Funder
The China Shandong Key R&D Plan
Publisher
Springer Science and Business Media LLC
Reference44 articles.
1. Krizhevsky, A., Sutskever, I., Hinton, G. E.: ImageNet classification with deep convolutional neural networks. In: Neural Information Processing Systems, pp. 1097–1105 (2012)
2. Tian, Y., Luo, P., Wang, X., Tang, X.: Pedestrian detection aided by deep learning semantic tasks. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5079–5087 (2015)
3. Zhang, L., Lin, L., Liang, X., He, K.: Is faster r-cnn doing well for pedestrian detection? In: European Conference on Computer Vision (ECCV), pp. 443–457 (2016)
4. Liu, W., Liao, S., Ren, W., Hu, W., Yu, Y.: High-level semantic feature detection: a new perspective for pedestrian detection. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5187–5196 (2019)
5. Ma, J., Wan, H., Wang, J., Xia, H., Bai, C.: An improved scheme of deep dilated feature extraction on pedestrian detection. SIViP (2020). https://doi.org/10.1007/s11760-020-01742-z
Cited by
25 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