Corporate AI slop feels inescapable in 2025. From website banner ads to outdoor billboards, images generated by businesses using AI tools surround me. Hell, even the bar down the street posts happy ...

Modern multimodal AI models can recognize objects, describe scenes, and answer questions about images and short video clips, but they struggle with long-form and large-scale visual data, where ...

Abstract: Semantic segmentation is a fundamental task in computer vision and finds extensive applications in scene understanding, medical image analysis, and remote sensing. With the advent of deep ...

Market.us Scoop, we strive to bring you the most accurate and up-to-date information by utilizing a variety of resources, including paid and free sources, primary research, and phone interviews. Learn ...

MatAnyone only requires that you provide the first single frame alpha mask (solid white for the subject against a solid black background for the stuff you don't want in the final output). My example ...

All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission. AI-Generated Image. Credit: ...

Labels, particularly when applied to human beings and their behavior, can have a surprisingly polarizing effect, regardless of the label’s efficacy. Some people resist labels altogether, while others ...

The Missouri Division of Cannabis Regulation has released its annual report for Performance Year 2024, which ran from Dec. 1, 2023, through Nov. 30, 2024. The division that regulates marijuana sales ...

Abstract: Semi-supervised learning has proven highly effective in tackling the challenge of limited labeled training data in medical image segmentation. In general, current approaches, which rely on ...