{"id":"https://openalex.org/W7129281291","doi":"https://doi.org/10.1109/tcsvt.2026.3665637","title":"Learning Unknowns Without Forgetting Knowns: Compositional and Bidirectional Low-Rank Adaptive Open-World Detection Transformer","display_name":"Learning Unknowns Without Forgetting Knowns: Compositional and Bidirectional Low-Rank Adaptive Open-World Detection Transformer","publication_year":2026,"publication_date":"2026-02-17","ids":{"openalex":"https://openalex.org/W7129281291","doi":"https://doi.org/10.1109/tcsvt.2026.3665637"},"language":null,"primary_location":{"id":"doi:10.1109/tcsvt.2026.3665637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2026.3665637","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5125333758","display_name":"Y. M. Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuankang Pan","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0004-8390-1193","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045800438","display_name":"Zhaoquan Yuan","orcid":"https://orcid.org/0000-0002-4083-5155"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoquan Yuan","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-4083-5155","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126191624","display_name":"Xiao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wu","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8322-8558","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126211694","display_name":"Wei Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8278-1765","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073908409","display_name":"Ao Luo","orcid":"https://orcid.org/0000-0003-3494-8062"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Luo","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039349437","display_name":"Chunqiang Xu","orcid":"https://orcid.org/0000-0001-8343-9665"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changsheng Xu","raw_affiliation_strings":["Chinese Academy of Sciences, State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8343-9665","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I4210100255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18289476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"6","first_page":"7876","last_page":"7893"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.5591999888420105,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.5591999888420105,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.28200000524520874,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.044199999421834946,"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/forgetting","display_name":"Forgetting","score":0.769599974155426},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.5163999795913696},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5120000243186951},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4925999939441681},{"id":"https://openalex.org/keywords/on-the-fly","display_name":"On the fly","score":0.4438999891281128},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3644999861717224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3619999885559082},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.33899998664855957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7817999720573425},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.769599974155426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6047000288963318},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.5163999795913696},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5120000243186951},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4925999939441681},{"id":"https://openalex.org/C2781020372","wikidata":"https://www.wikidata.org/wiki/Q533093","display_name":"On the fly","level":2,"score":0.4438999891281128},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3644999861717224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3492000102996826},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.33899998664855957},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3352999985218048},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27160000801086426},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.25099998712539673},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.250900000333786},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2026.3665637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2026.3665637","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2174033765","display_name":null,"funder_award_id":"62001400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G323210025","display_name":null,"funder_award_id":"2021M702713","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5269759798","display_name":null,"funder_award_id":"61802053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G701335782","display_name":null,"funder_award_id":"62372387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G717689330","display_name":null,"funder_award_id":"2682024ZTPY044","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7305546764","display_name":null,"funder_award_id":"2024NSFSC0508","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G8039586214","display_name":null,"funder_award_id":"62402