Experiments show that proposed method achieves mAP50 improvement of 2.4% for all classes and 4.4% for the relatively weak pedestrian class on our dataset relative to the Yolov5s baseline model.doi:10.1007/978-3-031-14903-0_38B. HouXiaoyu Chen...
首先,SR�YOLOv8n-BCG利用SRGAN对模糊花卉图像进行超分辨处理,提高输入模型的图像质量。其次,在YOLOv8n特征提取网络中使用加权双向特征金字塔网络(Bidirectional feature pyramid network,BiFPN)替换PAN-FPN模块,以有效融合多尺度的花卉特征,并降低模型的体积。同时,引入坐标注意力机制(Coordinate attention,CA)以增强模型...
文章链接:SR-DAYOLOv8: cross-domain adaptive object detection based on super-resolution domain classifier | Multimedia Systems 研究目标: 提出一种新的无监督领域适应物体检测算法SR-DAYOLOv8,以解决不同交通道路场景之间的领域偏移问题,从而提高目标检测器的泛化能力。该算法旨在改善自主驾驶的可靠性、优化交通流量...
为此,我们构建了一个专门用于训练改进YOLOv8-seg的宠物排泄物图像分割系统的数据集,命名为“POOP_SR”。该数据集的设计旨在提高模型在不同环境下对宠物排泄物的检测与分割能力,进而推动智能宠物管理和环境卫生监测的发展。“POOP_SR”数据集包含了9个类别,具体类别包括“Indoor”(室内)、“lawn”(草坪)、以及多种...
To address this problem, we present a novel lightweight object detection network, namely YOLO_SRv2, which is an evolved version of our previously proposed You Only Look Once network for Sweeping Robots (YOLO_SR). First, an improved max-pooling structure is presented in the backbone network to...
YOLO3+Intel SR305深度相机实现目标检测,实时目标检测和深度测量,看起来效果还不错,后期再出检测详细步骤。【YOLO3+Intel SR305深度相机实现目标检测-哔哩哔哩】 https://b23.tv/a0mcJK2 。
CTPN https://github.com/tianzhi0549/CTPN keras yolo3 https://github.com/qqwweee/keras-yolo3.git darknet keras 模型转换参考 参考:https://www.cnblogs.com/shouhuxianjian/p/10567201.html 语言模型实现 https://github.com/lukhy/masr 技术支持 mail:chineseocr@hotmail.com wechat:lywen52About...
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Implements the YOLOv4 real-time object detection model using DirectML and DirectMLX.YOLOv4 is an object detection model capable of recognizing up to 80 different classes of objects in an image. This sample contains a complete end-to-end implementation of the model using DirectML, and is able ...
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