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Image Forgery Localization Based on Multi-Scale Convolutional Neural
  Networks

Image Forgery Localization Based on Multi-Scale Convolutional Neural Networks

13 June 2017
Yanfei Liu
Qingxiao Guan
Xianfeng Zhao
Q. Qin
ArXivPDFHTML

Papers citing "Image Forgery Localization Based on Multi-Scale Convolutional Neural Networks"

6 / 6 papers shown
Title
Smart Data Representations: Impact on the Accuracy of Deep Neural
  Networks
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
Oliver Neumann
Nicole Ludwig
Marian Turowski
Benedikt Heidrich
V. Hagenmeyer
Ralf Mikut
AI4TS
42
1
0
17 Nov 2021
Remote Sensing Image Scene Classification Meets Deep Learning:
  Challenges, Methods, Benchmarks, and Opportunities
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
Gong Cheng
Xingxing Xie
Junwei Han
Lei Guo
Guisong Xia
VLM
41
622
0
03 May 2020
DeepFake Detection: Current Challenges and Next Steps
DeepFake Detection: Current Challenges and Next Steps
Siwei Lyu
55
158
0
11 Mar 2020
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Yuezun Li
Xin Yang
Pu Sun
H. Qi
Siwei Lyu
149
1,049
0
27 Sep 2019
Building Damage Annotation on Post-Hurricane Satellite Imagery Based on
  Convolutional Neural Networks
Building Damage Annotation on Post-Hurricane Satellite Imagery Based on Convolutional Neural Networks
Q. D. Cao
Youngjun Choe
21
21
0
04 Jul 2018
Recasting Residual-based Local Descriptors as Convolutional Neural
  Networks: an Application to Image Forgery Detection
Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection
D. Cozzolino
Giovanni Poggi
L. Verdoliva
101
324
0
14 Mar 2017
1