Image Credit: Danielle Futselaar / Breakthrough Listen.

Detecting objects in foggy scenes remains a persistent challenge, as detectors trained for fair weather often struggle with foggy data due to blurring effects. Previous methods based on domain ...

With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

Have you read the docs?Agents SDK docs - Yes Have you searched for related issues? Others may have had similar requests - Yes, no similar issues. With the current Realtime session implementation, when ...

In the fast-moving digital landscape, where gig workers expect instant payouts and companies handle millions of microtransactions daily, the need for robust real-time fraud detection has never been ...

Software platform uses AI and machine learning for rapid fusing of complex data into shared, real-time view of battlespace for faster, smarter and safer action under fire Leonardo DRS, Inc. (NASDAQ: ...

Why it matters: For indie developers and artists questioning whether stylized "AI lookalike" worlds can move beyond concept art, Starhelm's Project Shadowglass demonstrates they can – blurring the ...

Abstract: Small object detection in uncrewed aerial vehicle (UAV) images is one of the critical aspects for its widespread application. However, due to limited feature extraction for small objects and ...

This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...