{"id":"https://openalex.org/W4366082837","doi":"https://doi.org/10.1109/tip.2023.3266659","title":"FSNet: Focus Scanning Network for Camouflaged Object Detection","display_name":"FSNet: Focus Scanning Network for Camouflaged Object Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4366082837","doi":"https://doi.org/10.1109/tip.2023.3266659","pmid":"https://pubmed.ncbi.nlm.nih.gov/37067971"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3266659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3266659","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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":"https://openalex.org/A5101514854","display_name":"Song Ze","orcid":"https://orcid.org/0000-0002-6585-765X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Song","raw_affiliation_strings":["Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province and the College of Electrical and Information Engineering, Hunan University, Changsha, China","College of Electrical and Information Engineering, and with Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-6585-765X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province and the College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, and with Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057514965","display_name":"Xudong Kang","orcid":"https://orcid.org/0000-0002-3807-2531"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Kang","raw_affiliation_strings":["School of Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3807-2531","affiliations":[{"raw_affiliation_string":"School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019106042","display_name":"Xiaohui Wei","orcid":"https://orcid.org/0000-0001-5086-0103"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Wei","raw_affiliation_strings":["Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province and the College of Electrical and Information Engineering, Hunan University, Changsha, China","College of Electrical and Information Engineering, and with Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-5086-0103","affiliations":[{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province and the College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, and with Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101793537","display_name":"Haibo Liu","orcid":"https://orcid.org/0000-0002-9465-9433"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo Liu","raw_affiliation_strings":["School of Robotics, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026156663","display_name":"Renwei Dian","orcid":"https://orcid.org/0000-0001-9197-6292"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renwei Dian","raw_affiliation_strings":["School of Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9197-6292","affiliations":[{"raw_affiliation_string":"School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province and the College of Electrical and Information Engineering, Hunan University, Changsha, China","College of Electrical and Information Engineering, and with Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0585-9848","affiliations":[{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province and the College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, and with Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":7.7645,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.9855164,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"32","issue":null,"first_page":"2267","last_page":"2278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9995999932289124,"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":0.9995999932289124,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9983999729156494,"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":0.9908000230789185,"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-science","display_name":"Computer science","score":0.7853832244873047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6857437491416931},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6614847779273987},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5661113262176514},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5527155995368958},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5489141345024109},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4629635810852051},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.44691357016563416},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44439876079559326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4125481843948364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7853832244873047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6857437491416931},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6614847779273987},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5661113262176514},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5527155995368958},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5489141345024109},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4629635810852051},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.44691357016563416},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44439876079559326},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4125481843948364},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2023.3266659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3266659","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:37067971","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37067971","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G102502481","display_name":null,"funder_award_id":"2021T140194","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2027762821","display_name":null,"funder_award_id":"61890962","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2716665530","display_name":null,"funder_award_id":"2019JJ50036","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G3579516633","display_name":null,"funder_award_id":"2021YFA0715203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4454445126","display_name":null,"funder_award_id":"2021JJ022","funder_id":"https://openalex.org/F4320330215","funder_display_name":"Natural