光学 精密工程, 2019, 27 (8): 1845, 网络出版: 2020-01-19   

基于对象性和多层线性模型的协同显著性检测

Co-saliency detection based on objectness and multi-layer linear model
作者单位
天津大学 电气自动化与信息工程学院, 天津 300072
引用该论文

金志刚, 李静昆. 基于对象性和多层线性模型的协同显著性检测[J]. 光学 精密工程, 2019, 27(8): 1845.

JIN Zhi-gang, LI Jing-kun. Co-saliency detection based on objectness and multi-layer linear model[J]. Optics and Precision Engineering, 2019, 27(8): 1845.

参考文献

[1] ZHANG D, FU H, HAN J, et al.. A review of co-saliency detection algorithms: fundamentals, applications, and challenges [J]. Acm Transactions on Intelligent Systems & Technology, 2018, 9(4): 1-31.

[2] ZHANG D, MENG D, HAN J. Co-saliency detection via a self-paced multiple-instance learning framework [J].IEEE Transactions on Pattern Analysis & Machine Intelligence, 2017, 39(5): 865-878.

[3] CHENG M M, MITRA N J, HUANG X, et al.. SalientShape: group saliency in image collections [J]. The Visual Computer, 2014, 30(4): 443-453.

[4] 蔡强, 郝佳云, 曹健, 等. 结合局部特征及全局特征的显著性检测 [J]. 光学 精密工程, 2017, 25(3): 772-778.

    CAI Q, HAO J Y, CAO J, et al.. Salient detection via local and global feature [J]. Opt. Precision Eng., 2017, 25(3): 772-778. (in Chinese)

[5] 丁鹏, 张叶, 贾平, 等. 基于多尺度多特征视觉显著性的海面舰船检测 [J]. 光学 精密工程, 2017, 25(9): 2461-2468.

    DING P, ZHANG Y, JIA P, et al.. Ship detection on sea surface based on multi-feature and multi-scale visual attention [J]. Opt. Precision Eng., 2017, 25(9): 2461-2468. (in Chinese)

[6] LI H, MENG F, NGAN K N. Co-salient object detection from multiple images [J]. IEEE Transactions on Multimedia, 2013, 15(8): 1896-1909.

[7] CHANG K Y, LIU T L, CHEN H T, et al.. Fusing generic objectness and visual saliency for salient object detection[C]. International Conference on Computer Vision. IEEE Computer Society, 2011: 914-921.

[8] BORJI A, SIHITE D N, ITTI L. What/Where to look next? Modeling top-down visual attention in complex interactive environments [J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2014, 44(5): 523-538.

[9] ZHAO Q, KOCH C. Learning a saliency map using fixated locations in natural scenes [J].Journal of vision, 2011, 11(3): 1-9.

[10] ACHANTA R, SHAJI A, SMITH K, et al.. SLIC superpixels compared to state-of-the-art superpixel methods [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(11): 2274-2282.

[11] QIN Y, LU H, XU Y, et al.. Saliency detection via cellular automata[C]. Computer Vision & Pattern Recognition. IEEE, 2015: 110-119.

[12] YE L, LIU Z, LI L, et al.. Salient object segmentation via effective integration of saliency and objectness [J]. IEEE Transactions on Multimedia, 2017: 1-1.

[13] 宋策, 张葆, 宋玉龙, 等. 基于场景辅助特征的T-S目标跟踪 [J]. 光学 精密工程, 2018, 26(8): 2122-2131.

    SONG C, ZHANG B, SONG Y L, et al.. T-S tracking algorithm based on context auxiliary feature [J]. Opt. Precision Eng., 2018, 26(8): 2122-2131. (in Chinese)

[14] 赵东波, 李辉. 基于中心矩特征和GA-BP神经网络的雷达目标识别 [J]. 红外与激光工程, 2018, 47(8): 826005-0826005(7).

    ZHAO D B, LI H. Radar target recognition based on central moment feature and GA-BP neural network [J]. Infrared and Laser Engineering, 2018, 47(8): 826005-0826005(7). (in Chinese)

[15] BATRA D, KOWDLE A, PARIKH D, et al.. iCoseg: Interactive co-segmentation with intelligent scribble guidance[C]. Computer Vision & Pattern Recognition. IEEE, 2010: 3169-3176.

[16] WINN J, CRIMINISI A, MINKA T. Object categorization by learned universal visual dictionary[C]. Tenth IEEE International Conference on Computer Vision. IEEE, 2005: 1800-1807.

[17] FU H, CAO X, TU Z. Cluster-based co-saliency detection [J]. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 2013, 22(10): 3766-3778.

[18] LI Y, FU K, LIU Z, et al.. Efficient saliency-model-guided visual co-saliency detection [J]. IEEE Signal Processing Letters, 2014, 22(5): 588-592.

[19] CAO X, TAO Z, ZHANG B, et al.. Self-adaptively weighted co-saliency detection via rank constraint [J]. IEEE Transactions on Image Processing, 2014, 23(9): 4175-4186.

[20] LIU Z, ZOU W, LI L, et al.. Co-saliency detection based on hierarchical segmentation [J]. IEEE Signal Processing Letters, 2013, 21(1): 88-92.

金志刚, 李静昆. 基于对象性和多层线性模型的协同显著性检测[J]. 光学 精密工程, 2019, 27(8): 1845. JIN Zhi-gang, LI Jing-kun. Co-saliency detection based on objectness and multi-layer linear model[J]. Optics and Precision Engineering, 2019, 27(8): 1845.

本文已被 4 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!