Is Faster R-CNN Doing Well for Pedestrian Detection?
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-46475-6_28
Reference32 articles.
1. Hosang, J., Omran, M., Benenson, R., Schiele, B.: Taking a deeper look at pedestrians. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2015)
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) (2015)
3. Tian, Y., Luo, P., Wang, X., Tang, X.: Deep learning strong parts for pedestrian detection. In: IEEE International Conference on Computer Vision (ICCV) (2015)
4. Cai, Z., Saberian, M., Vasconcelos, N.: Learning complexity-aware cascades for deep pedestrian detection. In: IEEE International Conference on Computer Vision (ICCV) (2015)
5. Dollár, P., Tu, Z., Perona, P., Belongie, S.: Integral channel features. In: British Machine Vision Conference (BMVC) (2009)
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