{"id":"https://openalex.org/W4398226159","doi":"https://doi.org/10.1109/tcsvt.2024.3404005","title":"Edge Perception Camouflaged Object Detection Under Frequency Domain Reconstruction","display_name":"Edge Perception Camouflaged Object Detection Under Frequency Domain Reconstruction","publication_year":2024,"publication_date":"2024-05-22","ids":{"openalex":"https://openalex.org/W4398226159","doi":"https://doi.org/10.1109/tcsvt.2024.3404005"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3404005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3404005","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5115044980","display_name":"Zijian Liu","orcid":"https://orcid.org/0009-0003-2247-3773"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China","Shenzhen Research Institute, China"],"raw_orcid":"https://orcid.org/0009-0003-2247-3773","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Shenzhen Research Institute, China","institution_ids":["https://openalex.org/I4210105229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086816845","display_name":"Xiaoheng Deng","orcid":"https://orcid.org/0000-0003-2740-8025"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoheng Deng","raw_affiliation_strings":["Shenzhen Research Institute, Shenzhen, China","School of Electronic Information, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2740-8025","affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, Shenzhen, China","institution_ids":["https://openalex.org/I4210105229"]},{"raw_affiliation_string":"School of Electronic Information, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033022901","display_name":"Ping Jiang","orcid":"https://orcid.org/0000-0002-3898-4303"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Jiang","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China","Shenzhen Research Institute, China"],"raw_orcid":"https://orcid.org/0000-0002-3898-4303","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Shenzhen Research Institute, China","institution_ids":["https://openalex.org/I4210105229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111343852","display_name":"Conghao Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Conghao Lv","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China","Shenzhen Research Institute, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Shenzhen Research Institute, China","institution_ids":["https://openalex.org/I4210105229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770003","display_name":"Geyong Min","orcid":"https://orcid.org/0000-0003-1395-7314"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Geyong Min","raw_affiliation_strings":["Shenzhen Research Institute, Shenzhen, China","Department of Computer Science, University of Exeter, Exeter, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1395-7314","affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, Shenzhen, China","institution_ids":["https://openalex.org/I4210105229"]},{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, U.K","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100327828","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0001-7543-6288"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","Ministry of Education, Shandong Computer Science Center, Key Laboratory of Computing Power Network and Information Security, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"Ministry of Education, Shandong Computer Science Center, Key Laboratory of Computing Power Network and Information Security, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.4018,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.9841201,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"34","issue":"10","first_page":"10194","last_page":"10207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9818999767303467,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9818999767303467,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.925599992275238,"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-vision","display_name":"Computer vision","score":0.6473598480224609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6249397397041321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6175554394721985},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5564120411872864},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5338690280914307},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5125410556793213},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.49193263053894043},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.486306756734848},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.47814854979515076},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4497879445552826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34293892979621887},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33784157037734985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21155419945716858},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19206538796424866},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08161711692810059}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6473598480224609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6249397397041321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6175554394721985},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5564120411872864},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5338690280914307},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5125410556793213},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.49193263053894043},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.486306756734848},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.47814854979515076},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4497879445552826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34293892979621887},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33784157037734985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21155419945716858},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19206538796424866},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08161711692810059},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3404005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