scholarly journals Weakly supervised salient object detection via double object proposals guidance

2021 ◽  
Author(s):  
Zhiheng Zhou ◽  
Yongfan Guo ◽  
Ming Dai ◽  
Junchu Huang ◽  
Xiangwei Li
Keyword(s):  
Object Detection ◽  
Salient Object Detection ◽  
Salient Object ◽  
Double Object ◽  
Object Proposals ◽  
Weakly Supervised

scholarly journals Weakly Supervised Salient Object Detection Based on Image Semantics

2021 ◽  
Vol 33 (2) ◽  
pp. 270-277
Author(s):  
Shimin Zhao ◽  
Pengjie Wang ◽  
Qian Cao ◽  
Haiyu Song ◽  
Wei Li
Keyword(s):  
Object Detection ◽  
Salient Object Detection ◽  
Salient Object ◽  
Image Semantics ◽  
Weakly Supervised

Weakly-Supervised Salient Object Detection With Saliency Bounding Boxes

2021 ◽  
Vol 30 ◽  
pp. 4423-4435
Author(s):  
Yuxuan Liu ◽  
Pengjie Wang ◽  
Ying Cao ◽  
Zijian Liang ◽  
Rynson W. H. Lau
Keyword(s):  
Object Detection ◽  
Salient Object Detection ◽  
Salient Object ◽  
Weakly Supervised ◽  
Bounding Boxes

scholarly journals Weakly Supervised Video Salient Object Detection

2021 ◽  
Author(s):  
Wangbo Zhao ◽  
Jing Zhang ◽  
Long Li ◽  
Nick Barnes ◽  
Nian Liu ◽  
...  
Keyword(s):  
Object Detection ◽  
Salient Object Detection ◽  
Salient Object ◽  
Weakly Supervised

scholarly journals Weakly Supervised Salient Object Detection With Spatiotemporal Cascade Neural Networks

2019 ◽  
Vol 29 (7) ◽  
pp. 1973-1984 ◽  
Author(s):  
Yi Tang ◽  
Wenbin Zou ◽  
Zhi Jin ◽  
Yuhuan Chen ◽  
Yang Hua ◽  
...  
Keyword(s):  
Neural Networks ◽  
Object Detection ◽  
Salient Object Detection ◽  
Salient Object ◽  
Weakly Supervised

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.

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