scholarly journals Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground

2018 ◽  
pp. 196-212 ◽  
Author(s):  
Deng-Ping Fan ◽  
Ming-Ming Cheng ◽  
Jiang-Jiang Liu ◽  
Shang-Hua Gao ◽  
Qibin Hou ◽  
...  
Keyword(s):  
Object Detection ◽  
Salient Object Detection ◽  
Salient Object

Saliency detection in deep learning era: trends of development

2019 ◽  
pp. 10-36 ◽  
Author(s):  
M. N. Favorskaya ◽  
L. C. Jain
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Event Detection ◽  
Visual Analysis ◽  
Saliency Detection ◽  
Salient Object Detection ◽  
Public Image ◽  
Detection Methods ◽  
Salient Object ◽  
Salient Event

Introduction:Saliency detection is a fundamental task of computer vision. Its ultimate aim is to localize the objects of interest that grab human visual attention with respect to the rest of the image. A great variety of saliency models based on different approaches was developed since 1990s. In recent years, the saliency detection has become one of actively studied topic in the theory of Convolutional Neural Network (CNN). Many original decisions using CNNs were proposed for salient object detection and, even, event detection.Purpose:A detailed survey of saliency detection methods in deep learning era allows to understand the current possibilities of CNN approach for visual analysis conducted by the human eyes’ tracking and digital image processing.Results:A survey reflects the recent advances in saliency detection using CNNs. Different models available in literature, such as static and dynamic 2D CNNs for salient object detection and 3D CNNs for salient event detection are discussed in the chronological order. It is worth noting that automatic salient event detection in durable videos became possible using the recently appeared 3D CNN combining with 2D CNN for salient audio detection. Also in this article, we have presented a short description of public image and video datasets with annotated salient objects or events, as well as the often used metrics for the results’ evaluation.Practical relevance:This survey is considered as a contribution in the study of rapidly developed deep learning methods with respect to the saliency detection in the images and videos.

scholarly journals Label Decoupling Framework for Salient Object Detection

2020 ◽  
Author(s):  
Jun Wei ◽  
Shuhui Wang ◽  
Zhe Wu ◽  
Chi Su ◽  
Qingming Huang ◽  
...  
Keyword(s):  
Object Detection ◽  
Salient Object Detection ◽  
Salient Object

scholarly journals Multi-Interactive Dual-Decoder for RGB-Thermal Salient Object Detection

2021 ◽  
pp. 1-1
Author(s):  
Zhengzheng Tu ◽  
Zhun Li ◽  
Chenglong Li ◽  
Yang Lang ◽  
Jin Tang
Keyword(s):  
Object Detection ◽  
Salient Object Detection ◽  
Salient Object

CDNet: Complementary Depth Network for RGB-D Salient Object Detection

2021 ◽  
pp. 1-1
Author(s):  
Wen-Da Jin ◽  
Jun Xu ◽  
Qi Han ◽  
Yi Zhang ◽  
Ming-Ming Cheng
Keyword(s):  
Object Detection ◽  
Salient Object Detection ◽  
Salient Object

Infrared salient object detection based on global guided lightweight non-local deep features

2021 ◽  
Vol 115 ◽  
pp. 103672
Author(s):  
Zhaoying Liu ◽  
Xuesi Zhang ◽  
Tianpeng Jiang ◽  
Ting Zhang ◽  
Bo Liu ◽  
...  
Keyword(s):  
Object Detection ◽  
Salient Object Detection ◽  
Salient Object ◽  
Non Local

scholarly journals Depth Guided Cross-modal Residual Adaptive Network for RGB-D Salient Object Detection

2021 ◽  
Vol 1873 (1) ◽  
pp. 012024
Author(s):  
Zhengyun Zhao ◽  
Qingpeng Yang ◽  
Shangqin Yang ◽  
Jun Wang
Keyword(s):  
Object Detection ◽  
Salient Object Detection ◽  
Salient Object ◽  
Adaptive Network
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