3404005","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2460975407","display_name":null,"funder_award_id":"62172441","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3494558276","display_name":null,"funder_award_id":"62172438","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4744389466","display_name":null,"funder_award_id":"U2368201","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":78,"referenced_works":["https://openalex.org/W1894057436","https://openalex.org/W1901129140","https://openalex.org/W2002781701","https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2039313011","https://openalex.org/W2285968993","https://openalex.org/W2344053498","https://openalex.org/W2740667773","https://openalex.org/W2796975587","https://openalex.org/W2866634454","https://openalex.org/W2884436604","https://openalex.org/W2899770794","https://openalex.org/W2939217524","https://openalex.org/W2943545929","https://openalex.org/W2963112696","https://openalex.org/W2963604034","https://openalex.org/W2979515228","https://openalex.org/W2988396473","https://openalex.org/W2990984982","https://openalex.org/W2997286550","https://openalex.org/W2998449272","https://openalex.org/W3034684132","https://openalex.org/W3100064549","https://openalex.org/W3109733326","https://openalex.org/W3122006940","https://openalex.org/W3122412340","https://openalex.org/W3135262214","https://openalex.org/W3136838953","https://openalex.org/W3164098653","https://openalex.org/W3173382343","https://openalex.org/W3173782971","https://openalex.org/W3175515048","https://openalex.org/W3176152216","https://openalex.org/W3181013887","https://openalex.org/W3203497085","https://openalex.org/W3207082488","https://openalex.org/W3213397377","https://openalex.org/W3216564402","https://openalex.org/W4214561053","https://openalex.org/W4221145551","https://openalex.org/W4224989626","https://openalex.org/W4226315341","https://openalex.org/W4285113375","https://openalex.org/W4285310685","https://openalex.org/W4285601297","https://openalex.org/W4293107381","https://openalex.org/W4299652825","https://openalex.org/W4308180443","https://openalex.org/W4310332935","https://openalex.org/W4311556271","https://openalex.org/W4312258849","https://openalex.org/W4312880622","https://openalex.org/W4313023779","https://openalex.org/W4315490105","https://openalex.org/W4318953210","https://openalex.org/W4319300502","https://openalex.org/W4321021814","https://openalex.org/W4323891945","https://openalex.org/W4376273993","https://openalex.org/W4382450131","https://openalex.org/W4383753161","https://openalex.org/W4385809408","https://openalex.org/W4386075673","https://openalex.org/W4386076039","https://openalex.org/W4386841537","https://openalex.org/W4387245341","https://openalex.org/W4387609223","https://openalex.org/W4387968022","https://openalex.org/W4387969595","https://openalex.org/W4390190100","https://openalex.org/W4390492164","https://openalex.org/W4391152075","https://openalex.org/W4391407087","https://openalex.org/W4391641281","https://openalex.org/W4394625531","https://openalex.org/W6847326436","https://openalex.org/W6856347015"],"related_works":["https://openalex.org/W2028037572","https://openalex.org/W2315652488","https://openalex.org/W2039365229","https://openalex.org/W2145843506","https://openalex.org/W2379089757","https://openalex.org/W2056407677","https://openalex.org/W4293054829","https://openalex.org/W1999737656","https://openalex.org/W2128085731","https://openalex.org/W2551441443"],"abstract_inverted_index":{"Camouflaged":[0],"object":[1,194,217],"detection":[2,195],"has":[3],"been":[4],"considered":[5],"a":[6,110,141],"challenging":[7],"task":[8],"due":[9],"to":[10,69,95,103,133,152,171],"its":[11],"inherent":[12],"similarity":[13],"and":[14,59,64,154,163,215],"interference":[15,58],"from":[16,88,157],"background":[17],"noise.":[18,100],"It":[19],"requires":[20],"accurate":[21,62,173],"identification":[22],"of":[23,84,98],"targets":[24],"that":[25,81,183],"blend":[26],"seamlessly":[27],"with":[28,74],"the":[29,32,52,82,96,105,130,149,158,164],"environment":[30],"at":[31],"pixel":[33],"level.":[34],"Although":[35],"existing":[36],"methods":[37,189],"have":[38],"achieved":[39],"considerable":[40],"success,":[41],"they":[42],"still":[43],"face":[44],"two":[45],"key":[46],"problems.":[47],"The":[48,78],"first":[49,106],"one":[50],"is":[51,80,91],"difficulty":[53],"in":[54,190,204],"removing":[55],"texture":[56],"noise":[57,178],"thus":[60,128],"obtaining":[61],"edge":[63,174],"frequency":[65,111,125,142,166],"domain":[66,112,126,143,162],"information,":[67],"leading":[68,94],"poor":[70],"performance":[71,203],"when":[72],"dealing":[73],"complex":[75],"camouflage":[76],"strategies.":[77],"latter":[79],"fusion":[83],"multiple":[85],"information":[86,175],"obtained":[87],"auxiliary":[89],"subtasks":[90],"often":[92],"insufficient,":[93],"introduction":[97],"new":[99],"In":[101,137,197],"order":[102],"solve":[104],"problem,":[107],"we":[108,121,139],"propose":[109],"reconstruction":[113],"module":[114,146],"based":[115],"on":[116],"contrast":[117],"learning,":[118],"through":[119],"which":[120],"can":[122],"obtain":[123,172],"high-confidence":[124],"components,":[127],"enhancing":[129],"model\u2019s":[131],"ability":[132],"discriminate":[134],"target":[135],"objects.":[136],"addition,":[138,198],"design":[140],"representation":[144],"decoupling":[145],"for":[147],"solving":[148],"second":[150],"problem":[151],"align":[153],"fuse":[155],"features":[156],"<italic":[159],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[160],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">RGB</i>":[161],"reconstructed":[165],"domain.":[167],"This":[168],"allows":[169],"us":[170],"while":[176],"resisting":[177],"interference.":[179],"Experimental":[180],"results":[181],"show":[182],"our":[184,199],"method":[185,200],"outperforms":[186],"12":[187],"state-of-the-art":[188],"three":[191],"benchmark":[192],"camouflaged":[193],"datasets.":[196],"shows":[201],"excellent":[202],"other":[205],"downstream":[206],"tasks":[207],"such":[208],"as":[209],"polyp":[210],"segmentation,":[211],"surface":[212],"defect":[213],"detection,":[214],"transparent":[216],"detection.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}