Visual saliency detection using iterative outlier cluster elimination
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software
Link
http://link.springer.com/content/pdf/10.1007/s11045-018-0610-4.pdf
Reference31 articles.
1. Achanta, R., Hemami, S., Estrada, F., & Susstrunk, S. (2009). Frequency tuned salient region detection. In IEEE conference on computer vision and pattern recognition (CVPR) (pp. 1597–1604).
2. Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., & Susstrunk, S. (2012). Slic superpixels compared to state-of-the-art superpixel methods. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(11), 2274–2282.
3. Alexe, B., Deselears, T., & Ferrari, V. (2010). What is an object. In IEEE conference on computer vision and pattern recognition (CVPR) (pp. 73–80).
4. Alexe, B., Deselears, T., & Ferrari, V. (2012). Measuring the objectness of image windows. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(11), 2189–2202.
5. Borji, A., Cheng, M. M., Jiang, H., & Li, J. (2015). Salient object detection: A benchmark. IEEE Transactions on Image Processing, 24(12), 5706–5722.
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