{"id":"https://openalex.org/W4415708568","doi":"https://doi.org/10.1109/icme59968.2025.11210097","title":"Challenging Dataset and Multi-Modal Gated Mixture of Experts Model for Remote Sensing Copy-Move Forgery Understanding","display_name":"Challenging Dataset and Multi-Modal Gated Mixture of Experts Model for Remote Sensing Copy-Move Forgery Understanding","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708568","doi":"https://doi.org/10.1109/icme59968.2025.11210097"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11210097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5114804236","display_name":"Ze Zhang","orcid":"https://orcid.org/0009-0006-5587-3863"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Zhang","raw_affiliation_strings":["Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031483377","display_name":"Enyuan Zhao","orcid":"https://orcid.org/0000-0002-2909-4317"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enyuan Zhao","raw_affiliation_strings":["Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101957578","display_name":"Yi Jiang","orcid":"https://orcid.org/0000-0003-4440-1722"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Jiang","raw_affiliation_strings":["Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103551827","display_name":"Nie Jie","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nie Jie","raw_affiliation_strings":["Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069127252","display_name":"Xinyue Liang","orcid":"https://orcid.org/0000-0003-4406-536X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyue Liang","raw_affiliation_strings":["Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":1.4136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8525352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.7027999758720398,"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":0.7027999758720398,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.09650000184774399,"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/T13055","display_name":"Global Security and Public Health","score":0.018799999728798866,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6693000197410583},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6313999891281128},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5906000137329102},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4846999943256378},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.41679999232292175},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.40299999713897705},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3702000081539154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7986000180244446},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6693000197410583},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6313999891281128},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5906000137329102},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4846999943256378},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.47450000047683716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4661000072956085},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.421099990606308},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.41679999232292175},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.40299999713897705},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4004000127315521},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3702000081539154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32120001316070557},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.3142000138759613},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C2776240099","wikidata":"https://www.wikidata.org/wiki/Q327018","display_name":"Interrogation","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11210097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1490753124","https://openalex.org/W2035432621","https://openalex.org/W2518397542","https://openalex.org/W2594177559","https://openalex.org/W2609402060","https://openalex.org/W2737129951","https://openalex.org/W2895129173","https://openalex.org/W2908320224","https://openalex.org/W2963954913","https://openalex.org/W2966683369","https://openalex.org/W3034779438","https://openalex.org/W3090538384","https://openalex.org/W3112375996","https://openalex.org/W3168972675","https://openalex.org/W3206010663","https://openalex.org/W4225991573","https://openalex.org/W4229439310","https://openalex.org/W4302064347","https://openalex.org/W4307321662","https://openalex.org/W4367146877","https://openalex.org/W4386472879","https://openalex.org/W4389988277","https://openalex.org/W4393148220","https://openalex.org/W4396843664","https://openalex.org/W4402196471","https://openalex.org/W4402265914"],"related_works":[],"abstract_inverted_index":{"The":[0,76],"Remote":[1],"Sensing":[2],"Copy-Move":[3],"Question":[4],"Answering":[5],"(RSCMQA)":[6],"task":[7,139],"focuses":[8],"on":[9],"interpreting":[10],"complex":[11],"tampering":[12],"scenarios":[13],"and":[14,34,44,69,86,123,144,149],"inferring":[15],"the":[16,38,67,80,137],"relationships":[17],"between":[18],"objects.":[19],"Currently,":[20],"publicly":[21],"available":[22,152],"datasets":[23],"often":[24],"use":[25],"randomly":[26],"generated":[27],"tampered":[28,77,115],"images,":[29],"which":[30,60,109],"lack":[31],"spatial":[32],"logic":[33],"do":[35],"not":[36],"meet":[37],"practical":[39],"needs":[40],"of":[41,71,105],"defense":[42],"security":[43],"land":[45],"resource":[46],"monitoring.":[47],"To":[48,95],"address":[49],"this,":[50],"we":[51,99],"propose":[52],"a":[53,101,133],"high-quality":[54],"manually":[55],"annotated":[56],"RSCMQA":[57,138],"dataset,":[58],"Real-RSCM,":[59],"provides":[61,132],"more":[62],"realistic":[63],"evaluation":[64],"metrics":[65],"for":[66,91,136],"identification":[68],"understanding":[70],"remote":[72],"sensing":[73],"image":[74],"tampering.":[75],"images":[78,118],"in":[79,117],"Real-RSCM":[81],"dataset":[82,148],"are":[83,151],"subtle,":[84],"authentic,":[85],"challenging,":[87],"posing":[88],"significant":[89],"difficulties":[90],"model":[92,107],"discrimination":[93],"capabilities.":[94],"overcome":[96],"these":[97],"challenges,":[98],"introduce":[100],"multimodal":[102],"gated":[103],"mixture":[104],"experts":[106],"(CM-MMoE),":[108],"guides":[110],"multi-expert":[111],"models":[112],"to":[113,141],"discern":[114],"information":[116],"through":[119],"multi-level":[120],"visual":[121],"semantics":[122],"textual":[124],"joint":[125],"modeling.":[126],"Extensive":[127],"experiments":[128],"demonstrate":[129],"that":[130],"CM-MMoE":[131],"stronger":[134],"benchmark":[135],"compared":[140],"general":[142],"VQA":[143],"CMQA":[145],"models.":[146],"Our":[147],"code":[150],"at":[153],"https://github.com/shenyedepisa/CM-MMoE.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-30T00:00:00"}