Science Foundation for Distinguished Young Scholars of Hunan Province"},{"id":"https://openalex.org/G4801138094","display_name":null,"funder_award_id":"62101183","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4878062729","display_name":"\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u5206\u7c7b\u8bad\u7ec3\u6837\u672c\u95ee\u9898\u7814\u7a76","funder_award_id":"61871179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5825800595","display_name":null,"funder_award_id":"2020GK2038","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G6705648241","display_name":null,"funder_award_id":"2022JJ40098","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320330215","display_name":"Natural Science Foundation for Distinguished Young Scholars of Hunan Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1513184069","https://openalex.org/W1968773971","https://openalex.org/W1982075130","https://openalex.org/W2038754339","https://openalex.org/W2038913936","https://openalex.org/W2044712054","https://openalex.org/W2051624325","https://openalex.org/W2108598243","https://openalex.org/W2296153970","https://openalex.org/W2346506533","https://openalex.org/W2560311620","https://openalex.org/W2565639579","https://openalex.org/W2586834759","https://openalex.org/W2796975587","https://openalex.org/W2799213142","https://openalex.org/W2908685061","https://openalex.org/W2917790938","https://openalex.org/W2939217524","https://openalex.org/W2943545929","https://openalex.org/W2952222533","https://openalex.org/W2961348656","https://openalex.org/W2963037989","https://openalex.org/W2963112696","https://openalex.org/W2963150697","https://openalex.org/W2963299740","https://openalex.org/W2963351448","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W2964080601","https://openalex.org/W2964775615","https://openalex.org/W2987701848","https://openalex.org/W2988916019","https://openalex.org/W2990984982","https://openalex.org/W2998449272","https://openalex.org/W3007759824","https://openalex.org/W3027763298","https://openalex.org/W3034684132","https://openalex.org/W3092344722","https://openalex.org/W3109623941","https://openalex.org/W3121523901","https://openalex.org/W3131500599","https://openalex.org/W3132018008","https://openalex.org/W3135874576","https://openalex.org/W3138516171","https://openalex.org/W3164098653","https://openalex.org/W3165924482","https://openalex.org/W3168112135","https://openalex.org/W3170841864","https://openalex.org/W3173782971","https://openalex.org/W3175617055","https://openalex.org/W3176152216","https://openalex.org/W3179443972","https://openalex.org/W3203700770","https://openalex.org/W3211937532","https://openalex.org/W4213019189","https://openalex.org/W4214520160","https://openalex.org/W4214561053","https://openalex.org/W4288089799","https://openalex.org/W4295312788","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6766978945","https://openalex.org/W6769627184","https://openalex.org/W6773829392","https://openalex.org/W6774732966"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"Camouflaged":[0],"object":[1,70,106],"detection":[2],"(COD)":[3],"aims":[4],"to":[5,15,80,99,117,130,148,155],"discover":[6],"objects":[7],"that":[8,52,171],"blend":[9],"in":[10,32,137],"with":[11,134],"the":[12,29,37,47,85,105,108,126,141,150,162,172],"background":[13],"due":[14],"similar":[16],"colors":[17,58],"or":[18,59,121],"textures,":[19,60],"etc.":[20],"Existing":[21],"deep":[22],"learning":[23],"methods":[24],"do":[25],"not":[26],"systematically":[27],"illustrate":[28,170],"key":[30],"tasks":[31],"COD,":[33],"which":[34],"seriously":[35],"hinders":[36],"improvement":[38],"of":[39,49],"its":[40],"performance.":[41],"In":[42,90],"this":[43,91],"paper,":[44],"we":[45,124],"introduce":[46],"concept":[48],"focus":[50,65,86,138],"areas":[51,87],"represent":[53],"some":[54],"regions":[55],"containing":[56],"discernable":[57],"and":[61,107,110,168],"develop":[62],"a":[63,73,82,93,111],"two-stage":[64],"scanning":[66],"network":[67,151],"for":[68],"camouflaged":[69],"detection.":[71],"Specifically,":[72],"novel":[74,112],"encoder-decoder":[75],"module":[76],"is":[77,97,115,146],"first":[78],"designed":[79,147],"determine":[81],"region":[83],"where":[84],"may":[88],"appear.":[89],"process,":[92],"multi-layer":[94],"Swin":[95],"transformer":[96],"deployed":[98],"encode":[100],"global":[101],"context":[102],"information":[103],"between":[104],"background,":[109],"cross-connection":[113],"decoder":[114],"proposed":[116,173],"fuse":[118],"cross-layer":[119],"textures":[120],"semantics.":[122],"Then,":[123],"utilize":[125],"multi-scale":[127],"dilated":[128],"convolution":[129],"obtain":[131],"discriminative":[132],"features":[133],"different":[135],"scales":[136],"areas.":[139],"Meanwhile,":[140],"dynamic":[142],"difficulty":[143],"aware":[144],"loss":[145],"guide":[149],"paying":[152],"more":[153],"attention":[154],"structural":[156],"details.":[157],"Extensive":[158],"experimental":[159],"results":[160],"on":[161],"benchmarks,":[163],"including":[164],"CAMO,":[165],"CHAMELEON,":[166],"COD10K,":[167],"NC4K,":[169],"method":[174],"performs":[175],"favorably":[176],"against":[177],"other":[178],"state-of-the-art":[179],"methods.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":41},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}