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Copy-move detection method based on Decoupled Edge Supervision and multi-domain cross correlation modeling

Multimedia Tools and Applications 2025年第18期84卷 20079-20101页

作者： Jing, Niantai Nie, Jie Wang, Jingyu Wang, Xiaodong Liang, Xinyue Gao, Xuesong Faculty of Information Science and Engineering Ocean University of China QingDao China Qingdao Hisense State Key Laboratory of Digital Multimedia Technology QingDao China

Copy move forgery detection is defined as the process of moving one region in the image (the source region) to another region in the image (the tampered region). Common classification methods include copy move forgery location (CMFL, which does not distinguish between source regions and tampered regions) while existing copy move source target detection (CMSTD) use limited information to distinguish the source and region. Since the edges of the tampered region able to act as the important clues such as blurring, bringing the challenge of detecting the copy-move forgery target with the complete structure. Therefore, we propose a Copy-move Detection Method based on Decoupled Edge Supervision and Multi-domain Cross Correlation (DM-Net), including Multi-scale Similar Region Detection module (MSD), Decoupled Edge Supervision module (DEM), and Multi-domain Correlation Modeling module (MCM), which can overcome the problem that the tamper trace is fuzzy caused by the post-processing operation. Specifically, the MSD module is proposed to extract coarse similar regions by multi-scale method. The DEM module is proposed to extract the tamper region by the method of decoupling edge supervision, which avoids information redundancy while using shallow edge features. The MCM module conducts cross-correlation modeling between the tampered, source and similar region, further optimizes detection targets of similar region by mining the correlation among multiple domains. By adding edge information, we can improve the efficiency of distinguishing source and target regions by 2%. We performed experiments on USC-ISI data set, and the accuracy was improved by 0.21% compared with CNN-T GAN method, and the F1-score index was improved by 0.87% compared with DOA-GAN. The accuracy of CASIA v2.0 data set is 2.89% higher than that of Busternet method, and the precision index is 3.98% higher than that of CMSD-STRD method on source. The accuracy of CoMoFoD data set is improved by 0.93% compared with

关键词： Classification (of information)

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Fine-Grained Cross-Modal Fusion Based Refinement for Text-to-Image Synthesis

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Chinese Journal of Electronics 2023年第6期32卷 1329-1340页

作者： SUN Haoran WANG Yang LIU Haipeng QIAN Biao Department of Computer Science and Information Engineering Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data Ministry of EducationHefei University of Technology

Text-to-image synthesis refers to generating visual-realistic and semantically consistent images from given textual descriptions. Previous approaches generate an initial low-resolution image and then refine it to be high-resolution. Despite the remarkable progress, these methods are limited in fully utilizing the given texts and could generate text-mismatched images, especially when the text description is complex. We propose a novel finegrained text-image fusion based generative adversarial networks(FF-GAN), which consists of two modules: Finegrained text-image fusion block(FF-Block) and global semantic refinement(GSR). The proposed FF-Block integrates an attention block and several convolution layers to effectively fuse the fine-grained word-context features into the corresponding visual features, in which the text information is fully used to refine the initial image with more details. And the GSR is proposed to improve the global semantic consistency between linguistic and visual features during the refinement process. Extensive experiments on CUB-200 and COCO datasets demonstrate the superiority of FF-GAN over other state-of-the-art approaches in generating images with semantic consistency to the given texts.

关键词： Visualization Fuses Convolution Semantics Linguistics Benchmark testing Generative adversarial networks

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Re-usable Cd_(0.9)Zn_(0.1)S-ZnO@C/PVDF piezo-photocatalytic film with exceptional hydrogen evolution capability triggered by the synergetic advantages of piezoelectricity and S-Scheme heterojunction

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Journal of Energy Chemistry 2024年第9期96卷 164-176页

作者： Ping Su Dong Zhang Minghui Zhu Tengteng Liang Nan Yang Huaihao Zhao Dafeng Zhang Junchang Liu Peiqing Cai Xipeng Pu School of Materials Science and Engineering Shandong Provincial Key Laboratory of Chemical Energy Science and Novel Cell TechnologyLiaocheng UniversityLiaocheng 252000ShandongChina School of Physics Science and Information Technology Shandong Key Laboratory of Optical Communication Sciencend TechnologyLiaocheng UniversityLiaocheng 252000ShandongChina College of Optical and Electronic Technology China Jiliang UniversityHangzhou 310018ZhejiangChina

