Recent progresses on object detection: a brief review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-019-07898-2.pdf
Reference107 articles.
1. Bansal A, Sikka K, Sharma G, Chellappa R, Divakaran A (2018) Zero-shot object detection. In: Proceedings of the European Conference on Computer Vision (ECCV), pp 384–400
2. Bell S, Lawrence Zitnick C, Bala K, Girshick R (2016) Inside-outside net: Detecting objects in context with skip pooling and recurrent neural networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2874–2883
3. Bodla N, Singh B, Chellappa R, Davis LS (2017) Soft-nms—improving object detection with one line of code. In: 2017 IEEE international conference on Computer vision (ICCV). IEEE, pp 5562–5570
4. Byeon YH, Pan SB, Moh SM, Kwak KC (2016) A surveillance system using cnn for face recognition with object, human and face detection. In: Information science and applications (ICISA) 2016. Springer, pp 975–984
5. Cai Z, Fan Q, Feris RS, Vasconcelos N (2016) A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection. In: European conference on computer vision. Springer, pp 354–370
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