{"id":"https://openalex.org/W4391769141","doi":"https://doi.org/10.1109/itsc57777.2023.10422201","title":"From Independence to Cooperation: A Novel Keypoint Extraction Framework for Autonomous Systems","display_name":"From Independence to Cooperation: A Novel Keypoint Extraction Framework for Autonomous Systems","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4391769141","doi":"https://doi.org/10.1109/itsc57777.2023.10422201"},"language":"en","primary_location":{"id":"doi:10.1109/itsc57777.2023.10422201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-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/A5100774271","display_name":"Shitao Chen","orcid":"https://orcid.org/0000-0002-9422-3058"},"institutions":[{"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":true,"raw_author_name":"Shitao Chen","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi&#x0027;an Jiaotong University,The National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications,Xi&#x0027;an,Shaanxi,China","Shunan Academy of Artificial Intelligence, Ningbo, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi&#x0027;an Jiaotong University,The National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications,Xi&#x0027;an,Shaanxi,China","institution_ids":[]},{"raw_affiliation_string":"Shunan Academy of Artificial Intelligence, Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101967050","display_name":"Haolin Zhang","orcid":"https://orcid.org/0000-0002-8549-1974"},"institutions":[{"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":"Haolin Zhang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi&#x0027;an Jiaotong University,The National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications,Xi&#x0027;an,Shaanxi,China","Shunan Academy of Artificial Intelligence, Ningbo, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi&#x0027;an Jiaotong University,The National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications,Xi&#x0027;an,Shaanxi,China","institution_ids":[]},{"raw_affiliation_string":"Shunan Academy of Artificial Intelligence, Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101121352","display_name":"Yuchen Yan","orcid":"https://orcid.org/0000-0002-7903-8102"},"institutions":[{"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":"Yuchen Yan","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi&#x0027;an Jiaotong University,The National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications,Xi&#x0027;an,Shaanxi,China","Shunan Academy of Artificial Intelligence, Ningbo, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi&#x0027;an Jiaotong University,The National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications,Xi&#x0027;an,Shaanxi,China","institution_ids":[]},{"raw_affiliation_string":"Shunan Academy of Artificial Intelligence, Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047405956","display_name":"Nanning Zheng","orcid":"https://orcid.org/0000-0003-1608-8257"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nanning Zheng","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi&#x0027;an Jiaotong University,The National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications,Xi&#x0027;an,Shaanxi,China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi&#x0027;an Jiaotong University,The National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications,Xi&#x0027;an,Shaanxi,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100774271"],"corresponding_institution_ids":["https://openalex.org/I4210100255"],"apc_list":null,"apc_paid":null,"fwci":0.4589,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73909386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3396","last_page":"3403"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.8651999831199646,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.8651999831199646,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/independence","display_name":"Independence (probability theory)","score":0.7730684876441956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5487849712371826},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4792487621307373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35354676842689514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12303441762924194},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06460991501808167}],"concepts":[{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.7730684876441956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5487849712371826},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4792487621307373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35354676842689514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12303441762924194},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06460991501808167},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc57777.2023.10422201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1532362218","https://openalex.org/W1578196132","https://openalex.org/W1945298332","https://openalex.org/W2048710758","https://openalex.org/W2108598243","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2119747362","https://openalex.org/W2124404372","https://openalex.org/W2151103935","https://openalex.org/W2320444803","https://openalex.org/W2345643369","https://openalex.org/W2464708700","https://openalex.org/W2749224737","https://openalex.org/W2804394440","https://openalex.org/W2913429812","https://openalex.org/W2913954081","https://openalex.org/W2963748588","https://openalex.org/W2979458572","https://openalex.org/W2982320652","https://openalex.org/W3009931536","https://openalex.org/W3034411221","https://openalex.org/W3035098634","https://openalex.org/W3037854993","https://openalex.org/W3043075211","https://openalex.org/W3047057232","https://openalex.org/W3049117435","https://openalex.org/W3166285241","https://openalex.org/W3175295430","https://openalex.org/W3203518786","https://openalex.org/W4200629514","https://openalex.org/W4205398292","https://openalex.org/W4210300019","https://openalex.org/W4287756444","https://openalex.org/W6752208963","https://openalex.org/W6764177528","https://openalex.org/W6780053115","https://openalex.org/W6780327073"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3125750421","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Despite":[0],"the":[1,11,14,69,102,109],"numerous":[2],"keypoint":[3,37,53,86,118],"extraction":[4],"methods":[5],"that":[6,67,113],"have":[7],"been":[8],"developed":[9],"over":[10],"past":[12],"decades,":[13],"practice":[15],"of":[16,24,104],"extracting":[17],"keypoints":[18],"for":[19,52],"each":[20],"image":[21,40,72],"without":[22],"knowledge":[23],"others":[25],"remains":[26],"unchanged.":[27],"This":[28],"independent":[29],"treatment":[30],"makes":[31],"it":[32],"difficult":[33],"to":[34,100,130],"pursue":[35],"higher":[36],"repeatability":[38,119],"among":[39],"pairs.":[41],"To":[42],"address":[43],"this":[44],"issue,":[45],"we":[46,82,93],"propose":[47],"a":[48,58,78,84,95],"novel":[49,85],"cooperative":[50],"framework":[51,56],"extraction.":[54],"Our":[55,106],"includes":[57],"lightweight":[59],"spatial-temporal":[60],"attention":[61],"module,":[62],"called":[63],"CoMod":[64,76],"(cooperative":[65],"module),":[66],"facilitates":[68],"interaction":[70],"between":[71],"representations.":[73],"By":[74],"integrating":[75],"into":[77],"Siamese":[79],"encoder-decoder":[80],"network,":[81],"introduce":[83],"detector":[87],"CoKE":[88],"(Cooperative":[89],"Keypoint":[90],"Extraction).":[91],"Additionally,":[92],"design":[94],"semi-supervised":[96],"decoupled":[97],"learning":[98],"mechanism":[99],"enable":[101],"effectiveness":[103],"CoKE.":[105],"experiments":[107],"on":[108],"HPatches":[110],"benchmark":[111],"demonstrate":[112],"our":[114],"method":[115],"achieves":[116],"state-of-the-art":[117],"performance":[120],"and":[121,133],"improves":[122],"downstream":[123],"robot":[124],"vision":[125],"tasks,":[126],"which":[127],"are":[128],"significant":[129],"autonomous":[131],"driving":[132],"intelligent":[134],"transportation":[135],"systems.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
