在这项工作中,作者说明了single-stage object detection在Classification score和Localization Quality之间的低相关性会严重损害模型的性能(mAP)。因此,作者提出的IoU-aware single-stage object detector是通过在regression分支的最后一层添加IoU Prediction head来预测每个detected box 的IoU。使得模型知道每个detected box的lo...
We propose a raw point cloud-based, lightweight and single-stage 3D object detector ESA-SSD, which aggregate contextual features to key points using multi-set abstraction modules. At first, an enhanced feature expression module is utilize to encode the geometric information and feature content of ...
再通过cross-stage link连接point-wise特征,用于后续子任务(分割和中心点预测)。Auxiliary tasks: 首先,point-wise前景分割任务,以引导CNN学习目标边界特征。如上图(c)所示,分割任务可以使得backbone更精确检测目标边界。然而,即使精确地检测到边界点,由于特征图的稀疏性,确定边界框的尺度和形状仍然存在模糊性。 因此,...
论文:IoU-aware Single-stage Object Detector for Accurate Localization 论文地址:http://arxiv.org/abs/1912.05992 Introduction 论文希望是在保持实时性的同时,提高one-stage检测器的准确率。论文认为,one-stage的性能之所以低,是因为分类分数与定位精度之间的低相关性导致的(其实不止one-stage detector,几乎所有...
Single-stage object detectorSingle-stage object detectors have been widely applied in many computer vision applications due to their simpleness and high efficiency. However, the low correlation between the classification score and localization accuracy in detection results severely hurts the average ...
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications PDF: https://arxiv.org/pdf/2209.02976.pdf PyTorch代码: https://github.com/shanglianlm0525/CvPytorch PyTorch代码: https://github.com/shanglianlm0525/PyTorch-Networks...
4)这是一个onestage anchor free的目标检测方法,比所有的voxel-based的但阶段检测方法效果都要好,能达到25FPS。 这里值得一提的是,在3D目标检测中,称第一个anchor-free的文章应该是OHS,也是19年底的一个工作,它采用的方法类似part(作者文章中称为hotspots)去预测detection。
In addition, if the location of the corners can be obtained before the detection head module, the network can obtain more accurate 3D bounding boxes under the guidance of the position of the corners. In this paper, we propose a corner-guided anchor-free single-stage 3D object detection model...
We present our approach to unsupervised domain adaptation for single-stage object detectors on top-view grid maps in automated driving scenarios. Our goal is to train a robust object detector on grid maps generated from custom sensor data and setups. We first introduce a single-stage object dete...
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications What's New [2023.09.15] Release YOLOv6-Segmentation. 🚀 Performance [2023.04.28] Release YOLOv6Lite models on mobile or CPU. ⭐️ Mobile Benchmark [2023.03.10] Release YOLOv6-Face. 🔥 Performance [2023.03.02]...