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 ...

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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 ...

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 ...

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 ...

D-Fire is an image dataset of fire and smoke occurrences designed for machine learning and object detection algorithms with more than 21,000 images. All images were annotated according to the YOLO ...

Another day, another English rewrite made to Japanese media, this time as Netflix has edited a bit of dialogue in… ...

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