Learning Hierarchical Graph for Occluded Pedestrian Detection
Author:
Affiliation:
1. Nanjing University of Science and Technology, Nanjing, China
2. Youtu Lab, Tencent, Shanghai, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province China
Funds for International Cooperation and Exchange of the National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394171.3413983
Reference41 articles.
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2. Garrick Brazil and Xiaoming Liu. 2019. Pedestrian detection with autoregressive network phases. In CVPR. 7231--7240. Garrick Brazil and Xiaoming Liu. 2019. Pedestrian detection with autoregressive network phases. In CVPR. 7231--7240.
3. Garrick Brazil Xi Yin and Xiaoming Liu. 2017. Illuminating pedestrians via simultaneous detection & segmentation. In ICCV. 4950--4959. Garrick Brazil Xi Yin and Xiaoming Liu. 2017. Illuminating pedestrians via simultaneous detection & segmentation. In ICCV. 4950--4959.
4. Joan Bruna Wojciech Zaremba Arthur Szlam and Yann LeCun. 2013. Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203 (2013). Joan Bruna Wojciech Zaremba Arthur Szlam and Yann LeCun. 2013. Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203 (2013).
5. Kai Chen Jiaqi Wang Jiangmiao Pang Yuhang Cao Yu Xiong Xiaoxiao Li Shuyang Sun Wansen Feng Ziwei Liu Jiarui Xu etal 2019. MMDetection: Open mmlab detection toolbox and benchmark. arXiv preprint arXiv:1906.07155 (2019). Kai Chen Jiaqi Wang Jiangmiao Pang Yuhang Cao Yu Xiong Xiaoxiao Li Shuyang Sun Wansen Feng Ziwei Liu Jiarui Xu et al. 2019. MMDetection: Open mmlab detection toolbox and benchmark. arXiv preprint arXiv:1906.07155 (2019).
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