Piezoelectric materials have advantages of fine-tuning photocatalytic performance through harvesting mechanical energy and open a new avenue in facilitating green catalytic ***,polyvinylidene fluoride(PVDF),a flexible piezoelectric material,was introduced to synthesize a novel Cd_(0.9)Zn_(0.1)S-ZnO@C/PVDF(CZS-ZO@C/PVDF)piezo-photocatalytic film by spin coating and immersion phase conversion *** from the piezoelectricity of PVDF and the internal electric field(IEF)of CZS-ZO@C Step-scheme(S-Scheme)heterojunction,CZS-ZO@C/PVDF was able to induce a hydrogen generation rate of 34.9 mmol g^(−1)h^(−1)activated by ultrasound and visible light(U-L),which is∼17.5 times of Cd_(0.9)Zn_(0.1)S/PVDF(CZS/PVDF)and∼7.4 times of the photocatalysis rate activated by visible light only(L).Piezoelectric measurements and COMSOL simulation illustrated the excellent piezoelectricity of CZS-ZO@C/PVDF film,which exhibits a piezoelectric coefficient(d33)of 9.9 pm V−1 and a piezoelectric potential of 874 mV(under 0.5 MPa).The reaction mechanism for the exceptional piezo-photocatalytic performance was finally disclosed through density functional theory(DFT)calculation and electrochemical *** study enriches the application scope of piezoelectric materials in sustainable energy catalysis and provides a new direction to develop efficient piezoelectric photocatalysts.

关键词： Piezo-photocatalysis Heterojunction Cd_(0.9)Zn_(0.1)S Zno@c PVDF

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Thermochromic Smart Windows with Ultra-High Solar Modulation and Ultra-Fast Responsive Speed Based on Solid–Liquid Switchable Hydrogels

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Research 2024年第4期2024卷 2-13页

作者： Guangjun Zhu Gang Xu Yu Zhang Guo Lu Xuan Cai Wei Zhang Wei She Changwen Miao State Key Laboratory of High Performance Civil Engineering Materials Southeast UniversityNanjing 211189China School of Materials Science and Engineering Southeast UniversityNanjing 211189China Jiangsu Key Laboratory of Advanced Metallic Materials Southeast UniversityNanjing 211189China School of Civil Engineering and Architecture Shandong University of Science and TechnologyQingdao 266590China Wuhan National Laboratory for Optoelectronics School of Optical and Electronic InformationHuazhong University of Science and TechnologyWuhan 430074China

Thermo-responsive hydrogels can dynamically modulate incident light,providing a broad prospect for development of smart windows,which are of pivotal importance for energy conservation in ***,these hydrogels normally exhibit slow response speed and tend to contract over extended phase transition,compromising structural integrity of smart *** this study,a solid–liquid switchable thermochromic hydrogel,denoted as SL-PNIPAm,was synthesized by cross-linking PNIPAm with AMEO through dynamic imine *** to its distinctive solid–liquid transformation characteristics,SL-PNIPAm demonstrates rapid response time(within 5 s)and retains structural integrity without undergoing shrinkage during heating/cooling and freezing/thawing cycles.

关键词： bonds linking freezing

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Enhancing the Performance of BOCDA Sensor using Deconvolution Algorithm

Enhancing the Performance of BOCDA Sensor using Deconvolutio...

