Knowledge Commons of Institute of Automation,CAS
Visual Traffic Knowledge Graph Generation from Scene Images | |
Guo, Yunfei1,2![]() ![]() ![]() ![]() | |
2023-10 | |
会议名称 | International Conference on Computer Vision (ICCV) |
页码 | 21604-21613 |
会议日期 | 2023年10月2日-6日 |
会议地点 | 法国巴黎 |
出版地 | Piscataway, NJ |
出版者 | IEEE |
摘要 | Although previous works on traffic scene understanding have achieved great success, most of them stop at a lowlevel perception stage, such as road segmentation and lane detection, and few concern high-level understanding. In this paper, we present Visual Traffic Knowledge Graph Generation (VTKGG), a new task for in-depth traffic scene understanding that tries to extract multiple kinds of information and integrate them into a knowledge graph. To achieve this goal, we first introduce a large dataset named CASIATencent Road Scene dataset (RS10K) with comprehensive annotations to support related research. Secondly, we propose a novel traffic scene parsing architecture containing a Hierarchical Graph ATtention network (HGAT) to analyze the heterogeneous elements and their complicated relations in traffic scene images. By hierarchizing the heterogeneous graph and equipping it with cross-level links, our approach exploits the correlation among various elements completely and acquires accurate relations. The experimental results show that our method can effectively generate visual traffic knowledge graphs and achieve state-of-the-art performance. The dataset RS10K is available at http: //www.nlpr.ia.ac.cn/pal/RS10K.html. |
学科门类 | 工学::计算机科学与技术(可授工学、理学学位) |
DOI | 10.1109/iccv51070.2023.01975 |
URL | 查看原文 |
收录类别 | EI |
语种 | 英语 |
是否为代表性论文 | 是 |
七大方向——子方向分类 | 人工智能+交通 |
国重实验室规划方向分类 | 视觉信息处理 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57396 |
专题 | 多模态人工智能系统全国重点实验室_模式分析与学习 |
通讯作者 | Liu, Cheng-Lin |
作者单位 | 1.MAIS, Institute of Automation of Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences 3.T Lab, Tencent Map, Tencent Technology (Beijing) Co., Ltd. |
推荐引用方式 GB/T 7714 | Guo, Yunfei,Yin, Fei,Li, Xiao-Hui,et al. Visual Traffic Knowledge Graph Generation from Scene Images[C]. Piscataway, NJ:IEEE,2023:21604-21613. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Guo_Visual_Traffic_K(2506KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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