{"id":"https://openalex.org/W4413062386","doi":"https://doi.org/10.3390/sym17071150","title":"Symmetry-Guided Dual-Branch Network with Adaptive Feature Fusion and Edge-Aware Attention for Image Tampering Localization","display_name":"Symmetry-Guided Dual-Branch Network with Adaptive Feature Fusion and Edge-Aware Attention for Image Tampering Localization","publication_year":2025,"publication_date":"2025-07-18","ids":{"openalex":"https://openalex.org/W4413062386","doi":"https://doi.org/10.3390/sym17071150"},"language":"en","primary_location":{"id":"doi:10.3390/sym17071150","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17071150","pdf_url":null,"source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/sym17071150","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023317636","display_name":"Zhenxiang He","orcid":"https://orcid.org/0009-0004-8441-9534"},"institutions":[{"id":"https://openalex.org/I4210125346","display_name":"Gansu Institute of Political Science and Law","ror":"https://ror.org/025km4h87","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125346"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenxiang He","raw_affiliation_strings":["School of Cyberspace Security, Gansu University of Political Science and Law, Lanzhou 730070, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace Security, Gansu University of Political Science and Law, Lanzhou 730070, China","institution_ids":["https://openalex.org/I4210125346"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Le Li","orcid":"https://orcid.org/0009-0009-9078-1341"},"institutions":[{"id":"https://openalex.org/I4210125346","display_name":"Gansu Institute of Political Science and Law","ror":"https://ror.org/025km4h87","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125346"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Li","raw_affiliation_strings":["School of Cyberspace Security, Gansu University of Political Science and Law, Lanzhou 730070, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace Security, Gansu University of Political Science and Law, Lanzhou 730070, China","institution_ids":["https://openalex.org/I4210125346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111340087","display_name":"Hanbin Wang","orcid":"https://orcid.org/0009-0007-0133-2129"},"institutions":[{"id":"https://openalex.org/I4210125346","display_name":"Gansu Institute of Political Science and Law","ror":"https://ror.org/025km4h87","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125346"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanbin Wang","raw_affiliation_strings":["School of Cyberspace Security, Gansu University of Political Science and Law, Lanzhou 730070, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace Security, Gansu University of Political Science and Law, Lanzhou 730070, China","institution_ids":["https://openalex.org/I4210125346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023317636"],"corresponding_institution_ids":["https://openalex.org/I4210125346"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":2.4362,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90040727,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"17","issue":"7","first_page":"1150","last_page":"1150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9962999820709229,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8134799003601074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.678117573261261},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.655434250831604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.535179078578949},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4611198604106903},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4370964467525482},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.42022478580474854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4053660035133362}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8134799003601074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.678117573261261},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.655434250831604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.535179078578949},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4611198604106903},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4370964467525482},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.42022478580474854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4053660035133362},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/sym17071150","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17071150","pdf_url":null,"source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/sym17071150","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17071150","pdf_url":null,"source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6899