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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Chen, Shuyan Zhao, Zhiyong He, Huan Wei, Weilun Zou, Xuan Tang, Ming National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China

We have achieved a fourfold-improved spatial resolution and a much wider dynamic range without extra system hardware complexity by using deconvolution algorithm to post-process the data of traditional BOCDA sensor. &#... 详细信息

ISBN: (纸本)9781957171395

关键词： Deconvolution

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Urea-induced interfacial engineering enabling highly reversible aqueous zinc-ion battery

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Rare Metals 2024年第4期43卷 1599-1609页

作者： Bin-Rui Xu Quan-An Li Yong Liu Guang-Bin Wang Zi-He Zhang Feng-Zhang Ren School of Material Science and Engineering Henan University of Science and TechnologyLuoyang471023China School of Information Engineering Henan University of Science and TechnologyLuoyang471023China Longmen Laboratory Luoyang471023China Provincial and Ministerial Co-Construction of Collaborative Innovation Center for Non-Ferrous Metal New Materials and Advanced Processing Technology Luoyang471023China

Aqueous zinc-ion batteries(AZIBs)have been regarded as prospective rechargeable energy storage devices because of the high theoretical capacity and low redox potential of Zn ***,the uncontrollable formation of dendrites and the water-induced side reactions at the Zn/electrolyte interface,and the poor reversibility under a high current density(>2 mA·cm^(-2))and large area capacity(>2 mAh·cm^(-2))still limit the practical applications of ***,a strategy that can overcome these difficulties is urgently ***,we introduce an environmentally friendly and low-cost additive,namely urea,to the electrolyte of AZIBs to induce uniform Zn deposition and suppress the side *** of the adsorption behavior,electrochemical characterization,and observations of the morphology revealed the interfacial modification induced by urea on the Zn/electrolyte interface,demonstrating its huge potential in ***,the long-term cycling stability(over2100 h)of a Zn/Zn symmetric cell under a high current density of 5 mA·cm^(-2)and a capacity of 5 mAh·cm^(-2)was achieved with a 1 mol·L^(-1)ZnSO_(4)electrolyte with the urea ***,the assembled Zn/NH_4V_4O_(10)full cell with urea exhibited excellent cycling performance and an outstanding average Coulombic efficiency of 99.98%.These results indicate that this is a low-cost and effective additive strategy for realizing highly reversible AZIBs.

关键词： Zn anode Urea additive Interface engineering Dendrite growth Side reaction

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Vector Bending Sensor Based on Tapered Few-Mode Multi-Core Fiber Enabled by Power Monitoring

Vector Bending Sensor Based on Tapered Few-Mode Multi-Core F...

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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Liu, Zhuyixiao Jiang, Zijian Wu, Qixuan Zhang, Fengming Du, Haoze Yao, Yucheng Zhao, Luming Tang, Ming National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China

We proposed a vector bending sensor based on tapered few-mode multi-core fiber. The sensor could accomplish the recognition of direction and curvature through only power monitoring. The theoretical curvature sensitivity is higher than 0.14/m-1 within the interval of 2.5 m-1 to 10 m-1 © Optica Publishing Group 2024

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Adaptive Graph Embedding With Consistency and Specificity for Domain Adaptation

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IEEE/CAA Journal of Automatica Sinica 2023年第11期10卷 2094-2107页

作者： Shaohua Teng Zefeng Zheng Naiqi Wu Luyao Teng Wei Zhang School of Computer Science and Technology Guangdong University of TechnologyGuangzhou 510006China Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems Macao University of Science and TechnologyMacao 999078China School of Information Engineering Guangzhou Panyu PolytechicGuangzhou 511483China Faculty of Information Technology Monash University20 Exhibition Walk ClaytonVIC 3800Australia IEEE

Domain adaptation(DA) aims to find a subspace,where the discrepancies between the source and target domains are reduced. Based on this subspace, the classifier trained by the labeled source samples can classify unlabeled target samples *** approaches leverage Graph Embedding Learning to explore such a subspace. Unfortunately, due to 1) the interaction of the consistency and specificity between samples, and 2) the joint impact of the degenerated features and incorrect labels in the samples, the existing approaches might assign unsuitable similarity, which restricts their performance. In this paper, we propose an approach called adaptive graph embedding with consistency and specificity(AGE-CS) to cope with these issues. AGE-CS consists of two methods, i.e., graph embedding with consistency and specificity(GECS), and adaptive graph embedding(AGE).GECS jointly learns the similarity of samples under the geometric distance and semantic similarity metrics, while AGE adaptively adjusts the relative importance between the geometric distance and semantic similarity during the iterations. By AGE-CS,the neighborhood samples with the same label are rewarded,while the neighborhood samples with different labels are punished. As a result, compact structures are preserved, and advanced performance is achieved. Extensive experiments on five benchmark datasets demonstrate that the proposed method performs better than other Graph Embedding methods.

