Open Access
Issue |
MATEC Web Conf.
Volume 277, 2019
2018 International Joint Conference on Metallurgical and Materials Engineering (JCMME 2018)
|
|
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Article Number | 02028 | |
Number of page(s) | 8 | |
Section | Data and Signal Processing | |
DOI | https://doi.org/10.1051/matecconf/201927702028 | |
Published online | 02 April 2019 |
- Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. Spatial pyramid pooling in deep convolutional networks for visual recognition. In ECCV, 2014. [Google Scholar]
- Ross Girshick, Jeff Donahue, Trevor Darrel, and Jitendra Malik. Region-based convolutional networks for accurate object detection and segmentation. IEEE transactions on pattern analysis and machine intelligence, 2015. [Google Scholar]
- Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. Faster r-cnn: Towards realtime object detection with region proposal networks. In NIPS, 2015. [Google Scholar]
- Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollar. Focal Loss for dense object detection. arXiv preprint arXiv:1708.02002, 2017. [Google Scholar]
- Ali Farhadi, Ian Endres, Derek Hoiem, and Devid Forsyth. Describing objects by their attributes. In Computer Vision and Pattern Recognition, 2009. [Google Scholar]
- Christoph H Lampert, Hannes Nickisch, and Stefan Harmeling. Attribute-based classification for zero-shot visual object categorization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014. [Google Scholar]
- Yann LeCun, Bernhard E Boser, John S Denker, Donnie Henderson, Richard E Howard, Wayne E Hubbard, and Lawrence D Jackel. Handwritten digit recognition with a back-propagation network. In Advances in neural information processing systems, pages 396-404, 1990. [Google Scholar]
- Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi. You only look once:Unified, real-time object detection. In CVPR, 2016. [Google Scholar]
- Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg. Ssd: Single shot multibox detector. In ECCV, 2016. [Google Scholar]
- R. Girshick. Fast R-CNN. In ICCV, 2015. [Google Scholar]
- S. Ren, K. He, R. Girshick, and J. Sun. Faster R-CNN: Towards real-time object detection with region proposal networks. In NIPS, 2015 [Google Scholar]
- T.-Y. Lin, P. Dollar, R. Girshick, K. He, B. Hariharan, and S. Belongie. Feature pyramid networks for object detection. In CVPR, 2017. [Google Scholar]
- Nancy Kanwisher and Jon Driver. Objects, attributes, and visual attention: Which, what, and where. Current Directions in Psychological Science, 1992. [Google Scholar]
- Anne M Treisman and Garry Gelade. A feature-integration theory of attention. Cognitive psychology, 12(1):97-136, 1980. [CrossRef] [Google Scholar]
- Vittorio Ferrari and Andrew Zisserman. Learning visual attributes. In NIPS, 2008. [Google Scholar]
- M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2008 (VOC2008) Results. http://www.pascalnetwork.org/challenges/VOC/voc2008/workshop/index.html, 2008. [Google Scholar]
- Navneet Dalal and Bill Triggs. Histograms of oriented gradients for human detection. In Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. IEEE, 2005. [Google Scholar]
- Gang Wang and David Forsyth. Joint learning of visual attributes, object classes and visual saliency. In Computer Vision, 2009 IEEE 12th International Conference on. IEEE, 2009. [Google Scholar]
- Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition, 2016. [Google Scholar]
- Diederik P Kingma and Jimmy Ba. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980, 2014. [Google Scholar]
- François Chollet et al. Keras. https://keras.io, 2015. [Google Scholar]
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