Filtered channel features for pedestrian detection

Zhang, Shanshan, Benenson, Rodrigo, Schiele, Bernt·2015·2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
DOI 10.1109/cvpr.2015.7298784

Cited by (394)

Items 101–200 of 394

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    Chao Li, Xinggang Wang, Wenyu Liu · 2017 · Neurocomputing
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  47. Comparative Evaluations of Selected Tracking-by-Detection Approaches
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    Sangil Jung, Ki-Sang Hong · 2017 · Pattern Recognition Letters
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  51. Adapted Center and Scale Prediction: More Stable and More Accurate
    Wenhao Wang, Zhang, Jusheng · 2020 · arXiv (Cornell University)
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  54. Norm-Aware Embedding for Efficient Person Search and Tracking
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  55. Training Cascade Compact CNN With Region-IoU for Accurate Pedestrian Detection
    Yun Zhao, Zejian Yuan, Badong Chen · 2019 · IEEE Transactions on Intelligent Transportation Systems
  56. Cutting‐Edge Deep Learning Methods for Image‐Based Object Detection in Autonomous Driving: In‐Depth Survey
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  57. Differential Features for Pedestrian Detection: A Taylor Series Perspective
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  58. Towards Efficient Detection and Crowd Management for Law Enforcing Agencies
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