The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

DeepLab 3+, on the other hand, prioritizes segmentation speed. Trained on the open source PASCAL VOC 2012 image corpus using Google’s TensorFlow machine learning framework on the latest ...

A new technical paper titled “A Universal AI-Powered Segmentation Model for PCBA and Semiconductor” was published by researchers at Nordson Corporation. “This paper introduces a novel universal deep ...

Meta's image segmentation model could have a lot of applications, including in AR and VR. Meta's new AI model can identify objects in images. Here's why that matters | ZDNET ...

Cardiovascular diseases are a leading health concern in Hong Kong, prompting many to undergo regular heart check-ups for ...

A neural field network can create a continuous 3D model from a limited number of 2D images, and it does it without being trained on other samples.

This essay on the lessons we learned about deep learning systems and gender recognition is one part of a three-part examination of issues relating to machine vision technology. See also: Interactive: ...