{"id":"https://openalex.org/W4403022230","doi":"https://doi.org/10.1109/tnnls.2024.3461954","title":"GLCONet: Learning Multisource Perception Representation for Camouflaged Object Detection","display_name":"GLCONet: Learning Multisource Perception Representation for Camouflaged Object Detection","publication_year":2024,"publication_date":"2024-10-01","ids":{"openalex":"https://openalex.org/W4403022230","doi":"https://doi.org/10.1109/tnnls.2024.3461954","pmid":"https://pubmed.ncbi.nlm.nih.gov/39352824"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3461954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3461954","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yanguang Sun","orcid":"https://orcid.org/0009-0006-3765-6646"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanguang Sun","raw_affiliation_strings":["PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, PCA Laboratory, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0006-3765-6646","affiliations":[{"raw_affiliation_string":"PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, PCA Laboratory, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011876855","display_name":"Hanyu Xuan","orcid":"https://orcid.org/0000-0002-4633-2794"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyu Xuan","raw_affiliation_strings":["School of Big Data and Statistics, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4633-2794","affiliations":[{"raw_affiliation_string":"School of Big Data and Statistics, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-4800-832X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, PCA Laboratory, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4800-832X","affiliations":[{"raw_affiliation_string":"PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, PCA Laboratory, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lei Luo","orcid":"https://orcid.org/0000-0002-7618-119X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Luo","raw_affiliation_strings":["PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, PCA Laboratory, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7618-119X","affiliations":[{"raw_affiliation_string":"PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, PCA Laboratory, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9346,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.96768265,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"36","issue":"7","first_page":"13262","last_page":"13275"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9988999962806702,"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":0.9988999962806702,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9648000001907349,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9541000127792358,"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/representation","display_name":"Representation (politics)","score":0.6587537527084351},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.56183260679245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5479384660720825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5085476636886597},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4883851408958435},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4830116033554077},{"id":"https://openalex.org/keywords/perceptual-learning","display_name":"Perceptual learning","score":0.424307644367218},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.32118383049964905},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2781131863594055},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.15448299050331116},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.036377549171447754}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6587537527084351},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.56183260679245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5479384660720825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5085476636886597},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4883851408958435},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4830116033554077},{"id":"https://openalex.org/C22033958","wikidata":"https://www.wikidata.org/wiki/Q7167036","display_name":"Perceptual learning","level":3,"score":0.424307644367218},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.32118383049964905},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2781131863594055},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.15448299050331116},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.036377549171447754},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3461954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3461954","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:39352824","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39352824","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4218343646","display_name":null,"funder_award_id":"61806094","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8368644450","display_name":null,"funder_award_id":"62176124","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8715681119","display_name":null,"funder_award_id":"62276135","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