To this end, this paper proposes an efficient, low-complexity, anchor-free small object detection framework YOLO-SOD based on YOLOv8. First, a content-aware feature recombination upsampling operator (CARAFE) is integrated in the upsampling operation part of the framework to achieve more accurate ...
YOLO-SOD: Improved YOLO Small Object Detection 来自 Springer 喜欢 0 阅读量: 1 作者:Y Xu,J Lu,C Wang 摘要: Small object detection has important application value in the fields of environmental monitoring, resource detection and analysis, etc. However, the current general object detectors are ...
基于paddledetection套件ppyolo系列训练瓷砖表面瑕疵质检 江明50102 2枚 BML Codelab 2.4.0 Python3 中级计算机视觉 2023-03-16 09:54:58 版本内容 数据集 Fork记录 评论(0) 运行一下 ppyolo-sod小目标瓷砖表面瑕疵 2023-04-14 10:30:28 请选择预览文件 当前Notebook没有标题 ...
To address this issue, we propose the SOD-YOLO model based on YOLOv7, which incorporates a DSDM-LFIM backbone network and includes a small object detection branch. The DSDM-LFIM backbone network, which combines Deep-Shallow Downsampling Modules (DSD Modules) and Lightweight Feature Integration ...
To address these challenges, we propose SOD-YOLO, an innovative model based on the YOLOv8 model, to detect small objects in UAV images. The model integrates the receptive field convolutional block attention module (RFCBAM) in the backbone network to perform downsampling, improving feature ...
paddle中yoloe+sod原理 对于yolov3网络架构:其实有以下几个组件组成: 1、特征提取器(卷积层):该组件用来提取输入图像的特征,从而为后续的检测提供足够的信息来分辨目标的位置和大小; 2、检测层结构:YOLO了结中使用3个尺度的anchors,每个尺度对应若干个anchors,每个anchor通过两个全连接的的层来给出预测值。其中一个...
为了解决这些问题,作者提出了Small Object Detection YOLOv8 (SOD-YOLOv8),这是一种专门针对涉及众多小目标场景的新颖模型。受到Efficient Generalized Feature Pyramid Networks (GFPN)的启发,作者在YOLOv8中的多路径融合中增强了跨层级的多路径融合,保留浅层细节并提高小目标检测精度。
YOLOv3是一种目标检测模型,可以实现对图像中多个物体的检测和定位;而SOD是一种显著性检测模型,可以实现对图像中显著物体的检测和定位。它们都是基于深度学习的模型,使用了卷积神经网络进行特征提取和检测。通过学习这些模型的原理,我们可以更好地理解它们的工作原理,并在实际应用中更好地使用它们。
YOLO-SOD: Improved YOLO Small Object Detection Small object detection has important application value in the fields of environmental monitoring, resource detection and analysis, etc. However, the curren... Y Xu,J Lu,C Wang - Pacific Rim International Conference on Artificial Intelligence 被引量: ...
PPYOLOE:基于PP-YOLOE-SOD实现遥感场景下的小目标检测 一、项目背景 目标检测一直是遥感图像和计算机视觉领域的一个长期问题。它通常被定义为识别输入图像中目标对象的位置以及识别对象类别。自动目标检测已广泛应用于许多实际应用中,如危险检测、环境监测、变化检测、城市规划等。 在过去的几十年里,人们对目标检测进行...