关键词： Adaptive adjustment consistency and specificity domain adaptation graph embedding geometrical and semantic metrics

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Rapid Reconnaissance of Fixed Targets on the ground by Multiple UAVs

Rapid Reconnaissance of Fixed Targets on the ground by Multi...

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2024 International Conference on Remote Sensing, Mapping, and Image Processing, RSMIP 2024

作者： Yao, Kaiqi Liu, Bin Zhu, Xianqiang National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha China

ISBN: (纸本)9781510680012

UAV reconnaissance has many advantages, such as high reliability, strong flexibility and wide coverage. When using unmanned aerial vehicles to scout targets, it is often necessary to quickly scout many fixed targets. If it is obviously unreasonable to send one unmanned aerial vehicle for each target, it is also unreasonable to send one unmanned aerial vehicle to scout all targets. At the same time, we should also consider the actual needs, such as our own safety and the number of airport reconnaissance drones. Considering many factors, a fast reconnaissance model of multi-UAV fixed targets on the ground is established, and the minimum number of UAV sorties needed for reconnaissance of all targets is obtained by combining branch and bound method and modified combined optimization algorithm. The modified Dijkstra algorithm is used to determine the appropriate delivery point, which can meet the actual requirements of rapid reconnaissance in the battlefield, considering the factors such as air defense firepower range and transportation conditions. Finally, the feasibility of the model is verified by using simulation data, and the benefits and possible improvements of the model are analyzed. © 2024 SPIE.

关键词： Branch and bound method

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Knowledge Transfer Learning via Dual Density Sampling for Resource-Limited Domain Adaptation

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IEEE/CAA Journal of Automatica Sinica 2023年第12期10卷 2269-2291页

作者： Zefeng Zheng Luyao Teng Wei Zhang Naiqi Wu Shaohua Teng the School of Computer Science and Technology Guangdong University of TechnologyGuangzhou 510006China the School of Information Engineering Guangzhou Panyu PolytechicGuangzhou 511483China the Faculty of Information Technology Monash University20 Exhibition Walk ClaytonVIC 3800Australia IEEE the Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems Macao University of Science and TechnologyMacao 999078China

Most existing domain adaptation(DA) methods aim to explore favorable performance under complicated environments by ***,there are three unsolved problems that limit their efficiencies:ⅰ) they adopt global sampling but neglect to exploit global and local sampling simultaneously;ⅱ)they either transfer knowledge from a global perspective or a local perspective,while overlooking transmission of confident knowledge from both perspectives;and ⅲ) they apply repeated sampling during iteration,which takes a lot of *** address these problems,knowledge transfer learning via dual density sampling(KTL-DDS) is proposed in this study,which consists of three parts:ⅰ) Dual density sampling(DDS) that jointly leverages two sampling methods associated with different views,i.e.,global density sampling that extracts representative samples with the most common features and local density sampling that selects representative samples with critical boundary information;ⅱ)Consistent maximum mean discrepancy(CMMD) that reduces intra-and cross-domain risks and guarantees high consistency of knowledge by shortening the distances of every two subsets among the four subsets collected by DDS;and ⅲ) Knowledge dissemination(KD) that transmits confident and consistent knowledge from the representative target samples with global and local properties to the whole target domain by preserving the neighboring relationships of the target *** analyses show that DDS avoids repeated sampling during the *** the above three actions,confident knowledge with both global and local properties is transferred,and the memory and running time are greatly *** addition,a general framework named dual density sampling approximation(DDSA) is extended,which can be easily applied to other DA *** experiments on five datasets in clean,label corruption(LC),feature missing(FM),and LC&FM environments demonstrate the encouraging performance of KTL-DDS.

关键词： Cross-domain risk dual density sampling intra-domain risk maximum mean discrepancy knowledge transfer learning resource-limited domain adaptation

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