999976158142,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5980298560","display_name":null,"funder_award_id":"61562002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7698835039","display_name":null,"funder_award_id":"2020C-29","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1972186641","https://openalex.org/W1983586459","https://openalex.org/W2009130368","https://openalex.org/W2095705004","https://openalex.org/W2097506049","https://openalex.org/W2104116677","https://openalex.org/W2169439181","https://openalex.org/W2777769595","https://openalex.org/W2888338418","https://openalex.org/W2911605501","https://openalex.org/W2912648825","https://openalex.org/W2948407537","https://openalex.org/W2963351448","https://openalex.org/W3027377338","https://openalex.org/W3082623289","https://openalex.org/W3106990721","https://openalex.org/W3136675246","https://openalex.org/W3140970613","https://openalex.org/W3154575015","https://openalex.org/W3163631282","https://openalex.org/W3171227185","https://openalex.org/W3177052299","https://openalex.org/W3179308556","https://openalex.org/W3197106219","https://openalex.org/W3211490618","https://openalex.org/W4206589716","https://openalex.org/W4225554547","https://openalex.org/W4255023712","https://openalex.org/W4321021643","https://openalex.org/W4388599513","https://openalex.org/W4389388458","https://openalex.org/W4390872411","https://openalex.org/W4392903744","https://openalex.org/W4401358392","https://openalex.org/W6674330103","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2404514746","https://openalex.org/W1652783584","https://openalex.org/W2082783427"],"abstract_inverted_index":{"When":[0],"faced":[1],"with":[2],"diverse":[3],"types":[4],"of":[5,113,124,246],"image":[6,9,16,39,131,206],"tampering":[7,17,40,132,168],"and":[8,26,49,68,85,122,155,175,186,213,226,241],"quality":[10,207],"degradation":[11],"in":[12,79,137,219,223],"real-world":[13,220],"scenarios,":[14],"traditional":[15],"localization":[18,41,176],"methods":[19],"often":[20,133],"struggle":[21],"to":[22,73,108,162],"balance":[23],"boundary":[24,173],"accuracy":[25],"robustness.":[27],"To":[28,88],"address":[29],"these":[30],"issues,":[31],"this":[32,93],"paper":[33,94],"proposes":[34],"a":[35,58,96,103],"symmetric":[36,60],"guided":[37,161],"dual-branch":[38,61],"network\u2014FENet":[42],"(Fusion-Enhanced":[43],"Network)\u2014that":[44],"integrates":[45],"adaptive":[46],"feature":[47,115],"fusion":[48,98],"edge":[50,138],"attention":[51,146],"mechanisms.":[52],"This":[53],"method":[54,232],"is":[55,160],"based":[56],"on":[57,166,179],"structurally":[59],"architecture,":[62],"which":[63,101],"extracts":[64],"RGB":[65],"semantic":[66],"features":[67],"SRM":[69],"noise":[70],"residual":[71],"information":[72,154],"comprehensively":[74],"capture":[75],"the":[76,83,111,119,125,158,201],"fine-grained":[77],"differences":[78],"tampered":[80],"regions":[81],"at":[82],"visual":[84],"statistical":[86],"levels.":[87],"effectively":[89],"fuse":[90],"different":[91,114],"features,":[92],"designs":[95],"self-calibrating":[97],"module":[99],"(SCF),":[100],"introduces":[102],"content-aware":[104],"dynamic":[105],"weighting":[106],"mechanism":[107,147],"adaptively":[109],"adjust":[110],"importance":[112],"branches,":[116],"thereby":[117,170],"enhancing":[118,171],"discriminative":[120],"power":[121],"expressiveness":[123],"fused":[126],"features.":[127],"Furthermore,":[128],"considering":[129],"that":[130,189,230,237],"involves":[134],"abnormal":[135],"changes":[136],"structures,":[139],"we":[140],"further":[141],"propose":[142],"an":[143],"edge-aware":[144],"coordinate":[145],"(ECAM).":[148],"By":[149],"jointly":[150],"modeling":[151],"spatial":[152],"position":[153],"edge-guided":[156],"information,":[157],"model":[159],"focus":[163],"more":[164],"precisely":[165],"potential":[167],"boundaries,":[169],"its":[172,217],"detection":[174],"capabilities.":[177],"Experiments":[178,222],"public":[180],"datasets":[181],"such":[182,209],"as":[183,210],"Columbia,":[184],"CASIA,":[185],"NIST16":[187],"demonstrate":[188],"FENet":[190],"achieves":[191,233],"significantly":[192],"better":[193],"results":[194],"than":[195,244],"existing":[196,247],"methods.":[197],"We":[198],"also":[199],"analyze":[200],"model\u2019s":[202],"performance":[203],"under":[204],"various":[205],"conditions,":[208],"JPEG":[211],"compression":[212],"Gaussian":[214],"blur,":[215],"demonstrating":[216],"robustness":[218],"scenarios.":[221],"Facebook,":[224],"Weibo,":[225],"WeChat":[227],"scenarios":[228],"show":[229],"our":[231],"average":[234],"F1":[235],"scores":[236],"are":[238],"2.8%,":[239],"3%,":[240],"5.6%":[242],"higher":[243],"those":[245],"state-of-the-art":[248],"methods,":[249],"respectively.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
