The core innovation lies in replacing the traditional DETR backbone with ConvNeXt, a convolutional neural network inspired by ...

Traditional object detection algorithms, including both two-stage models like Faster R-CNN and one-stage variants such as ...

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 ...

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 ...

In the latest case of English-language localizers overwriting a Japanese creator’s original creative vision, Netflix’s in-house team has edited a bit of dialogue in Blue Box to have someone who was ...