feature fusion 即对2d和3d数据分别进行处理,得到相同尺度的特征图,再通过简单的concate或者构建map或者attention来进行数据对齐,之后再放入设计的head中输出结果 objection fusion 我感觉类似一种集成学习的思想,分别检测出目标,然后进行筛选 目前比较倾向于做feature fusion,尤其是近两年再BEV领域的应用逐渐增多,如果能做...
Han-Pang ChiuSupun SamarasekeraRakesh KumarBogdan C. MateiBhaskar Ramamurthy
A method for multi-modal data fusion ( 100 ), a multi-modal system data fusion system ( 10 ) and module ( 24 ) that in use operates by receiving segments ( 125 ) of multi-modal data associated respectively with a modalitiy. Initiating ( ... AK Gupta,YC Cheng - US 被引量: 21发...
The multi- modal data fu-sion for person authentication based on Euclidean distance- weighted method is proposed in this paper according to cluster analysis method used in multi- sensor data fusion system. The method is not limited in two or more special bio- features. Compared with the ...
5,Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving 我们提出了一种利用 LiDAR 返回和相机图像的多视图表示进行对象检测和轨迹预测的端到端方法。在这项工作中,我们认识到不同视图表示的优点和缺点,并提出了一种有效且通用的融合方法,可以聚合所有视图的优点。我们的模...
摘要: The surge in lifelog data demands improved Human Activity Recognition (HAR).Introducing an innovative hybrid data fusion framework to enhance HAR.Validating on diverse public datasets, outperforming existing fusion strategies in HAR.关键词: Multi-modal data Data fusion strategy Hybrid approach ...
Multi-modal data fusion has gained popularity due to its diverse applications, leading to an increased demand for external sensor calibration. Despite several proven calibration solutions, they fail to fully satisfy all the evaluation criteria, including accuracy, automation, and robustness. Thus, this...
Interactive Comparative Analysis for Multi-Modal Data Exploitation and FusionWhile this paper is grounded by a specific real world heterogeneous datacollection for a series of parametric small explosives experiments, thisexample represents a technique to address the more fundamental problem offew ...
Multimodal feature fusion. Full size image SVM is a machine learning algorithm that can handle high-dimensional data, overcome dimensionality catastrophe, has better robustness and interpretability, and has better generalization ability to provide more reliable results. Therefore, SVM is chosen as the cl...
4.1 Strong-fusion 4. 2 Weak-fusion(了解一下,会不会是半监督) 4.3 Other Fusion Methods 5. Opportunities in Multi-Modal Fusion 5.1 More Advanced Fusion Methodology 5.2. Multi-Source Information Leverage 5.3 Intrinsic Problems in Perception Sensors ...