计算机科学 ›› 2019, Vol. 46 ›› Issue (3): 48-52.doi: 10.11896/j.issn.1002-137X.2019.03.006
吴加莹1,杨赛1,2,堵俊1,林宏达1
WU Jia-ying1,YANG Sai1,2,DU Jun1,LIN Hong-da1
摘要: 文中对显著性目标检测(Salient Object Detection)领域内的国内外发展现状进行了综述。首先,介绍了显著性目标检测的研究背景和发展历程;然后,根据各个模型所使用特征的不同,分别从手工设计特征和深度学习特征这两个方面对显著性计算进行综述,在论述基于手工设计特征的显著性计算的研究进展时,将其细分为基于对比度先验的显著性计算、基于前景先验的显著性计算以及基于背景先验的显著性计算3个子类,并对每个类别中的若干典型算法的建模思路进行了描述;最后,进行分析与总结,并指出显著性目标检测领域仍需解决的问题及未来的研究方向。
中图分类号:
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