Concurrently, the Bi-direction Decoupled Focus is inserted in the early layers of the YOLOv8 backbone to expand the network’s receptive fields. DECA enhances the cross-modal fusion results by ...
To address this issue, this study proposes an improved YOLOv8-based method for detecting Xinhui citrus maturity. GhostConv was introduced to replace the ordinary convolution in the Head of YOLOv8, ...
在计算机视觉领域，有许多技术可以解释从视频（录制、流媒体或实时）中获取的数据。在特定情况下，例如评估交通强度或某些对象（如人、车辆、动物等）的行为区域时，热力图成为一种 ...
本文开发了一个专门用于火灾和烟雾检测的自定义训练YOLOv8模型。用于此训练的数据集可在Kaggle上找到，如果需要重新训练模型，训练脚本也可供使用。 近年来，人工智能和机器学习的进步彻底 ...
This work explores the integration of event-based cameras with advanced object detection frameworks, introducing Recurrent YOLOv8 (ReYOLOV8), a refined object detection framework that enhances a ...
The paper introduces SFD-YOLOv8, a lightweight algorithm based on YOLOv8n, with the aim of enhancing detection performance while maintaining a streamlined architecture. The innovation of SFD-YOLOv8 is ...
In this study, we propose a new sea-air background IR (SAIR) detection model on the basis of the YOLOv8 network, called SAIR-YOLO, with three major improvements. First, an asymptotic multiscale ...
As an indispensable execution unit in current social production, robotic arms have been integrated into our various production lives. How to make robotic arms perform tasks more intelligently is a ...
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