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Semantic head enhanced pedestrian detection in a crowd

  • Published:2020-08 Issue: Volume:400 Page:343-351
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Lu Ruiqi,Ma HuiminORCID,Wang Yu

Funder

National Key R and D Plan

National Natural Science Foundation of China

Beijing Municipal Science

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference36 articles.

1. Repulsion loss: Detecting pedestrians in a crowd;Wang,2018

2. Illuminating pedestrians via simultaneous detection and segmentation;Brazil,2017

3. Improving occlusion and hard negative handling for single-stage pedestrian detectors;Noh,2018

4. Learning efficient single-stage pedestrian detectors by asymptotic localization fitting;Liu,2018

5. What can help pedestrian detection?;Mao,2017

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1. A Pedestrian Detection Network Based on an Attention Mechanism and Pose Information;Applied Sciences;2024-09-12

2. Toward Accurate and Robust Pedestrian Detection via Variational Inference;International Journal of Computer Vision;2024-08-22

3. Design of embedded real-time human detection system based on Zynq platform;Journal of Physics: Conference Series;2024-08-01

4. Swin Transformer for Pedestrian and Occluded Pedestrian Detection;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

5. Triangular Chain Closed-Loop Detection Network for Dense Pedestrian Detection;IEEE Transactions on Instrumentation and Measurement;2024
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