Author:
Zang Ying,Fu Chenglong,Yang Dongsheng,Li Hui,Ding Chaotao,Liu Qingshan
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Reference32 articles.
1. Hwang, S., Park, J., Kim, N., et al.: Multispectral pedestrian detection: benchmark dataset and baseline. In: Proceedings of the IEEE Conference On Computer Vision And Pattern Recognition, pp. 1037–1045 (2015)
2. Liu, J., Zhang, S,, Wang, S., et al.: Multispectral deep neural networks for pedestrian detection. arXiv:1611.02644 (2016)
3. Li, C., Song, D., Tong, R., et al.: Multispectral pedestrian detection via simultaneous detection and segmentation. arXiv:1808.04818 (2018)
4. Zhang, L., Zhu, X., Chen, X., et al.: Weakly aligned cross-modal learning for multispectral pedestrian detection. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 5127–5137 (2019)
5. Li, C., Song, D., Tong, R., et al.: Illumination-aware faster R-CNN for robust multispectral pedestrian detection. Pattern Recognit. 85, 161–171 (2019)
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