一种可行的思路是在目标检测的输出加入目标之间的关联信息,从而对目标进行干涉。 2017年8月,新加波管理大学的Yuan Fang等人发表了一篇文章《Object Detection Meets Knowledge Graphs》,就按照这个思路做了一些工作。 论文地址:https://www.ijcai.org/proceedings/2017/0230.pdf 文章写得非常通俗易懂,因此本文进行思路...
Object Detection Meets Knowledge Graphs 技术标签:知识图谱 查看原文 Outlier Detection for Time Series with Recurrent Autoencoder Ensembles 基于递归自编码集成的时间序列离群点检测 论文链接:https://www.ijcai.org/Proceedings/2019/0378.pdf本文发表于2019年IJCAI会议上,全文主要围绕“异常检测+时间序列+集成+自...
In this paper, we propose a novel framework of knowledge-aware object detection , which enables the integration of external knowledge such as knowledge graphs into any object detection algorithm. The framework employs the notion of semantic consistency to quantify and generalize knowledge, which ...
Intermediate domain based meta learning framework for adaptive object detection IEEE Trans. Circuits Syst. Video Technol. (2023) Y. Fang, K. Kuan, J. Lin, C. Tan, V. Chandrasekhar, object detection meets knowledge graphs, in: Proceedings of the... H. Xu, C. Jiang, X. Liang, L. Lin...
ConTraKG: Contrastive-based Transfer Learning for Visual Object Recognition using Knowledge GraphsSebastian MonkaLavdim HalilajStefan SchmidAchim Rettinger
Rui Qian, Xin Lai, Xirong Li: 3D Object Detection for Autonomous Driving: A Survey (Pattern Recognition 2022: IF=8.518) - rui-qian/SoTA-3D-Object-Detection
From this information, a supervised machine learning algorithm is used to classify the object into one of several categories based on the detection of materials on the object. The behaviour of the material classification methods is investigated under non-ideal circumstances, to determine the effect ...
Different from LiDAR Distillation that is limited to transferring from high density to low den- sity, our proposed DTS is able to transfer knowledge under various settings of point densities. 3. Method 3.1. Problem Statement and Overview Unsupervised domain adaption for 3D...
While detection of moving regions (by change detection methods) may result in semantically meaningful objects in well-contsrained settings, in an unconstrained environment, user interaction is indeed the only way to define a semantically meaningful object unambiguously because only the user can know ...
It can assist in the detection and tracking of multiple objects in top view surveillance. The framework consists of a smart robotic camera embedded with the visual processing unit. The existing pre-trained deep learning models named SSD and YOLO has been adopted for object detection and ...