402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8062367416","display_name":null,"funder_award_id":"52441801","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8130260271","display_name":null,"funder_award_id":"2682025ZD004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"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/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1501418839","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2027731726","https://openalex.org/W2031489346","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2118615399","https://openalex.org/W2149095485","https://openalex.org/W2156406284","https://openalex.org/W2194321275","https://openalex.org/W2194775991","https://openalex.org/W2889167066","https://openalex.org/W2948672349","https://openalex.org/W2962966271","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2964118342","https://openalex.org/W2982770724","https://openalex.org/W2989604896","https://openalex.org/W3096609285","https://openalex.org/W3159481202","https://openalex.org/W3169422999","https://openalex.org/W3176709420","https://openalex.org/W3177323791","https://openalex.org/W3204359931","https://openalex.org/W3217535672","https://openalex.org/W4200193657","https://openalex.org/W4223646441","https://openalex.org/W4226029051","https://openalex.org/W4226476965","https://openalex.org/W4292787455","https://openalex.org/W4312351187","https://openalex.org/W4313018996","https://openalex.org/W4380303627","https://openalex.org/W4385756596","https://openalex.org/W4385819894","https://openalex.org/W4386075732","https://openalex.org/W4386075915","https://openalex.org/W4386076022","https://openalex.org/W4386076281","https://openalex.org/W4386076680","https://openalex.org/W4387623951","https://openalex.org/W4387831758","https://openalex.org/W4390872835","https://openalex.org/W4390874134","https://openalex.org/W4390874575","https://openalex.org/W4402592316","https://openalex.org/W4402702936","https://openalex.org/W4402716345","https://openalex.org/W4402727951","https://openalex.org/W4402754006","https://openalex.org/W4403390316","https://openalex.org/W4403841997","https://openalex.org/W4403908247","https://openalex.org/W4407128922","https://openalex.org/W4413145681","https://openalex.org/W4413146107","https://openalex.org/W4413146569","https://openalex.org/W4413146698","https://openalex.org/W4413147183","https://openalex.org/W4413147497","https://openalex.org/W4413156207","https://openalex.org/W4413156434","https://openalex.org/W7133188626","https://openalex.org/W7160163985","https://openalex.org/W7160173298"],"related_works":[],"abstract_inverted_index":{"Open-World":[0],"Object":[1],"Detection":[2],"(OWOD)":[3],"aims":[4],"to":[5,182],"detect":[6],"unseen":[7],"objects":[8,31,111],"as":[9],"\u201cunknown\u201d":[10],"while":[11,177],"incrementally":[12],"learning":[13],"them":[14],"without":[15],"catastrophic":[16,39,121],"forgetting.":[17],"This":[18],"problem":[19],"presents":[20],"two":[21],"major":[22],"challenges:":[23],"(1)":[24],"the":[25,36,50],"lack":[26],"of":[27,38,91],"annotations":[28],"for":[29,150],"unknown":[30,175],"during":[32,41,123],"training,":[33],"and":[34,52,82,112,139,154,162],"(2)":[35],"risk":[37],"forgetting":[40,122,180],"model":[42],"updates.":[43],"To":[44,93,119],"address":[45],"these":[46,144],"issues,":[47],"we":[48,97],"propose":[49],"COmpositional":[51],"Bidirectional":[53,128],"low-Rank":[54],"Adaptive":[55],"open-world":[56],"detection":[57],"transformer":[58],"(COBRA)-a":[59],"novel":[60],"framework":[61,170],"built":[62],"upon":[63],"a":[64,88,99,147],"pre-trained":[65],"Deformable":[66],"DETR":[67],"model.":[68],"Specifically,":[69],"COBRA":[70,126,169],"first":[71],"employs":[72],"an":[73],"attentional":[74],"filtering":[75],"mechanism":[76,133],"that":[77,134,166],"prunes":[78],"previously":[79],"known":[80,84],"(P-Known)":[81],"currently":[83],"(C-Known)":[85],"objects,":[86],"yielding":[87],"purified":[89],"set":[90],"candidateunknowns.":[92],"system-atically":[94],"pseudo-label":[95],"theseunknowns,":[96],"introduce":[98],"Primitive":[100],"Composition":[101],"Recognition":[102],"(PCR)":[103],"module,":[104],"which":[105],"evaluates":[106],"set-level":[107],"similarity":[108],"between":[109],"candidate":[110],"learned":[113],"primitives,":[114],"enabling":[115],"accurate":[116],"labeling":[117],"ofpseudo-unknowns.":[118],"mitigate":[120],"incremental":[124],"updates,":[125],"leverages":[127],"Low-Rank":[129],"Adaptation":[130],"(Bi-LoRA)-a":[131],"parameter-efficient":[132],"supports":[135],"forward":[136],"knowledge":[137,155],"transfer":[138],"stable":[140],"backward":[141],"integration.":[142],"Together,":[143],"components":[145],"form":[146],"synergistic":[148],"pipeline":[149],"continual":[151],"object":[152],"discovery":[153],"consolidation.":[156],"Extensive":[157],"experiments":[158],"on":[159],"MS":[160],"COCO":[161],"PASCAL":[163],"VOC":[164],"demonstrate":[165],"our":[167],"rehearsal-free":[168],"outperforms":[171],"SAM-powered":[172],"methods":[173],"in":[174],"recall":[176],"achieving":[178],"lower":[179],"compared":[181],"rehearsal-based":[183],"competitors.":[184]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-02-18T00:00:00"}