Segmentation of Lesions in Skin Image Based on Salient Object Detection with Deeply Supervised Learning

2018 ◽  
Author(s):  
Weijia Ji ◽  
Lizhi Cai ◽  
Wei Chen ◽  
Mingang Chen ◽  
Gang Chai
Keyword(s):  
Object Detection ◽  
Supervised Learning ◽  
Salient Object Detection ◽  
Salient Object

Salient Object Detection Based on Deep Residual Networks and Edge Supervised Learning

2019 ◽  
Vol 56 (15) ◽  
pp. 151502
Author(s):  
时斐斐 Feifei Shi ◽  
张松龙 Songlong Zhang ◽  
彭力 Li Peng
Keyword(s):  
Object Detection ◽  
Supervised Learning ◽  
Salient Object Detection ◽  
Salient Object

Webly-supervised learning for salient object detection

2020 ◽  
Vol 103 ◽  
pp. 107308 ◽  
Author(s):  
Ao Luo ◽  
Xin Li ◽  
Fan Yang ◽  
Zhicheng Jiao ◽  
Hong Cheng
Keyword(s):  
Object Detection ◽  
Supervised Learning ◽  
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 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
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