Li. Salient object detection: A survey. ArXiv e-prints, 2014.A. Borji, M. Cheng, Q. Hou, H. Jiang, and J. Li. Salient object detection: A survey. CoRR, abs/1411.5878, 2014. 2Borji, A., Cheng, M., Jiang, H., and Li, J. (2014). Salient object detection: A survey. CoRR...
《Salient Object Detection: A Survey》作者:Ali Borji、Ming-Ming Cheng、Huaizu Jiang and Jia Li 基本按照文章中文献出现的顺序。 一、L. Itti, C. Koch, and E. Niebur, “A model of saliency-based visual attention for rapid scene analysis,” IEEE TPAMI, 1998. 一个用于快速场景分析的基于显著性...
GitHub - taozh2017/RGBD-SODsurvey: RGB-D Salient Object Detection: A Survey 3、RGB-D datasets 开源数据集 4、模型评估与分析 三种衡量办法 Area Under the Curve (AUC)越高越好,计算的是曲线下的面积 F-measure,越高越好 Mean Absolute Error (MAE),越低越好,这是平均错误率 两种经典的非深度方法...
5, No. 2, June 2019, 117–150 Salient object detection: A survey Ali Borji1, Ming-Ming Cheng2 ( ), Qibin Hou2, Huaizu Jiang3, and Jia Li4 c The Author(s) 2019. Abstract Detecting and segmenting salient objects from natural scenes, often referred to as salient object detection, ...
Salient Object Detection: A Survey Ali Borji, Ming–Ming Cheng, Huaizu Jiang and Jia Li Abstract—Detecting and segmenting salient objects in natural scenes, also known as salient object detection, has attracted a lot of focused research in computer vision and has resulted in many applications. ...
Salient object detection, which simulates human visual perception in locating the most significant object(s) in a scene, has been widely applied to various
RGB-T image analysis technology and application: A survey 4RGB-T salient object detection Salient object detection(SOD) aims to distinguish the most visually attractive objects or regions in the scene and can be used in a variety of applications including object segmentation and recognition. In rec...
052018IJCVAttentive systems: A surveyPaper/Project 062018ECCVSalient Objects in Clutter: Bringing Salient Object Detection to the ForegroundPaper/Project 072019CVMSalient object detection: A surveyPaper/Project 082019IEEE TNNLSObject detection with deep learning: A reviewPaper/Project ...
Fully convolutional neural network has shown advantages in the salient object detection by using the RGB or RGB-D images. However, there is an object-part dilemma since most fully convolutional neural network inevitably leads to an incomplete segmentation of the salient object. Although the capsule ...
Research on fast detection and recognition of object features based on feature line matching 2020, Journal of Physics: Conference Series Thresholding in salient object detection: a survey 2018, Multimedia Tools and Applications☆ This paper has been recommended for acceptance by J.K. Kämäräinen...