{"id":"https://openalex.org/W7140127520","doi":"https://doi.org/10.1109/thms.2026.3671297","title":"Cognition-Guided Coupled Learning for Camouflaged Object Detection","display_name":"Cognition-Guided Coupled Learning for Camouflaged Object Detection","publication_year":2026,"publication_date":"2026-03-23","ids":{"openalex":"https://openalex.org/W7140127520","doi":"https://doi.org/10.1109/thms.2026.3671297"},"language":null,"primary_location":{"id":"doi:10.1109/thms.2026.3671297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2026.3671297","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"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 Human-Machine Systems","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/A5130410915","display_name":"Hanru Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanru Zhou","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-0273-0666","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101968314","display_name":"Dongjun Liu","orcid":"https://orcid.org/0000-0001-9364-9228"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongjun Liu","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9364-9228","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130408896","display_name":"Gang Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Xie","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-8369-0862","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130346813","display_name":"Tianyang Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyang Qin","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024060116","display_name":"Kehan Wang","orcid":"https://orcid.org/0000-0001-8573-5265"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kehan Wang","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106276250","display_name":"Wanzeng Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanzeng Kong","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0113-6968","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34342354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"56","issue":"3","first_page":"513","last_page":"522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.8432000279426575,"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":0.8432000279426575,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.03720000013709068,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.018200000748038292,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5042999982833862},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41990000009536743},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3334999978542328},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3325999975204468},{"id":"https://openalex.org/keywords/camouflage","display_name":"Camouflage","score":0.31459999084472656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.30140000581741333}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6330000162124634},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5940999984741211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5655999779701233},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5042999982833862},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41990000009536743},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3334999978542328},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3325999975204468},{"id":"https://openalex.org/C2776196576","wikidata":"https://www.wikidata.org/wiki/Q196113","display_name":"Camouflage","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.2538999915122986},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/thms.2026.3671297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2026.3671297","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"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 Human-Machine Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.42799103260040283}],"awards":[{"id":"https://openalex.org/G627685","display_name":null,"funder_award_id":"62471169","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Camouflaged":[0],"object":[1,42,50,130],"detection":[2,175],"(COD)":[3],"aims":[4],"to":[5,18,111,128,141,173,187],"identify":[6],"targets":[7,22],"that":[8,180],"visually":[9],"blend":[10],"into":[11,146],"their":[12,97],"surroundings,":[13],"posing":[14],"significant":[15],"challenges":[16],"due":[17],"low":[19],"contrast":[20],"between":[21],"and":[23,28,65,67,78,91,99,118,190,199],"backgrounds,":[24],"diverse":[25,195],"target":[26,87],"appearances,":[27],"limited":[29],"annotated":[30],"training":[31,140,172],"samples.":[32],"A":[33],"critical":[34],"yet":[35],"often":[36],"overlooked":[37],"subtask":[38],"in":[39,53,71,101],"COD":[40],"is":[41,58,88],"presence":[43,131],"detection,":[44],"which":[45],"determines":[46],"whether":[47],"a":[48,123],"camouflaged":[49,113],"actually":[51],"exists":[52],"an":[54],"image.":[55],"This":[56],"step":[57],"essential":[59],"as":[60,75],"it":[61],"underpins":[62],"accurate":[63],"localization":[64],"segmentation":[66],"enables":[68],"timely":[69],"decisions":[70],"practical":[72],"applications":[73],"such":[74],"disaster":[76],"rescue":[77],"wildlife":[79],"monitoring.":[80],"However,":[81],"most":[82],"existing":[83],"methods":[84,189],"assume":[85],"the":[86,106,147],"always":[89],"present":[90],"focus":[92],"mainly":[93],"on":[94,163],"localization,":[95],"limiting":[96],"robustness":[98],"reliability":[100],"complex":[102],"scenarios.":[103,202],"Inspired":[104],"by":[105,115],"human":[107,143],"brain's":[108],"remarkable":[109],"ability":[110],"perceive":[112],"objects":[114],"integrating":[116],"edge":[117],"contextual":[119],"cues,":[120],"we":[121],"propose":[122],"cognitive-visual":[124],"coupling":[125],"learning":[126,151],"framework":[127,160],"enhance":[129],"detection.":[132],"Specifically,":[133],"electroencephalogram":[134],"(EEG)":[135],"signals":[136],"are":[137],"incorporated":[138],"during":[139,157,171],"embed":[142],"cognitive":[144,168],"patterns":[145],"model's":[148],"visual":[149,164,196],"feature":[150],"through":[152],"coupled":[153],"representation":[154],"learning.":[155],"Notably,":[156],"inference,":[158],"our":[159,181],"relies":[161],"solely":[162],"input,":[165],"effectively":[166],"leveraging":[167],"insights":[169],"acquired":[170],"improve":[174],"performance.":[176],"Extensive":[177],"experiments":[178],"demonstrate":[179],"approach":[182],"achieves":[183],"superior":[184],"accuracy":[185],"compared":[186],"state-of-the-art":[188],"exhibits":[191],"strong":[192],"generalization":[193],"across":[194],"backbone":[197],"architectures":[198],"unseen":[200],"cross-dataset":[201]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-03-24T00:00:00"}