A Unified Framework for Saliency Segmentation
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-79757-7_19
Reference12 articles.
1. Kakanopas, D., Woraratpanya, K.: An efficient Hola filter for saliency detection. In: 12th International Conference on Information Technology and Electrical Engineering (ICITEE), pp. 338–343 (2020). https://doi.org/10.1109/ICITEE49829.2020.9271690
2. Kakanopas, D., Woraratpanya, K.: An improved Hola framework for saliency detection. In: 9th Joint Symposium on Computational Intelligence (JSCI9), Bangkok, Thailand (2020)
3. Hou, X., Zhang, L.: Saliency detection: a spectral residual approach. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, pp. 1–8 (2007)
4. Li, J., Levine, M.D., An, X., Xu, X., He, H.: Visual saliency based on scale-space analysis in the frequency domain. IEEE Trans. Pattern Anal. Mach. Intell. 35(4), 996–1010 (2013)
5. The source code is available at. https://github.com/zhenglab/Saliency-Benchmark-Frequency/blob/master/Models/SHFT/. Accessed 2 Dec 2020
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