SynPoses: Generating Virtual Dataset for Pedestrian Detection in Corner Cases

Author:

Nie Yunhao1ORCID,Lu Bo1ORCID,Chen Qiyuan1ORCID,Miao Qinghai2ORCID,Lv Yisheng1ORCID

Affiliation:

1. State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Open Project of the State Key Laboratory of Management and Control for Complex Systems

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Instrumentation

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adaptive Multi-Task Learning for Multi-PAR in Real World;IEEE Journal of Radio Frequency Identification;2024

2. DriveCP: Occupancy-Assisted Scenario Augmentation for Occluded Pedestrian Perception Based on Parallel Vision;IEEE Journal of Radio Frequency Identification;2024

3. CornerSim: A Virtualization Framework to Generate Realistic Corner-Case Scenarios for Autonomous Driving Perception Testing;Procedia Computer Science;2024

4. 3D-aided image augmentation for occluded pedestrian detection based on parallel vision;2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI);2023-11-07

5. Data Augmentation for Pedestrians in Corner Case: A Pose Distribution Control Approach;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

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