机译:使用基于构图的显着性检测增强图像美感
School of Computer Science and Technology, Tianjin University, Tianjin 300072, China;
School of Computer Science and Technology, Tianjin University, Tianjin 300072, China;
School of Computer Science and Technology, Tianjin University, Tianjin 300072, China,Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China;
State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China;
Saliency detection; Saliency segmentation; Photography composition; Depth of field; Realistic blurring;
机译:使用显着图和图像强度对红外图像进行有效的小目标增强和检测
机译:具有显着性增强特征表示的遥感图像中的热电厂检测
机译:基于局部对比度增强和非本地特征学习的低对比度图像的突出对象检测
机译:显着性重定向:一种增强图像美感的方法
机译:从2D图像进行深度推断和视觉显着性检测。
机译:Web图像中显着对象的分布及其对显着对象检测的影响
机译:增强图像美感的类预测