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What Makes a Patch Distinct?
Abstract
What makes an object salient? Most previous work assert that distinctness is the dominating factor. The difference between the various algorithms is in the way they compute distinctness. Some focus on the patterns, others on the colors, and several add high-level cues and priors. We propose a simple, yet powerful, algorithm that integrates these three factors. Our key contribution is a novel and fast approach to compute pattern distinctness. We rely on the inner statistics of the patches in the image for identifying unique patterns. We provide an extensive evaluation and show that our approach outperforms all state-of-the-art methods on the five most commonly-used datasets.
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Cited by
Structure-Measure: A New Way to Evaluate Foreground Maps
Fan, D.-P., Cheng, M.-M., Liu, Y., Li, T., & Borji, A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.487 · Cited by 2,092
Salient Object Detection: A Benchmark
Borji, A., Cheng, M.-M., Jiang, H., & Li, J. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2487833 · Cited by 1,364
How to Evaluate Foreground Maps
Margolin, R., Zelnik-Manor, L., & Tal, A. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.39 · Cited by 1,106
Self-citationDeep networks for saliency detection via local estimation and global search
Wang, L., Lu, H., Ruan, X., & Yang, M.-H. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298938 · Cited by 676
Background Prior-Based Salient Object Detection via Deep Reconstruction Residual
Han, J., Zhang, D., Hu, X., Guo, L., Ren, J., & Wu, F. (2015) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2014.2381471 · Cited by 444
Metadata
- Authors
- Margolin, R., Tal, A., & Zelnik-Manor, L.
- Venue
- 2013 IEEE Conference on Computer Vision and Pattern Recognition
- Publisher
- IEEE
- Published
- 2013-06
- Pages
- 1139-1146
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2122076510
- Cited by
- 513
- References
- 0
- FWCI
- 43.95
- Type
- conference paper
- Language
- en
- Open access
- closed
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