Abstract: Camouflaged object detection is an essential concern in computer vision and is commonly applied in military, security, biological, and various other fields. In machine vision, camouflage ...

Abstract: Domain adaptive object detection (DAOD) aims to infer a robust detector on the target domain with the labelled source datasets. Recent studies utilize a feature extractor shared on the ...

At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could support crater dating, navigation planning and future Moon landing missions.

Empowering the world's largest computer vision ecosystem with a unified, one-click NPU hardware standard for building the next generation of real-world AI applications.

Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...

Objects Removed for Study consists of the recreation of a fraction of the Library of Ashurbanipal by a group of women from the Iraqi community in London. The original library – housed in the British ...