scholarly journals Detect and defense against adversarial examples in deep learning using natural scene statistics and adaptive denoising

Author(s):  
Anouar Kherchouche ◽  
Sid Ahmed Fezza ◽  
Wassim Hamidouche
2021 ◽  
Vol 26 (1) ◽  
pp. 200-215
Author(s):  
Muhammad Alam ◽  
Jian-Feng Wang ◽  
Cong Guangpei ◽  
LV Yunrong ◽  
Yuanfang Chen

AbstractIn recent years, the success of deep learning in natural scene image processing boosted its application in the analysis of remote sensing images. In this paper, we applied Convolutional Neural Networks (CNN) on the semantic segmentation of remote sensing images. We improve the Encoder- Decoder CNN structure SegNet with index pooling and U-net to make them suitable for multi-targets semantic segmentation of remote sensing images. The results show that these two models have their own advantages and disadvantages on the segmentation of different objects. In addition, we propose an integrated algorithm that integrates these two models. Experimental results show that the presented integrated algorithm can exploite the advantages of both the models for multi-target segmentation and achieve a better segmentation compared to these two models.


Ophthalmology ◽  
2021 ◽  
Vol 128 (1) ◽  
pp. 78-88
Author(s):  
Jooyoung Chang ◽  
Jinho Lee ◽  
Ahnul Ha ◽  
Young Soo Han ◽  
Eunoo Bak ◽  
...  

2014 ◽  
Vol 23 (1) ◽  
pp. 450-465 ◽  
Author(s):  
Kwanghyun Lee ◽  
Anush Krishna Moorthy ◽  
Sanghoon Lee ◽  
Alan Conrad Bovik

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