{"id":"https://openalex.org/W4395676926","doi":"https://doi.org/10.3233/aic-230270","title":"Open-world object detection: A solution based on reselection mechanism and feature disentanglement","display_name":"Open-world object detection: A solution based on reselection mechanism and feature disentanglement","publication_year":2024,"publication_date":"2024-04-26","ids":{"openalex":"https://openalex.org/W4395676926","doi":"https://doi.org/10.3233/aic-230270"},"language":"en","primary_location":{"id":"doi:10.3233/aic-230270","is_oa":false,"landing_page_url":"https://doi.org/10.3233/aic-230270","pdf_url":null,"source":{"id":"https://openalex.org/S176303223","display_name":"AI Communications","issn_l":"0921-7126","issn":["0921-7126","1875-8452"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI Communications","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/A5101200737","display_name":"Lin Tian","orcid":"https://orcid.org/0000-0003-0908-5998"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Lin","raw_affiliation_strings":["Changchun University of Science and Technology, Academy of computer science and technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology, Academy of computer science and technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101200737","display_name":"Lin Tian","orcid":"https://orcid.org/0000-0003-0908-5998"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tian Lin","raw_affiliation_strings":["Changchun University of Science and Technology, Academy of computer science and technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology, Academy of computer science and technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726322","display_name":"Hua Li","orcid":"https://orcid.org/0000-0002-0745-035X"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Hua","raw_affiliation_strings":["Changchun University of Science and Technology, Academy of computer science and technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology, Academy of computer science and technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046887792","display_name":"Linxuan Li","orcid":"https://orcid.org/0000-0002-7920-4684"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Linxuan","raw_affiliation_strings":["Changchun University of Science and Technology, Academy of computer science and technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology, Academy of computer science and technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046887792","display_name":"Linxuan Li","orcid":"https://orcid.org/0000-0002-7920-4684"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Linxuan","raw_affiliation_strings":["Changchun University of Science and Technology, Academy of computer science and technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology, Academy of computer science and technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095908061","display_name":"Bai Chuanao","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bai Chuanao","raw_affiliation_strings":["Changchun University of Science and Technology, Academy of computer science and technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology, Academy of computer science and technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5095908061","display_name":"Bai Chuanao","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bai Chuanao","raw_affiliation_strings":["Changchun University of Science and Technology, Academy of computer science and technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology, Academy of computer science and technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5046887792","https://openalex.org/A5095908061","https://openalex.org/A5100726322","https://openalex.org/A5101200737"],"corresponding_institution_ids":["https://openalex.org/I106645853"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0466351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":"4","first_page":"637","last_page":"653"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9944000244140625,"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":0.8371111154556274},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6831220984458923},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6167011857032776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5097607970237732},{"id":"https://openalex.org/keywords/open-set","display_name":"Open set","score":0.4867980182170868},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43505096435546875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3696085810661316},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2743288278579712},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0635296106338501}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8371111154556274},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6831220984458923},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6167011857032776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5097607970237732},{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.4867980182170868},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43505096435546875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3696085810661316},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2743288278579712},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0635296106338501},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/aic-230270","is_oa":false,"landing_page_url":"https://doi.org/10.3233/aic-230270","pdf_url":null,"source":{"id":"https://openalex.org/S176303223","display_name":"AI Communications","issn_l":"0921-7126","issn":["0921-7126","1875-8452"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6499999761581421,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1032927584","https://openalex.org/W1682403713","https://openalex.org/W1861492603","https://openalex.org/W1917989004","https://openalex.org/W1977556410","https://openalex.org/W2018459374","https://openalex.org/W2024060531","https://openalex.org/W2031489346","https://openalex.org/W2060277733","https://openalex.org/W2088049833","https://openalex.org/W2119880843","https://openalex.org/W2194775991","https://openalex.org/W2418213296","https://openalex.org/W2542898981","https://openalex.org/W2560647685","https://openalex.org/W2740924709","https://openalex.org/W2785496677","https://openalex.org/W2884282566","https://openalex.org/W2904509905","https://openalex.org/W2920292591","https://openalex.org/W2962933664","https://openalex.org/W2963037989","https://openalex.org/W2963072899","https://openalex.org/W2963351448","https://openalex.org/W2963588172","https://openalex.org/W2963611739","https://openalex.org/W2964189064","https://openalex.org/W3009436130","https://openalex.org/W3034911677","https://openalex.org/W3034942609","https://openalex.org/W3035397554","https://openalex.org/W3089995717","https://openalex.org/W3096609285","https://openalex.org/W3104770333","https://openalex.org/W3157926441","https://openalex.org/W3162332195","https://openalex.org/W3166596953","https://openalex.org/W3174563152","https://openalex.org/W3176709420","https://openalex.org/W3176716813","https://openalex.org/W3217535672","https://openalex.org/W4223646441","https://openalex.org/W4312408105","https://openalex.org/W4313018996","https://openalex.org/W4386075732","https://openalex.org/W4386076022","https://openalex.org/W4386076325","https://openalex.org/W4386113253","https://openalex.org/W6644682428"],"related_works":["https://openalex.org/W2381457774","https://openalex.org/W4313233182","https://openalex.org/W3147584709","https://openalex.org/W2737719445","https://openalex.org/W4239098401","https://openalex.org/W2977677679","https://openalex.org/W4309570356","https://openalex.org/W1992327129","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Traditional":[0],"object":[1,24,31,69,133],"detection":[2,25,32],"algorithms":[3],"operate":[4],"within":[5],"a":[6],"closed":[7],"set,":[8],"where":[9],"the":[10,20,56,81,89,94,107,127],"training":[11],"data":[12],"may":[13],"not":[14,73],"cover":[15],"all":[16],"real-world":[17],"objects.":[18],"Therefore,":[19],"issue":[21],"of":[22,101],"open-world":[23],"has":[26,113],"attracted":[27],"significant":[28],"attention.":[29],"Open-world":[30],"faces":[33],"two":[34],"major":[35],"challenges:":[36],"\u201cneglecting":[37],"unknown":[38,42,65,86,102],"objects\u201d":[39],"and":[40,103,123],"\u201cmisclassifying":[41],"objects":[43,66,87],"as":[44,120],"known":[45,104],"ones.\u201d":[46],"In":[47],"our":[48],"study,":[49],"we":[50,92],"address":[51],"these":[52],"challenges":[53,128],"by":[54,130],"utilizing":[55],"Region":[57],"Proposal":[58],"Network":[59],"(RPN)":[60],"outputs":[61],"to":[62,98],"identify":[63],"potential":[64],"with":[67,75],"high":[68],"scores":[70],"that":[71],"do":[72],"overlap":[74],"ground":[76],"truth":[77],"annotations.":[78],"We":[79],"introduce":[80],"reselection":[82],"mechanism,":[83],"which":[84],"separates":[85],"from":[88],"background.":[90],"Subsequently,":[91],"employ":[93],"simulated":[95],"annealing":[96],"algorithm":[97],"disentangle":[99],"features":[100],"classes,":[105],"guiding":[106],"detector\u2019s":[108],"learning":[109],"process.":[110],"Our":[111],"method":[112],"improved":[114],"on":[115],"multiple":[116],"evaluation":[117],"metrics":[118],"such":[119],"U-mAP,":[121],"U-recall,":[122],"UDP,":[124],"greatly":[125],"alleviating":[126],"faced":[129],"open":[131],"world":[132],"detection.":[134]},"counts_by_year":[],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
