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Go Wide or Go Deep: Levering Watermarking Performance with Computational
  Cost for Specific Images

Go Wide or Go Deep: Levering Watermarking Performance with Computational Cost for Specific Images

25 April 2022
Zhaoyang Jia
Han Fang
Zehua Ma
Weiming Zhang
    WIGM
ArXiv (abs)PDFHTML

Papers citing "Go Wide or Go Deep: Levering Watermarking Performance with Computational Cost for Specific Images"

17 / 17 papers shown
Title
MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of
  Real and Simulated JPEG Compression
MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression
Zhaoyang Jia
Han Fang
Weiming Zhang
54
156
0
18 Aug 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
453
21,439
0
25 Mar 2021
Local Geometric Distortions Resilient Watermarking Scheme Based on
  Symmetry
Local Geometric Distortions Resilient Watermarking Scheme Based on Symmetry
Zehua Ma
Weiming Zhang
Han Fang
Xiaoyi Dong
Linfeng Geng
Nenghai Yu
27
53
0
20 Jul 2020
Hybrid blind robust image watermarking technique based on DFT-DCT and
  Arnold transform
Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform
Mohamed Hamidi
M. Haziti
H. Cherifi
Mohammed El Hassouni
49
100
0
02 Nov 2019
StegaStamp: Invisible Hyperlinks in Physical Photographs
StegaStamp: Invisible Hyperlinks in Physical Photographs
Matthew Tancik
B. Mildenhall
Ren Ng
WIGM
85
374
0
10 Apr 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
133
3,688
0
16 Jan 2019
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks
Mahdi Ahmadi
Alireza Norouzi
S. M. Reza Soroushmehr
N. Karimi
Kayvan Najarian
S. Samavi
Ali Emami
WIGM
36
224
0
16 Oct 2018
HiDDeN: Hiding Data With Deep Networks
HiDDeN: Hiding Data With Deep Networks
Jiren Zhu
Russell Kaplan
Justin Johnson
Li Fei-Fei
WIGM
54
751
0
26 Jul 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
444
13,143
0
07 Feb 2018
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
142
6,995
0
13 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILMAAML
543
5,897
0
08 Jul 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
A Neural Algorithm of Artistic Style
A Neural Algorithm of Artistic Style
Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
GAN
85
2,859
0
26 Aug 2015
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
155
8,077
0
31 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
277
19,066
0
20 Dec 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,667
0
01 May 2014
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