{"id":"https://openalex.org/W4386065740","doi":"https://doi.org/10.1109/cvpr52729.2023.01887","title":"DETRs with Hybrid Matching","display_name":"DETRs with Hybrid Matching","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386065740","doi":"https://doi.org/10.1109/cvpr52729.2023.01887"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.01887","doi":"https://doi.org/10.1109/cvpr52729.2023.01887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01887","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2207.13080","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101644889","display_name":"Ding Jia","orcid":"https://orcid.org/0000-0002-1824-0710","observed_orcids":["https://orcid.org/0000-0002-1824-0710"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding Jia","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051826701","display_name":"Yuhui Yuan","orcid":"https://orcid.org/0000-0002-8345-4205","observed_orcids":["https://orcid.org/0000-0002-8345-4205"]},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Yuan","raw_affiliation_strings":["Microsoft Research Asia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035635836","display_name":"Haodi He","orcid":"https://orcid.org/0009-0001-5534-7795","observed_orcids":["https://orcid.org/0009-0001-5534-7795"]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haodi He","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110424958","display_name":"Xiaopei Wu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopei Wu","raw_affiliation_strings":["Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102070847","display_name":"Haojun Yu","orcid":"https://orcid.org/0009-0004-5291-8363","observed_orcids":["https://orcid.org/0009-0004-5291-8363"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojun Yu","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101062259","display_name":"Weihong Lin","orcid":"https://orcid.org/0000-0002-5828-8487","observed_orcids":["https://orcid.org/0000-0002-5828-8487"]},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihong Lin","raw_affiliation_strings":["Microsoft Research Asia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lei Sun","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Sun","raw_affiliation_strings":["Microsoft Research Asia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460139","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0002-1018-4144","observed_orcids":["https://orcid.org/0000-0002-1018-4144"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101976576","display_name":"Han Hu","orcid":"https://orcid.org/0000-0001-5104-6146","observed_orcids":["https://orcid.org/0000-0001-5104-6146","https://orcid.org/0000-0001-7532-0496","https://orcid.org/0009-0009-3727-2206"]},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Hu","raw_affiliation_strings":["Microsoft Research Asia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":29.283,"has_fulltext":true,"cited_by_count":335,"citation_normalized_percentile":{"value":0.99669691,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"19702","last_page":"19712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9883000254631042,"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":0.9883000254631042,"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":0.004800000227987766,"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":0.002199999988079071,"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/detr","display_name":"DETR","score":0.9160000085830688},{"id":"https://openalex.org/keywords/set-matching","display_name":"set matching","score":0.7760000228881836},{"id":"https://openalex.org/keywords/one-to-many-matching","display_name":"one-to-many matching","score":0.9169999957084656},{"id":"https://openalex.org/keywords/one-to-one-matching","display_name":"one-to-one matching","score":0.8679999709129333},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.7120000123977661},{"id":"https://openalex.org/keywords/end-to-end-learning","display_name":"end-to-end learning","score":0.7099999785423279},{"id":"https://openalex.org/keywords/deformable-detr","display_name":"Deformable DETR","score":0.8510000109672546},{"id":"https://openalex.org/keywords/inference-efficiency","display_name":"inference efficiency","score":0.375}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7807692289352417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7080338001251221},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6663797497749329},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6302578449249268},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5630331039428711},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.501352071762085},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4977424442768097},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4691181480884552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43909966945648193},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4250718951225281},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33904629945755005},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3313096761703491},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13059952855110168},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07095146179199219},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06864708662033081},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr52729.2023.01887","doi":"https://doi.org/10.1109/cvpr52729.2023.01887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01887","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2207.13080","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.13080","pdf_url":"https://arxiv.org/pdf/2207.13080","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2207.13080","doi":"https://doi.org/10.48550/arxiv.2207.13080","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2207.13080","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2207.13080","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.13080","pdf_url":"https://arxiv.org/pdf/2207.13080","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1491187181","display_name":"\u7a33\u5065\u9ad8\u6548\u7684\u56fe\u50cf\u5206\u7c7b\u68c0\u