CASIA OpenIR  > 智能感知与计算研究中心
Feature Pyramid Deep Matching and Localization Network for Image Forensics
Kui Ye, Jing Dong, Wei Wang, Bo Peng, Tieniu Tan
2018
Conference NameAPSIPA ASC 2018
Conference Date12-15 November 2018
Conference PlaceHonolulu, Hawaii, USA
PublisherEI
Abstract

Abstract--To advance the state of the art of image foren- sics technologies, a new formulation of splicing localization is proposed, which aims to obtain the masks for both the query and donor images for a pair of query(probe) image and potential donor image if a region of the donor image was spliced into the probe. The former Deep Matching and Validation Network(DMVN) addresses the problem with a novel end-to-end learning based solution. Inheriting the deep dense matching layer, we propose Feature Pyramid Deep Matching and Localization Network(FPLN), whose contributions are three folds. Firstly, in- stead of using just one feature map as in DMVN, FPLN utilizes a pyramid of feature maps with different resolutions w.r.t. the input image to achieve better localization performance, especially for small objects. Secondly, we add a fusion layer that fuses together all the features after deep dense matching layer, which not only takes full advantage of the correlation information between those features, but is also able to integrate two pathways in DMVN into just one simple pathway, simplifying the subsequent architecture. Lastly, we employ focal loss to address the imbalance problem, as the foreground area is usually much smaller than the background area. The experiments demonstrate the superior performance of our proposed method in detection accuracy and in localizing small tempered regions.

DOI10.23919/APSIPA.2018.8659464
Funding ProjectNational Natural Science Foundation of China[U1636201] ; National Key Research and Development Program of China[2016YFB1001003]
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/25843
Collection智能感知与计算研究中心
Corresponding AuthorKui Ye, Jing Dong, Wei Wang, Bo Peng, Tieniu Tan
AffiliationNational Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Kui Ye, Jing Dong, Wei Wang, Bo Peng, Tieniu Tan. Feature Pyramid Deep Matching and Localization Network for Image Forensics[C]:EI,2018.
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