Abstract: Bounding Box Regression (BBR) plays a critical role in object detection by refining the predicted location and size of objects to enhance model accuracy. This process involves adjusting the ...

Our work focuses on recycling bounding box labels for object detection. The key to our approach is to propose a set of auxiliary tasks that are relevant but not identical to object detection. They ...

Human Players,Intelligent Systems,Recognition Methods,Artificial Intelligence,Average Precision,Backbone Network,Binary Image,Bounding Box,Color Difference ...

This article treats the SIRST detection task as a bounding box regression problem and proposes a novel target detection network architecture, named adaptive fusion bounding box regression network ...

Abstract: The object detection is a crucial task in the computer vision for remote sensing applications. However, the reliance of traditional methods on predefined and trained object categories limits ...

Thunderbolts* is a strange superhero film: While its anti-hero dynamic puts a dysfunctional spin on the Guardians of the Galaxy/Suicide Squad-style narrative of ‘a bunch of outcasts find refuge and ...