":71,"referenced_works":["https://openalex.org/W1600550542","https://openalex.org/W1901129140","https://openalex.org/W1994922096","https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2034269173","https://openalex.org/W2194775991","https://openalex.org/W2285968993","https://openalex.org/W2339309815","https://openalex.org/W2412782625","https://openalex.org/W2468950986","https://openalex.org/W2471758726","https://openalex.org/W2521296507","https://openalex.org/W2528329134","https://openalex.org/W2560311620","https://openalex.org/W2565639579","https://openalex.org/W2799213142","https://openalex.org/W2884436604","https://openalex.org/W2943545929","https://openalex.org/W2963604034","https://openalex.org/W2963868681","https://openalex.org/W2979515228","https://openalex.org/W2982763192","https://openalex.org/W2997286550","https://openalex.org/W3027763298","https://openalex.org/W3028650173","https://openalex.org/W3034684132","https://openalex.org/W3090492687","https://openalex.org/W3121523901","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3148613765","https://openalex.org/W3168112135","https://openalex.org/W3171125843","https://openalex.org/W3173782971","https://openalex.org/W3174857663","https://openalex.org/W3176152216","https://openalex.org/W3179443972","https://openalex.org/W3181013887","https://openalex.org/W3190335749","https://openalex.org/W3203700770","https://openalex.org/W3210073375","https://openalex.org/W4214493665","https://openalex.org/W4214561053","https://openalex.org/W4220880800","https://openalex.org/W4225672218","https://openalex.org/W4283722434","https://openalex.org/W4283813802","https://openalex.org/W4286212078","https://openalex.org/W4304098552","https://openalex.org/W4308180443","https://openalex.org/W4312258849","https://openalex.org/W4312880622","https://openalex.org/W4323664660","https://openalex.org/W4366082837","https://openalex.org/W4381716707","https://openalex.org/W4383988917","https://openalex.org/W4385245566","https://openalex.org/W4386065718","https://openalex.org/W4386075524","https://openalex.org/W4386075673","https://openalex.org/W4386076039","https://openalex.org/W4386083034","https://openalex.org/W4387010134","https://openalex.org/W4387546245","https://openalex.org/W4387969595","https://openalex.org/W4387986717","https://openalex.org/W4392007270","https://openalex.org/W4392152074","https://openalex.org/W4403081532","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W1988301104","https://openalex.org/W2737719445","https://openalex.org/W2795079307","https://openalex.org/W4239098401","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W2898210368","https://openalex.org/W2382480268","https://openalex.org/W1834370135"],"abstract_inverted_index":{"Recently,":[0],"the":[1,11,25,47,60,67,98,106,123,159],"biological":[2],"perception":[3,102],"has":[4],"been":[5],"a":[6,63,70,80,92],"powerful":[7],"tool":[8],"for":[9,151],"handling":[10],"camouflaged":[12,127],"object":[13],"detection":[14],"(COD)":[15],"task.":[16],"However,":[17],"most":[18],"existing":[19],"methods":[20,45,179],"are":[21],"heavily":[22],"dependent":[23],"on":[24,180],"local":[26,107],"spatial":[27],"information":[28,120,147],"of":[29,66,100],"diverse":[30],"scales":[31],"from":[32,53,97,148],"convolutional":[33],"operations":[34],"to":[35,103,121,144],"optimize":[36],"initial":[37],"features.":[38],"A":[39],"commonly":[40],"neglected":[41],"point":[42],"in":[43,125,172],"these":[44],"is":[46,188],"long-range":[48,111],"dependencies":[49],"between":[50],"feature":[51],"pixels":[52,171],"different":[54,149,164],"scale":[55],"spaces":[56],"that":[57,137,158],"can":[58,114,166],"help":[59],"model":[61,105],"build":[62],"global":[64,110],"structure":[65],"object,":[68],"inducing":[69],"more":[71],"precise":[72],"image":[73],"representation.":[74],"In":[75],"this":[76],"article,":[77],"we":[78,89,130],"propose":[79],"novel":[81],"global-local":[82],"collaborative":[83,93],"optimization":[84,94,143],"network":[85],"called":[86],"GLCONet.":[87],"Technically,":[88],"first":[90],"design":[91],"strategy":[95],"(COS)":[96],"perspective":[99],"multisource":[101],"simultaneously":[104],"details":[108],"and":[109,141],"relationships,":[112],"which":[113],"provide":[115],"features":[116],"with":[117,163],"abundant":[118],"discriminative":[119],"boost":[122],"accuracy":[124],"detecting":[126],"objects.":[128],"Furthermore,":[129],"introduce":[131],"an":[132,173],"adjacent":[133],"reverse":[134,142],"decoder":[135],"(ARD)":[136],"contains":[138],"cross-layer":[139],"aggregation":[140],"integrate":[145],"complementary":[146],"levels":[150],"generating":[152],"high-quality":[153],"representations.":[154],"Extensive":[155],"experiments":[156],"demonstrate":[157],"proposed":[160],"GLCONet":[161],"method":[162],"backbones":[165],"effectively":[167],"activate":[168],"potentially":[169],"significant":[170],"image,":[174],"outperforming":[175],"20":[176],"state-of-the-art":[177],"(SOTA)":[178],"three":[181],"public":[182],"COD":[183],"datasets.":[184],"The":[185],"source":[186],"code":[187],"available":[189],"at:":[190],"https://github.com/CSYSI/GLCONet.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
