Current autonomous driving systems predominantly focus on 3D object perception from the vehicle's perspective. However, the single-camera 3D object detection algorithm in the roadside monitoring scenario provides stereo perception of traffic objects, offering more accurate collection and anal...
此外,Chi等人[28]表明,通过将基础设施纳入集群联邦过程,可以改进联邦3D目标检测,并在实验中包括了复杂的多步骤感知系统,其中从点云提取的特征图由视觉 Transformer 处理。 作者的 Proposal 与先前工作的不同之处在于,作者专注于最近实时目标检测器的联邦优化,并提出了对其性能的全面评估,同时允许在数据中心进行大规模模...
The original YOLO model was introduced in the paper“You Only Look Once: Unified, Real-Time Object Detection”in 2015. At the time,RCNNmodels were the best way to perform object detection, and their time-consuming, multi-step training process made them cumbersome to use in practice. YOLO wa...
Teaser YOLOv7-semantic & YOLOv7-panoptic & YOLOv7-caption YOLOv7-semantic & YOLOv7-detection & YOLOv7-depth (with NTUT) YOLOv7-3d-detection & YOLOv7-lidar & YOLOv7-road (with NTUT) Acknowledgements
从传统的PASCAL VOC和MS COCO到针对自动驾驶特别设计的KITTI和Waymo Open Dataset,数据集的不断更新和扩充为算法的改进和性能评估提供了重要支持。Waymo Open Dataset是目前最大、最全面的自动驾驶数据集之一,它提供了大量的高分辨率图像和3D点云数据,用于训练和测试目标检测算法。
Comparison of various object detection datasets. 我们将在下文介绍一些常用的目标检测数据集。这些数据集可能包括图像数据集、视频数据集或者其他类型的数据集。我们会对这些数据集进行概述,包括数据集的大小、数据类型、标注信息等。 PASCAL VOC Number of images for different classes annotated in the PascalVOC data...
ModelTest SizeAPvalAP50valAP75val YOLOv7-u664052.6%69.7%57.3% YOLOv7-semantic & YOLOv7-panoptic & YOLOv7-caption YOLOv7-semantic & YOLOv7-detection & YOLOv7-depth (with NTUT) YOLOv7-3d-detection & YOLOv7-lidar & YOLOv7-road (with NTUT) Acknowledgements...
YOLOv7-semantic & YOLOv7-detection & YOLOv7-depth (with NTUT) YOLOv7-3d-detection & YOLOv7-lidar & YOLOv7-road (with NTUT) Acknowledgements Expand https://github.com/AlexeyAB/darknet https://github.com/WongKinYiu/yolor https://github.com/WongKinYiu/PyTorch_YOLOv4 https://github.co...
除了YOLO系列之外,还有一些其他的算法也在活体人脸检测方面表现出色。例如,利用深度学习和人脸识别技术结合的3D人脸重建方法,能够有效地从2D图像中重建出3D人脸模型,进而进行更准确的活体判断。这种方法通过分析人脸的深度信息,能够有效地区分真人和照片、视频等非活体媒介,从而提高了活体检测的准确率。
3D目标检测是自动驾驶中一个特别关键的问题。尽管模型已经取得了很高的准确度,但如果在人类水平性能以下部署任何东西都会引发安全问题。 视频目标检测 目标检测算法旨在在不相关的单个图像上进行推理预测。使用帧之间的空间和时间关系进行目标检测是一个悬而未决的问题。 总结 尽管过去十年目标检测算法取得了很大进展,但最...