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LeNo: Adversarial Robust Salient Object Detection Networks with
  Learnable Noise

LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise

27 October 2022
He Tang
Lin Wan
He Wang
ArXivPDFHTML

Papers citing "LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise"

31 / 31 papers shown
Title
MobileSal: Extremely Efficient RGB-D Salient Object Detection
MobileSal: Extremely Efficient RGB-D Salient Object Detection
Yu-Huan Wu
Yun-Hai Liu
Jun Xu
Jiawang Bian
Yuchao Gu
Ming-Ming Cheng
66
106
0
24 Dec 2020
EDN: Salient Object Detection via Extremely-Downsampled Network
EDN: Salient Object Detection via Extremely-Downsampled Network
Yu-Huan Wu
Yun-Hai Liu
Le Zhang
Ming-Ming Cheng
Bo Ren
60
148
0
24 Dec 2020
Accurate RGB-D Salient Object Detection via Collaborative Learning
Accurate RGB-D Salient Object Detection via Collaborative Learning
Wei Ji
Jingjing Li
Miao Zhang
Yongri Piao
Huchuan Lu
67
159
0
23 Jul 2020
Suppress and Balance: A Simple Gated Network for Salient Object
  Detection
Suppress and Balance: A Simple Gated Network for Salient Object Detection
Xiaoqi Zhao
Youwei Pang
Lihe Zhang
Huchuan Lu
Lei Zhang
75
418
0
16 Jul 2020
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
Deng-Ping Fan
Ge-Peng Ji
Tao Zhou
Geng Chen
Huazhu Fu
Jianbing Shen
Ling Shao
ODL
180
1,171
0
13 Jun 2020
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification
  and Segmentation
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Yu-Huan Wu
Shanghua Gao
Jie Mei
Jun Xu
Deng-Ping Fan
Chao Zhao
Ming-Ming Cheng
54
379
0
15 Apr 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve
  Adversarial Robustness
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness
Ahmadreza Jeddi
M. Shafiee
Michelle Karg
C. Scharfenberger
A. Wong
OOD
AAML
105
66
0
02 Mar 2020
CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse
CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse
Hao Chen
Youfu Li
ObjD
40
23
0
20 Sep 2019
EGNet:Edge Guidance Network for Salient Object Detection
EGNet:Edge Guidance Network for Salient Object Detection
Jiaxing Zhao
Jiangjiang Liu
Deng-Ping Fan
Yang Cao
Jufeng Yang
Ming-Ming Cheng
101
910
0
22 Aug 2019
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and
  Large-Scale Benchmarks
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
Deng-Ping Fan
Zheng Lin
Jiaxing Zhao
Yun-Hai Liu
Zhao Zhang
Qibin Hou
Menglong Zhu
Ming-Ming Cheng
54
517
0
15 Jul 2019
ROSA: Robust Salient Object Detection against Adversarial Attacks
ROSA: Robust Salient Object Detection against Adversarial Attacks
Haofeng Li
Guanbin Li
Yizhou Yu
AAML
37
28
0
09 May 2019
Toward Convolutional Blind Denoising of Real Photographs
Toward Convolutional Blind Denoising of Real Photographs
Shi Guo
Zifei Yan
Peng Sun
W. Zuo
Lei Zhang
86
911
0
12 Jul 2018
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using
  Generative Models
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Pouya Samangouei
Maya Kabkab
Rama Chellappa
AAML
GAN
82
1,176
0
17 May 2018
Stochastic Activation Pruning for Robust Adversarial Defense
Stochastic Activation Pruning for Robust Adversarial Defense
Guneet Singh Dhillon
Kamyar Azizzadenesheli
Zachary Chase Lipton
Jeremy Bernstein
Jean Kossaifi
Aran Khanna
Anima Anandkumar
AAML
62
546
0
05 Mar 2018
Spatially Transformed Adversarial Examples
Spatially Transformed Adversarial Examples
Chaowei Xiao
Jun-Yan Zhu
Yue Liu
Warren He
M. Liu
D. Song
AAML
72
522
0
08 Jan 2018
Defense against Adversarial Attacks Using High-Level Representation
  Guided Denoiser
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser
Fangzhou Liao
Ming Liang
Yinpeng Dong
Tianyu Pang
Xiaolin Hu
Jun Zhu
83
883
0
08 Dec 2017
Generative Adversarial Perturbations
Generative Adversarial Perturbations
Omid Poursaeed
Isay Katsman
Bicheng Gao
Serge J. Belongie
AAML
GAN
WIGM
64
355
0
06 Dec 2017
Towards Robust Neural Networks via Random Self-ensemble
Towards Robust Neural Networks via Random Self-ensemble
Xuanqing Liu
Minhao Cheng
Huan Zhang
Cho-Jui Hsieh
FedML
AAML
88
418
0
02 Dec 2017
Mitigating Adversarial Effects Through Randomization
Mitigating Adversarial Effects Through Randomization
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Zhou Ren
Alan Yuille
AAML
99
1,054
0
06 Nov 2017
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GAN
AAML
160
600
0
31 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
269
12,029
0
19 Jun 2017
MagNet: a Two-Pronged Defense against Adversarial Examples
MagNet: a Two-Pronged Defense against Adversarial Examples
Dongyu Meng
Hao Chen
AAML
46
1,206
0
25 May 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural
  Networks
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Weilin Xu
David Evans
Yanjun Qi
AAML
69
1,260
0
04 Apr 2017
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
219
18,195
0
02 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
465
62,122
0
04 Jun 2015
Visual Saliency Based on Multiscale Deep Features
Visual Saliency Based on Multiscale Deep Features
Guanbin Li
Yizhou Yu
FAtt
90
1,224
0
30 Mar 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
208
2,534
0
11 Feb 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
233
19,017
0
20 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
155
3,270
0
05 Dec 2014
The Secrets of Salient Object Segmentation
The Secrets of Salient Object Segmentation
Yin Li
Xiaodi Hou
Christof Koch
James M. Rehg
Alan Yuille
64
1,225
0
11 Jun 2014
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