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Efficient generation of high-quality object proposals is an essential step in state-of-the-art object detection systems based on deep convolutional neural networks (DCNN) features.
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D. Erhan, C. Szegedy, A. Toshev, and D. Anguelov, “Scalable object detection using deep neural networks,” in Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on . IEEE, 2014, pp. 2155–2162
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2014
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K. He, X. Zhang, S. Ren, and J. Sun, “Spatial pyramid pooling in deep convolutional networks for visual recognition,” in Computer Vision–ECCV 2014 . Springer, 2014, pp. 346–361
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2015
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