7d22\u8f7b\u91cf\u7ea7\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7814\u7a76","funder_award_id":"62071013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7130429950","display_name":null,"funder_award_id":"2018AAA0100300","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G729441700","display_name":null,"funder_award_id":"61671027","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386065740.pdf","grobid_xml":"https://content.openalex.org/works/W4386065740.grobid-xml"},"referenced_works_count":89,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2144506857","https://openalex.org/W2291627510","https://openalex.org/W2626778328","https://openalex.org/W2963351448","https://openalex.org/W2976122994","https://openalex.org/W2982723417","https://openalex.org/W2982770724","https://openalex.org/W2987206775","https://openalex.org/W3030520226","https://openalex.org/W3035396860","https://openalex.org/W3039009902","https://openalex.org/W3092462694","https://openalex.org/W3106250896","https://openalex.org/W3108257525","https://openalex.org/W3115390238","https://openalex.org/W3119686997","https://openalex.org/W3134717969","https://openalex.org/W3138516171","https://openalex.org/W3139517252","https://openalex.org/W3142630836","https://openalex.org/W3143166043","https://openalex.org/W3144314306","https://openalex.org/W3158818292","https://openalex.org/W3159619744","https://openalex.org/W3162457465","https://openalex.org/W3164823914","https://openalex.org/W3168649818","https://openalex.org/W3168783492","https://openalex.org/W3171162369","https://openalex.org/W3176892444","https://openalex.org/W3184923351","https://openalex.org/W3186564193","https://openalex.org/W3194329900","https://openalex.org/W3199093552","https://openalex.org/W3201095453","https://openalex.org/W3203003533","https://openalex.org/W3203572876","https://openalex.org/W3203925315","https://openalex.org/W3203974803","https://openalex.org/W3206020460","https://openalex.org/W3212454889","https://openalex.org/W3215758366","https://openalex.org/W3217139832","https://openalex.org/W4200631575","https://openalex.org/W4221138453","https://openalex.org/W4221146106","https://openalex.org/W4221158448","https://openalex.org/W4224947594","https://openalex.org/W4225544038","https://openalex.org/W4226013992","https://openalex.org/W4226024706","https://openalex.org/W4226069476","https://openalex.org/W4226300314","https://openalex.org/W4226305814","https://openalex.org/W4283819626","https://openalex.org/W4286974534","https://openalex.org/W4286982960","https://openalex.org/W4303448874","https://openalex.org/W4307494192","https://openalex.org/W4312230431","https://openalex.org/W4312263794","https://openalex.org/W4312294051","https://openalex.org/W4312312588","https://openalex.org/W4312349930","https://openalex.org/W4312403814","https://openalex.org/W4312424618","https://openalex.org/W4312443924","https://openalex.org/W4312444958","https://openalex.org/W4312473433","https://openalex.org/W4312615272","https://openalex.org/W4312692509","https://openalex.org/W4312707458","https://openalex.org/W4312769131","https://openalex.org/W4312894406","https://openalex.org/W4312967365","https://openalex.org/W4312988011","https://openalex.org/W4313136325","https://openalex.org/W4383066393","https://openalex.org/W4386071535","https://openalex.org/W4386723894","https://openalex.org/W4389179984","https://openalex.org/W4390871882","https://openalex.org/W4390872833","https://openalex.org/W4399938885","https://openalex.org/W6802311648","https://openalex.org/W7133227460","https://openalex.org/W7133232401"],"related_works":["https://openalex.org/W4393206950","https://openalex.org/W7117418106","https://openalex.org/W7162315283","https://openalex.org/W7134847302","https://openalex.org/W4402702961","https://openalex.org/W4402441019","https://openalex.org/W4311432503","https://openalex.org/W4391971934","https://openalex.org/W4390873750","https://openalex.org/W4416058267"],"abstract_inverted_index":{"One-to-one":[0],"set":[1,64],"matching":[2,65,85,92,98],"is":[3,33,120,136,169],"a":[4,21,76,83,142,154],"key":[5],"design":[6],"for":[7,35],"DETR":[8,147],"to":[9,26,45,108],"establish":[10],"its":[11],"end-to-end":[12,31,125],"capability,":[13],"so":[14],"that":[15,52,87,141],"object":[16],"detection":[17],"does":[18],"not":[19],"require":[20],"hand-crafted":[22],"NMS":[23],"(non-maximum":[24],"suppression)":[25],"remove":[27],"duplicate":[28],"detections.":[29],"This":[30],"signature":[32],"important":[34],"the":[36,62,68,89,115,124,128],"versatility":[37],"of":[38,71,132,145,157],"DETR,":[39],"and":[40,61,127,138,164],"it":[41,139],"has":[42,105],"been":[43,106],"generalized":[44],"broader":[46],"vision":[47],"tasks.":[48],"However,":[49],"we":[50],"note":[51],"there":[53],"are":[54],"few":[55],"queries":[56],"assigned":[57],"as":[58],"positive":[59,72],"samples":[60],"one-to-one":[63,91,117],"significantly":[66,109],"reduces":[67],"training":[69],"efficacy":[70],"samples.":[73],"We":[74],"propose":[75],"simple":[77],"yet":[78],"effective":[79],"method":[80,135],"based":[81],"on":[82],"hybrid":[84,103],"scheme":[86],"combines":[88],"original":[90,116],"branch":[93,99,119],"with":[94],"an":[95],"auxiliary":[96],"one-to-many":[97],"during":[100],"training.":[101],"Our":[102],"strategy":[104],"shown":[107],"improve":[110],"accuracy.":[111],"In":[112],"inference,":[113],"only":[114],"match":[118],"used,":[121],"thus":[122],"maintaining":[123],"merit":[126],"same":[129],"inference":[130],"efficiency":[131],"DETR.":[133],"The":[134],"named\u210b-DETR,":[137],"shows":[140],"wide":[143,155],"range":[144,156],"representative":[146],"methods":[148],"can":[149],"be":[150],"consistently":[151],"improved":[152],"across":[153],"visual":[158],"tasks,":[159],"including":[160],"Deformable-DETR,":[161],"PETRv2,":[162],"PETR,":[163],"TransTrack,":[165],"among":[166],"others.":[167],"Code":[168],"available":[170],"at:":[171],"https://github.com/HDETR.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":72},{"year":2025,"cited_by_count":104},{"year":2024,"cited_by_count":100},{"year":2023,"cited_by_count":57},{"year":2022,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-08-23T00:00:00"}
