Context-aware pedestrian detection especially for small-sized instances with Deconvolution Integrated Faster RCNN (DIF R-CNN)
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/article/10.1007/s10489-018-1326-8/fulltext.html
Reference26 articles.
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3. Brazil G, Yin X, Liu X (2017) Illuminating pedestrians via simultaneous detection & segmentation. In: 2017 IEEE International Conference on Computer Vision (ICCV). IEEE, pp 4950–4959. https://doi.org/10.1109/ICCV.2017.530
4. Cai Z, Fan Q, Feris RS, Vasconcelos N (2016) A unified multi-scale deep convolutional neural network for fast object detection. In: Leibe B, Matas J, Sebe N, Welling M (eds) Computer Vision – ECCV 2016. ECCV 2016. Lecture Notes in Computer Science, vol 9908. Springer, Cham. https://doi.org/10.1007/978-3-319-46493-0_22
5. Barekatain M, Marti M, Shih H-F, Murray S, Nakayama K, Matsuo Y, Prendinger H (2017) Okutama-action: an aerial view video dataset for concurrent human action detection. In: 30th IEEE conference on computer vision and pattern recognition workshops (CVPRW). IEEE, pp 2153–2160. https://doi.org/10.1109/CVPRW.2017.267
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