{"id":"https://openalex.org/W2998406553","doi":"https://doi.org/10.1109/access.2019.2963745","title":"Constrained Image Splicing Detection and Localization With Attention-Aware Encoder-Decoder and Atrous Convolution","display_name":"Constrained Image Splicing Detection and Localization With Attention-Aware Encoder-Decoder and Atrous Convolution","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2998406553","doi":"https://doi.org/10.1109/access.2019.2963745","mag":"2998406553"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2963745","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2963745","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08949540.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08949540.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101726423","display_name":"Yaqi Liu","orcid":"https://orcid.org/0000-0002-1281-9182"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaqi Liu","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100750788","display_name":"Xianfeng Zhao","orcid":"https://orcid.org/0000-0002-5617-8399"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianfeng Zhao","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101726423"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404","https://openalex.org/I4210165038"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.6609,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.8595483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"6729","last_page":"6741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"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":1.0,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9740999937057495,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9401999711990356,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8114535808563232},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.696196973323822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.664046049118042},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5540062785148621},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5495955348014832},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5419806241989136},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4877679944038391},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4657467305660248},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4627286195755005},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44807225465774536},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43781858682632446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2464800477027893},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10715451836585999}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8114535808563232},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.696196973323822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.664046049118042},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5540062785148621},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5495955348014832},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5419806241989136},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4877679944038391},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4657467305660248},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4627286195755005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44807225465774536},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43781858682632446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2464800477027893},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10715451836585999},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2963745","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2963745","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08949540.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1144122f844a43c9b49413353fc0212d","is_oa":true,"landing_page_url":"https://doaj.org/article/1144122f844a43c9b49413353fc0212d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 6729-6741 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2963745","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2963745","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08949540.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2998406553.pdf","grobid_xml":"https://content.openalex.org/works/W2998406553.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1570958768","https://openalex.org/W1586681179","https://openalex.org/W1641522613","https://openalex.org/W1686810756","https://openalex.org/W1712631158","https://openalex.org/W1861492603","https://openalex.org/W1994743750","https://openalex.org/W2071794886","https://openalex.org/W2107467442","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2149073238","https://openalex.org/W2160734486","https://openalex.org/W2167977504","https://openalex.org/W2170343586","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2574852830","https://openalex.org/W2580690807","https://openalex.org/W2597655663","https://openalex.org/W2622630462","https://openalex.org/W2725210289","https://openalex.org/W2752782242","https://openalex.org/W2784032999","https://openalex.org/W2798117183","https://openalex.org/W2884585870","https://openalex.org/W2888338418","https://openalex.org/W2895129173","https://openalex.org/W2902301960","https://openalex.org/W2918670247","https://openalex.org/W2922139842","https://openalex.org/W2962697512","https://openalex.org/W2963020784","https://openalex.org/W2963091558","https://openalex.org/W2963256013","https://openalex.org/W2963447079","https://openalex.org/W2963678090","https://openalex.org/W2963975927","https://openalex.org/W2964309882","https://openalex.org/W4205425515","https://openalex.org/W4235593161","https://openalex.org/W4301454730","https://openalex.org/W4385245566","https://openalex.org/W6635110064","https://openalex.org/W6637373629","https://openalex.org/W6639102338","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6718003766","https://openalex.org/W6735377749","https://openalex.org/W6739901393","https://openalex.org/W6748481559","https://openalex.org/W6753412334","https://openalex.org/W6755229884"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2953716828","https://openalex.org/W2904857019","https://openalex.org/W2944728705","https://openalex.org/W3011538607","https://openalex.org/W2904022177","https://openalex.org/W4321441197","https://openalex.org/W2359348847","https://openalex.org/W2351938575","https://openalex.org/W2388359778"],"abstract_inverted_index":{"Constrained":[0],"image":[1,11,40],"splicing":[2],"detection":[3],"and":[4,14,36,78,93,106],"localization":[5],"(CISDL)":[6],"is":[7,70,88],"a":[8,25,53],"newly":[9,71],"formulated":[10,110],"forensics":[12],"task":[13],"plays":[15],"an":[16],"important":[17],"role":[18],"in":[19,117],"verifying":[20],"the":[21,46,122,128],"generating":[22],"process":[23],"of":[24,125],"forged":[26,42],"image.":[27],"CISDL":[28],"conducts":[29],"dense":[30,76],"matching":[31,58,77],"between":[32],"two":[33],"investigated":[34],"images":[35],"detects":[37],"whether":[38],"one":[39],"has":[41],"regions":[43],"pasted":[44],"from":[45],"other.":[47],"In":[48],"this":[49],"work,":[50],"we":[51],"introduce":[52],"novel":[54,83],"attention-aware":[55,84],"encoder-decoder":[56,66],"deep":[57],"network":[59],"named":[60],"as":[61,111],"AttentionDM":[62,126],"for":[63,73,114],"CISDL.":[64,118],"An":[65],"with":[67,97],"atrous":[68],"convolution":[69],"designed":[72],"hierarchical":[74],"features":[75,95],"fine-grained":[79],"masks":[80],"generation.":[81],"A":[82],"correlation":[85],"computation":[86],"module":[87],"built":[89],"on":[90],"normalization":[91],"operations":[92],"informative":[94],"recalibration":[96],"channel":[98],"attention":[99],"blocks.":[100],"Last":[101],"but":[102],"not":[103],"least,":[104],"VGG":[105],"ResNets":[107],"are":[108],"respectively":[109],"feature":[112],"extractors":[113],"comprehensive":[115],"comparisons":[116],"Extensive":[119],"experiments":[120],"demonstrate":[121],"superior":[123],"performance":[124],"over":[127],"state-of-the-art":[129],"methods.":[130]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
