{"id":"https://openalex.org/W4405754116","doi":"https://doi.org/10.1109/tmm.2024.3521685","title":"DCM-Net: A Diffusion Model-Based Detection Network Integrating the Characteristics of Copy-Move Forgery","display_name":"DCM-Net: A Diffusion Model-Based Detection Network Integrating the Characteristics of Copy-Move Forgery","publication_year":2024,"publication_date":"2024-12-24","ids":{"openalex":"https://openalex.org/W4405754116","doi":"https://doi.org/10.1109/tmm.2024.3521685"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3521685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521685","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070111961","display_name":"Shaowei Weng","orcid":"https://orcid.org/0000-0003-1037-7699"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaowei Weng","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053714993","display_name":"Jianhao Zhang","orcid":"https://orcid.org/0000-0001-6988-2935"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhao Zhang","raw_affiliation_strings":["Department of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051679734","display_name":"Tianhui Zhu","orcid":"https://orcid.org/0000-0002-1082-5175"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tanguo Zhu","raw_affiliation_strings":["School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067543068","display_name":"Lifang Yu","orcid":"https://orcid.org/0000-0002-0508-7526"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifang Yu","raw_affiliation_strings":["Department of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100439759","display_name":"Chunyu Zhang","orcid":"https://orcid.org/0009-0001-1525-1895"},"institutions":[{"id":"https://openalex.org/I165225704","display_name":"Xizang Minzu University","ror":"https://ror.org/042170a43","country_code":"CN","type":"education","lineage":["https://openalex.org/I165225704"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyu Zhang","raw_affiliation_strings":["College of Information Engineering, Xizang Minzu University, Xianyang, China","College of information engineering, Xizang Minzu university, Xianyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Xizang Minzu University, Xianyang, China","institution_ids":["https://openalex.org/I165225704"]},{"raw_affiliation_string":"College of information engineering, Xizang Minzu university, Xianyang, China","institution_ids":["https://openalex.org/I165225704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5070111961"],"corresponding_institution_ids":["https://openalex.org/I83791580"],"apc_list":null,"apc_paid":null,"fwci":2.049,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89259067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"27","issue":null,"first_page":"503","last_page":"514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9473999738693237,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8520046472549438},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4764837920665741},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.38179317116737366},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.32783201336860657}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8520046472549438},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4764837920665741},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.38179317116737366},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32783201336860657},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3521685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521685","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2669521264","display_name":null,"funder_award_id":"62071434","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5918004547","display_name":null,"funder_award_id":"62262062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6897005890","display_name":null,"funder_award_id":"Ec202410","funder_id":"https://openalex.org/F4320327376","funder_display_name":"Beijing Institute of Graphic Communication"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327376","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1490753124","https://openalex.org/W1586681179","https://openalex.org/W1861492603","https://openalex.org/W1975890006","https://openalex.org/W2035432621","https://openalex.org/W2046686077","https://openalex.org/W2118613125","https://openalex.org/W2146928515","https://openalex.org/W2194775991","https://openalex.org/W2407845667","https://openalex.org/W2417511053","https://openalex.org/W2489165573","https://openalex.org/W2518397542","https://openalex.org/W2795299328","https://openalex.org/W2892277327","https://openalex.org/W2895129173","https://openalex.org/W2897180259","https://openalex.org/W2922509574","https://openalex.org/W2964146055","https://openalex.org/W2994892543","https://openalex.org/W3013316990","https://openalex.org/W3034779438","https://openalex.org/W3090538384","https://openalex.org/W3112375996","https://openalex.org/W3172752666","https://openalex.org/W3183430956","https://openalex.org/W3198733693","https://openalex.org/W4289516610","https://openalex.org/W4294811247","https://openalex.org/W4367146877","https://openalex.org/W4372347372","https://openalex.org/W4385245566","https://openalex.org/W4390873752","https://openalex.org/W6634031272","https://openalex.org/W6771062828","https://openalex.org/W6779823529","https://openalex.org/W6783713337"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Essentially,":[0],"directly":[1],"introducing":[2],"any":[3],"object":[4,22],"detection":[5,11,17,23,84,137,152,214],"network":[6,24],"to":[7,15,76,87,106,126,141,150,172],"perform":[8],"copy-move":[9,34],"forgery":[10],"(CMFD)":[12],"inevitably":[13],"leads":[14],"low":[16],"accuracy.":[18],"Therefore,":[19],"DCM-Net,":[20,46],"an":[21,119],"dominated":[25],"by":[26],"diffusion":[27,50,74],"model":[28],"that":[29,102,204],"incorporates":[30],"the":[31,48,55,60,128,135,177],"characteristics":[32],"of":[33,133,212],"forgery,":[35],"is":[36,124],"proposed":[37,125,171],"in":[38,73,210],"this":[39],"paper":[40],"for":[41],"obviously":[42],"enhancing":[43],"CMFD":[44,52,100],"performance.":[45],"as":[47],"first":[49],"model-based":[51],"network,":[53],"has":[54],"following":[56],"three":[57,194],"improvements.":[58],"Firstly,":[59],"high-similarity":[61,66,91],"box":[62],"padding":[63],"strategy":[64,123],"pads":[65],"boxes,":[67,79],"rather":[68],"than":[69],"random":[70],"boxes":[71],"used":[72],"model,":[75],"ground":[77],"truth":[78],"better":[80],"guiding":[81],"subsequent":[82],"dual-attention":[83],"heads":[85,153],"(DDHs)":[86],"focus":[88],"more":[89,142,155],"on":[90,193],"regions.":[92,148],"Secondly,":[93],"different":[94],"from":[95,113],"previous":[96],"deep":[97],"learning":[98],"based":[99],"networks":[101],"utilize":[103],"self-correlation":[104],"calculation":[105],"indiscriminately":[107],"transform":[108],"all":[109],"classification":[110],"features":[111,175],"extracted":[112],"feature":[114,121,130],"extraction":[115],"into":[116],"high-similarly":[117],"features,":[118],"adaptive":[120],"combination":[122],"obtain":[127],"optimal":[129],"transformation":[131],"capable":[132],"achieving":[134],"best":[136],"performance,":[138],"enabling":[139],"DDHs":[140,161],"effectively":[143],"distinguish":[144],"source":[145],"and":[146,159,167,183,201,216],"target":[147],"Finally,":[149],"make":[151],"have":[154],"accurate":[156],"source/target":[157,217],"localization":[158],"distinguishment,":[160],"equipped":[162],"with":[163],"efficient":[164],"multi-scale":[165],"attention":[166],"contextual":[168,185],"transformer,":[169],"are":[170],"generate":[173],"tampered":[174],"fusing":[176],"entire":[178],"precise":[179],"spatial":[180],"position":[181],"information":[182],"rich":[184],"global":[186],"information.":[187],"The":[188],"experimental":[189],"results":[190],"carried":[191],"out":[192],"publicly":[195],"available":[196],"datasets":[197],"including":[198],"USC-ISI,":[199],"CoMoFoD,":[200],"COVERAGE,":[202],"demonstrate":[203],"DCM-Net":[205],"outperforms":[206],"several":[207],"advanced":[208],"algorithms":[209],"terms":[211],"similarity":[213],"ability":[215],"differentiation":[218],"ability.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
