Abstract: Semantic segmentation tasks naturally require high-resolution information for pixel-wise segmentation and global context information for class prediction. While existing vision transformers ...

Abstract: In ultra-high resolution image segmentation task for robotic platforms like AAVs and autonomous vehicles, existing paradigms process a downsampled input image through a deep network and the ...

YouTube announced in its latest blog post that users who stream videos on their platform via televisions and other larger screens are seeing five new features now, including the new Super Resolution ...

Astronomers have created a new colorized radio view of the Milky Way's galactic plane. Credit: International Centre for Radio Astronomy Research Astronomers in Australia have created the largest and ...

Michelle Ehrhardt is Lifehacker's Associate Tech Editor. She has a bachelor's degree in history from Earlham College, where she also double majored in theatre. She also holds an MFA in game design ...

Google Ads added image quality checks to its Recommendations tab, nudging advertisers to upgrade low-performing visuals. How it works. The system now scans uploaded assets and suggests edits such as ...

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring, and personalized treatment planning. In disciplines like ...

Accurate segmentation is crucial for clinical applications, but existing models often assume fixed, high-resolution inputs and degrade significantly when faced with lower-resolution data in real-world ...

Google said on Thursday it’s adding an image-to-video generation feature to its Veo 3 AI video generator through its Gemini app. The company had already rolled out this feature in its AI-powered video ...