{"id":"https://openalex.org/W4229375540","doi":"https://doi.org/10.1142/s0218001422550114","title":"A_CenterNet: Object as a Point by Attention","display_name":"A_CenterNet: Object as a Point by Attention","publication_year":2022,"publication_date":"2022-05-06","ids":{"openalex":"https://openalex.org/W4229375540","doi":"https://doi.org/10.1142/s0218001422550114"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001422550114","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422550114","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5047081251","display_name":"Xianrang Shi","orcid":"https://orcid.org/0000-0002-3440-4033"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianrang Shi","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, Nanjing, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100601243","display_name":"Yang Su","orcid":"https://orcid.org/0009-0004-2590-1654"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Su","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, Nanjing, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021250639","display_name":"Yan Ti","orcid":"https://orcid.org/0000-0003-0029-8049"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Ti","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, Nanjing, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110718007","display_name":"Tinglun Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131005","display_name":"Chery Automobile (China)","ror":"https://ror.org/02xab7z06","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210131005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tinglun Song","raw_affiliation_strings":["Chery Automobile CO., Ltd, Wuhu, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Chery Automobile CO., Ltd, Wuhu, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210131005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047081251"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":0.1008,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35096351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"36","issue":"07","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9986000061035156,"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":0.9983000159263611,"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/detector","display_name":"Detector","score":0.8283171653747559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8104491829872131},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7274008989334106},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7237909436225891},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5852071642875671},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5689996480941772},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5463311672210693},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5414829254150391},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.504607081413269},{"id":"https://openalex.org/keywords/hourglass","display_name":"Hourglass","score":0.4641023874282837},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07766827940940857},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07002168893814087}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.8283171653747559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8104491829872131},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7274008989334106},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7237909436225891},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5852071642875671},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5689996480941772},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5463311672210693},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5414829254150391},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.504607081413269},{"id":"https://openalex.org/C127532173","wikidata":"https://www.wikidata.org/wiki/Q179904","display_name":"Hourglass","level":2,"score":0.4641023874282837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07766827940940857},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07002168893814087},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001422550114","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422550114","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2117539524","https://openalex.org/W2150066425","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2307770531","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2612624696","https://openalex.org/W2884585870","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2982770724","https://openalex.org/W2991391304","https://openalex.org/W3012573144","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W2008001194","https://openalex.org/W3141841835","https://openalex.org/W2380057626","https://openalex.org/W2059645356","https://openalex.org/W2033695776","https://openalex.org/W2354533751","https://openalex.org/W1509096452","https://openalex.org/W2512390310","https://openalex.org/W2079475205","https://openalex.org/W4292830139"],"abstract_inverted_index":{"In":[0,32],"this":[1,77],"paper,":[2],"in":[3,76],"view":[4],"of":[5,8,117],"the":[6,9,33,47,62,73,91,96,112],"insufficiency":[7],"CenterNet":[10],"detector\u2019s":[11],"inability":[12],"to":[13],"achieve":[14],"high":[15,19],"real-time":[16],"performance":[17],"with":[18,84,100,107],"accuracy":[20],"when":[21],"performing":[22],"object":[23],"detection,":[24],"we":[25,35,44,52],"designed":[26,39],"a":[27,80],"new":[28],"detector":[29],"called":[30],"A_CenterNet.":[31],"detector,":[34],"use":[36,46],"our":[37,57],"newly":[38],"lightweight":[40],"Hourglass-256":[41],"model,":[42],"and":[43],"also":[45],"feature":[48],"map":[49],"fusion":[50],"method":[51],"designed,":[53],"as":[54,56],"well":[55],"improved":[58],"attention":[59],"mechanism.":[60],"Through":[61],"experimental":[63],"results":[64],"on":[65,95],"multiple":[66],"datasets,":[67],"it":[68],"can":[69],"be":[70],"known":[71],"that":[72],"A_CenterNet":[74,89,109],"proposed":[75],"paper":[78],"has":[79],"competitive":[81],"advantage":[82],"compared":[83],"some":[85],"existing":[86],"classic":[87],"detectors.":[88],"achieves":[90],"best":[92],"speed-accuracy":[93],"trade-off":[94],"MS":[97],"COCO":[98],"dataset,":[99],"44.6":[101],"AP":[102],"at":[103],"36":[104],"FPS.":[105],"Compared":[106],"CenterNet,":[108],"greatly":[110],"improves":[111],"detection":[113,118],"speed":[114],"without":[115],"loss":[116],"accuracy.":[119]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
