Researchers developed a bird's-eye-view architecture combining collaborative distillation and multi-domain attention to ...

Researchers evaluating text-to-image generative models found that automated tools struggle to reliably measure subtle ...

Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because the new ...

Teaching machine learning tools to detect specific objects in a specific image and discount others is a 'game-changer' that could lead to advancements in cancer detection, according to researchers.

Image classification is one of AI’s most common tasks, where a system is required to recognize an object from a given image. Yet real life requires us to recognize not a single standalone object but ...

IDDEA illustrates the shift from generic category recognition to variant-level identification, enabling defense AI systems to ...

Co-Salient Object Detection (CoSOD) aims at detecting common salient objects within a group of relevant source images. Most of the latest works employ the attention mechanism for finding common ...

Engineering samples are planned for fiscal 2026 as NTT targets road and airport monitoring with event-triggered vision-language analysis.

Segment Anything, recently released by Facebook Research, does something that most people who have dabbled in computer vision have found daunting: reliably figure out which pixels in an image belong ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...