Abstract: Real-time object detection has always been a broad, dynamic, and challenging domain within computer vision. Image localization entails identifying a singular object within an image, while ...

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 ...

Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class probabilities. A single neural network predicts bounding boxes and class ...

Charlie Hall is Polygon’s tabletop editor ... That means you can fold up your playmat, snap your deck box and your dice box directly to it, and then load the entire assembly directly into ...

Pete Volk (he/they) is Polygon’s Curation Editor, with a particular love for action and martial arts movies. [Ed. note: Some slight spoilers for the set-up for The Eternaut follow.] It’s ...

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 ...

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 ...

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R-CNN实现由如下3部分组成： @misc{girshick2013rich, title={Rich feature hierarchies for accurate object detection and semantic segmentation}, author={Ross Girshick and Jeff Donahue and Trevor Darrell and ...