patent Application, 'Amodal Instance Segmentation Using Diffu sion Models', for Approval (USPTO 20240169541)
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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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