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Taking a Look at Small-Scale Pedestrians and Occluded Pedestrians

  • Published:2020 Issue: Volume:29 Page:3143-3152
  • ISSN:1057-7149
  • Container-title:IEEE Transactions on Image Processing
  • language:
  • Short-container-title:IEEE Trans. on Image Process.

Author:

Cao JialeORCID,Pang YanweiORCID,Han Jungong,Gao Bolin,Li XuelongORCID

Funder

Science and Technology Innovation 2030-Major Project of Artificial Intelligence of the Ministry of Science and Technology of China

National Natural Science Foundation of China

National Postdoctoral Program for Innovative Talents

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 38 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. OBhunter: An ensemble spectral-angular based transformer network for occlusion detection;Expert Systems with Applications;2024-08

2. Image-Level Automatic Data Augmentation for Pedestrian Detection;IEEE Transactions on Instrumentation and Measurement;2024

3. A dense crowd tracking method using density map and optical flow;2023 4th International Conference on Computer, Big Data and Artificial Intelligence (ICCBD+AI);2023-12-15

4. Replacing the human driver: An objective benchmark for occluded pedestrian detection;Biomimetic Intelligence and Robotics;2023-09

5. VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
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