{"id":"https://openalex.org/W4402979939","doi":"https://doi.org/10.1109/icme57554.2024.10687409","title":"Fuzzy Boundary-Guided Network for Camouflaged Object Detection","display_name":"Fuzzy Boundary-Guided Network for Camouflaged Object Detection","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979939","doi":"https://doi.org/10.1109/icme57554.2024.10687409"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687409","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101812176","display_name":"Qi Jia","orcid":"https://orcid.org/0000-0001-5383-0065"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Jia","raw_affiliation_strings":["Dalian University of Technology,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036083831","display_name":"Shuilian Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuilian Yao","raw_affiliation_strings":["Dalian University of Technology,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113409496","display_name":"Youcan Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youcan Xu","raw_affiliation_strings":["Dalian University of Technology,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004895426","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-2067-9175"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Dalian University of Technology,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012073715","display_name":"Dehao Kong","orcid":"https://orcid.org/0000-0002-0326-9369"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehao Kong","raw_affiliation_strings":["Dalian University of Technology,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064854962","display_name":"Longin Jan Latecki","orcid":"https://orcid.org/0000-0002-5102-8244"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Longin Jan Latecki","raw_affiliation_strings":["Temple University,Philadelphia,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Temple University,Philadelphia,USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55002988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.982699990272522,"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":0.982699990272522,"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":0.972599983215332,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9695000052452087,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6466208100318909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6066215634346008},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5806518793106079},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5682335495948792},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5486122965812683},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4962192177772522},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4617825150489807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37256383895874023},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22259631752967834}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6466208100318909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6066215634346008},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5806518793106079},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5682335495948792},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5486122965812683},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4962192177772522},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4617825150489807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37256383895874023},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22259631752967834},{"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/icme57554.2024.10687409","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1994922096","https://openalex.org/W2051624325","https://openalex.org/W2109255472","https://openalex.org/W2404184832","https://openalex.org/W2799213142","https://openalex.org/W2943545929","https://openalex.org/W2961348656","https://openalex.org/W2963032190","https://openalex.org/W2963112696","https://openalex.org/W2963868681","https://openalex.org/W2990984982","https://openalex.org/W2998449272","https://openalex.org/W3034684132","https://openalex.org/W3035422681","https://openalex.org/W3092344722","https://openalex.org/W3122006940","https://openalex.org/W3138516171","https://openalex.org/W3168112135","https://openalex.org/W3173782971","https://openalex.org/W3176152216","https://openalex.org/W3179443972","https://openalex.org/W3190335749","https://openalex.org/W3199914841","https://openalex.org/W3203700770","https://openalex.org/W3207101999","https://openalex.org/W4214561053","https://openalex.org/W4214831601","https://openalex.org/W4283813802","https://openalex.org/W4285601297","https://openalex.org/W4285728607","https://openalex.org/W4312258849","https://openalex.org/W4312880622","https://openalex.org/W4386065718","https://openalex.org/W4386076039","https://openalex.org/W6754309021","https://openalex.org/W6855374514"],"related_works":["https://openalex.org/W2737719445","https://openalex.org/W4239098401","https://openalex.org/W2898210368","https://openalex.org/W2382480268","https://openalex.org/W1976518449","https://openalex.org/W2732837990","https://openalex.org/W2363366881","https://openalex.org/W1984178488","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Camouflaged":[0],"object":[1,22,48],"detection":[2],"(COD)":[3],"is":[4,124],"a":[5,41],"challenging":[6],"task":[7],"that":[8,29,55],"identifies":[9],"camouflaged":[10,47],"objects":[11],"from":[12],"highly":[13],"similar":[14],"backgrounds.":[15],"Existing":[16],"methods":[17],"typically":[18],"treat":[19],"the":[20,26,52,87,100,104,112],"whole":[21],"equally":[23],"while":[24],"neglecting":[25],"indistinguishable":[27],"regions":[28,62,102],"require":[30],"more":[31,57],"attention":[32,58],"than":[33],"other":[34],"regions.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,67],"propose":[40],"Fuzzy":[42,92],"Boundary-Guided":[43,93],"Network":[44],"(FBG-Net)":[45],"for":[46],"detection,":[49],"which":[50],"mimics":[51],"human":[53],"behavior":[54],"pays":[56],"to":[59,79,96,119],"these":[60],"low-confidence":[61,101],"when":[63],"observing":[64],"objects.":[65],"Specifically,":[66],"devise":[68],"two":[69],"main":[70],"building":[71],"blocks:":[72],"(1)":[73],"Mixed":[74],"Semantics":[75],"Aggregation":[76],"Module":[77,94],"(MSAM)":[78],"integrate":[80],"boundary":[81],"and":[82,90,98],"texture":[83],"features":[84],"cumulatively":[85],"in":[86],"high-to-low":[88],"scales,":[89],"(2)":[91],"(FBGM)":[95],"locate":[97],"enhance":[99],"under":[103],"guidance":[105],"of":[106,114],"fuzzy":[107],"boundary.":[108],"Extensive":[109],"experiments":[110],"demonstrate":[111],"effectiveness":[113],"FBG-Net":[115],"with":[116],"superior":[117],"performance":[118],"existing":[120],"state-of-the-art":[121],"methods.":[122],"Code":[123],"available":[125],"at":[126],"https://github.com/YAOSL98/FBG-Net.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
