{"id":"https://openalex.org/W4288099460","doi":"https://doi.org/10.48550/arxiv.2207.13080","title":"DETRs with Hybrid Matching","display_name":"DETRs with Hybrid Matching","publication_year":2022,"publication_date":"2022-07-26","ids":{"openalex":"https://openalex.org/W4288099460","doi":"https://doi.org/10.48550/arxiv.2207.13080"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2207.13080","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,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","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"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia, Ding","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051826701","display_name":"Yuhui Yuan","orcid":"https://orcid.org/0000-0002-8345-4205"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Yuhui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035635836","display_name":"Haodi He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Haodi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110424958","display_name":"Xiaopei Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Xiaopei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102070847","display_name":"Haojun Yu","orcid":"https://orcid.org/0009-0004-5291-8363"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Haojun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101062259","display_name":"Weihong Lin","orcid":"https://orcid.org/0000-0002-5828-8487"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Weihong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699930","display_name":"Lei Sun","orcid":"https://orcid.org/0000-0001-9960-205X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460272","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0003-3009-598X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Chao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102022513","display_name":"Han Hu","orcid":"https://orcid.org/0000-0003-1137-2208"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Han","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.799925684928894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6869699954986572},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6732491254806519},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.664964497089386},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5607298016548157},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5437106490135193},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5245109796524048},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4827651083469391},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.44916683435440063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43479642271995544},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35919421911239624},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33437249064445496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1428023874759674},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07671666145324707},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07112637162208557}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.799925684928894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869699954986572},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6732491254806519},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.664964497089386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5607298016548157},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5437106490135193},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5245109796524048},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4827651083469391},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44916683435440063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43479642271995544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35919421911239624},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33437249064445496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1428023874759674},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07671666145324707},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07112637162208557},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2207.13080","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,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi: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,"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":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2207.13080","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,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W2140798747","https://openalex.org/W2948169060","https://openalex.org/W1972035260","https://openalex.org/W2730112582","https://openalex.org/W2110696645","https://openalex.org/W2358580169","https://openalex.org/W2111347279","https://openalex.org/W4321636575","https://openalex.org/W2487211728"],"abstract_inverted_index":{"One-to-one":[0],"set":[1,64],"matching":[2,65,85,92,98],"is":[3,33,120,136,171],"a":[4,21,76,83,143,155],"key":[5],"design":[6],"for":[7,35],"DETR":[8,148],"to":[9,26,45,108],"establish":[10],"its":[11],"end-to-end":[12,31,125],"capability,":[13],"so":[14],"that":[15,52,87,142],"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":[38,71,132,146,158],"DETR,":[39],"and":[40,61,127,139,165],"it":[41,140],"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":[134,169],"named":[137],"H-DETR,":[138],"shows":[141],"wide":[144,156],"range":[145,157],"representative":[147],"methods":[149],"can":[150],"be":[151],"consistently":[152],"improved":[153],"across":[154],"visual":[159],"tasks,":[160],"including":[161],"DeformableDETR,":[162],"PETRv2,":[163],"PETR,":[164],"TransTrack,":[166],"among":[167],"others.":[168],"code":[170],"available":[172],"at:":[173],"https://github.com/HDETR":[174]},"counts_by_year":[],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
