自然场景中总是出现罕见甚至未见过的物体,致使数据标注任务在当前的自动驾驶工业应用上需要持续进行,而这就需要消耗大量的人力投入,如下框架图所示(Cost以0.06 dollar/bounding box和1.1 dollar/GPU Hour进行人力和机器成本的计算),OVOD(Open Vocabulary Object Detection)或Semi-Supervised Learning的方案都需要持续的数据...
The most natural approach for a robot to learn about a new object is the short presentation of the object either by hand or on a table. The robot should learn a model of the object and use it to later find the object again and track it. All these steps should be executed autonomously...
所提出的框架以端到端的方式进行训练,在训练期间采用集中式通信方案,在推理期间执行分布式通信方案。 为了评估所提出的点云协作 3D 对象检测框架的有效性,我们使用开源城市驾驶模拟器 Car Learning to Act 设计了一个新的数据集 CARLA-3D,包括环岛和 T 字路口驾驶场景(卡拉)[14]。对所提出的合作感知框架进行了分...
Last month, the release of Segment Anything opened the door to a whole new world of applications based on image segmentation and object detection deep learning techniques. A notable example of this is the work being done by IDEA Research with their line of Grounded Segment Anything models and ...
The perception system in autonomous driving mainly uses object detection algorithms to obtain the distribution of obstacles for recognition and analysis. Current object detection algorithms have rapidly developed, but it is challenging to balance the requirements of real-time detection and high detection ...
HIERARCHICAL CONSTRAINED AUTOMATIC LEARNING NETWORK FOR CHARACTER RECOGNITION Abstract Highly accurate, reliable optical character recognition is afforded by a hierarchically layered network having several layers of parallel constrained feature detection for localized feature extraction followed by several fully conn...
A. 3D object detection from point clouds B. Collaborative 3D object detection C. Learning of communication III. PROBLEM STATEMENT 系统模型有 N 个设施,每个设施都有雷达和处理器,设施 i 获取的点云数据为 S_i 。为了受益于协作感知,还假设自动驾驶车辆 v 配备有用于通信的无线接收系统,并且具有用于感知和...
A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films. A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films.doi:10.1038/s41598-019-40414-y... Chen,Kailai,Zhang,.....
Implicit in this are the notions of anomaly detection and learning transfer . A perceptual system must firstly determine at what point the existing learned model ceases to apply, and secondly, what aspects of the existing model can be brought to bear on the newly-defined learning domain. ...
In contemporary biomedical research, the accurate automatic detection of cells within intricate microscopic imagery stands as a cornerstone for scientific advancement. Leveraging state-of-the-art deep learning techniques, this study introduces a novel am