Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

Abstract: Two-stage detectors are widely used in oriented object detection and have achieved high detection accuracy. However, some inconsistency issues in two-stage detectors limit their further ...

Abstract: High interclass similarity and diverse geometric configurations in high spatial resolution remote sensing images pose significant challenges for remote sensing object detection. To address ...

Summary: A new study demonstrates that some highly gifted dogs can categorize objects not just by appearance, but by how they are used. When taught words like “pull” or “fetch,” these dogs later ...

Certain dogs can not only memorize the names of objects like their favorite toys, but they can also extend those labels to entirely new objects with a similar function, regardless of whether or not ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

Astronomers are monitoring an object headed our way that may have wandered over from another star system.Scientists have discovered what might be only the third known interstellar object to pass ...

1 Research Center for Language and Cognition, School of Foreign Languages, Ningbo University of Technology, Ningbo, China 2 Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, ...

A new study questions the longstanding view that the visual system is divided into two pathways, one for object-recognition and the other for spatial tasks. Using computational vision models, ...

ABSTRACT: In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was ...