The analysis of spot-like structures is a widespread task in microscopy image analysis. Existing solutions are typically ...

This study provides fundamental insights into the mechanisms of visual object categorization in primates through a scalable behavioral framework for assessing category learning and generalization in ...

In 2023, a U.S. Air National Guard F-16CM shot down a UAP, or unidentified aerial phenomenon, over Lake Huron. Newly released footage appears to show that the object was likely a balloon. On Feb. 12, ...

Deep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance. However, the current Transformer ...

To coincide with the release of Samsung's new Galaxy S26 family of phones, Google is pushing out a small but meaningful update to Circle to Search. As a reminder, Circle to Search allows you to carry ...

Objects in real-world scenes are often poorly or partially visible, for example because they are occluded or appear in the periphery. An additional challenge of real-world vision is that it is dynamic ...

Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.

Abstract: This study demonstrates the feasibility of using Unmanned Aerial Systems (UAS) photogrammetry combined with object-based image analysis (OBIA) and machine learning algorithms to detect ...

Design tool Figma launched new AI-powered image-editing features today, including the ability to remove and isolate objects and expand images. The company said that these features will save the hassle ...

I’m Adam Conway, an Irish technology fanatic with a BSc in Computer Science and I'm XDA’s Lead Technical Editor. My Bachelor’s thesis was conducted on the viability of benchmarking the non-functional ...