{"id":"https://openalex.org/W4214709339","doi":"https://doi.org/10.1145/3488933.3489037","title":"One Shot Object Detection with Mutual Global Context","display_name":"One Shot Object Detection with Mutual Global Context","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W4214709339","doi":"https://doi.org/10.1145/3488933.3489037"},"language":"en","primary_location":{"id":"doi:10.1145/3488933.3489037","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488933.3489037","pdf_url":null,"source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","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/A5037205095","display_name":"Shihai Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shihai Jia","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Robot,School of Computer ScienceampEngineering,, Wuhan Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Robot,School of Computer ScienceampEngineering,, Wuhan Institute of Technology, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028317852","display_name":"Tongwei Lu","orcid":"https://orcid.org/0000-0002-3900-6456"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongwei Lu","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Robot,School of Computer ScienceampEngineering,, Wuhan Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Robot,School of Computer ScienceampEngineering,, Wuhan Institute of Technology, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089432787","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0003-1923-589X"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Robot,School of Computer ScienceampEngineering,, Wuhan Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Robot,School of Computer ScienceampEngineering,, Wuhan Institute of Technology, China","institution_ids":["https://openalex.org/I91125648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037205095"],"corresponding_institution_ids":["https://openalex.org/I91125648"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.22119816,"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":"165","last_page":"171"},"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":0.9993000030517578,"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":0.9993000030517578,"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":0.9990000128746033,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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/computer-science","display_name":"Computer science","score":0.7746724486351013},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7567130327224731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6500610113143921},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6458983421325684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.533928632736206},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.45308059453964233},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4507772624492645},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42672401666641235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41992321610450745},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40800976753234863},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1074134111404419}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746724486351013},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7567130327224731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6500610113143921},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6458983421325684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.533928632736206},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.45308059453964233},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4507772624492645},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42672401666641235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41992321610450745},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40800976753234863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1074134111404419},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488933.3489037","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488933.3489037","pdf_url":null,"source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G297768725","display_name":null,"funder_award_id":"CX2020208","funder_id":"https://openalex.org/F4320325438","funder_display_name":"Wuhan Institute of Technology"}],"funders":[{"id":"https://openalex.org/F4320325438","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1487583988","https://openalex.org/W1861492603","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2575032143","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2788210750","https://openalex.org/W2799058067","https://openalex.org/W2808388233","https://openalex.org/W2890678738","https://openalex.org/W2902069582","https://openalex.org/W2929862222","https://openalex.org/W2963037989","https://openalex.org/W2963091558","https://openalex.org/W2963420686","https://openalex.org/W2964112702","https://openalex.org/W2971857369","https://openalex.org/W2979062293","https://openalex.org/W2982220924","https://openalex.org/W2983156430","https://openalex.org/W3106250896","https://openalex.org/W4295276204","https://openalex.org/W4299403016","https://openalex.org/W6639102338","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6735463952","https://openalex.org/W6748561909","https://openalex.org/W6753311412","https://openalex.org/W6756356357","https://openalex.org/W6767500435","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2372403409","https://openalex.org/W4242726756","https://openalex.org/W144832045","https://openalex.org/W1979328687","https://openalex.org/W2132049714","https://openalex.org/W2034641747","https://openalex.org/W2003949892","https://openalex.org/W2884713252","https://openalex.org/W4205201129","https://openalex.org/W2361605727"],"abstract_inverted_index":{"At":[0],"present,":[1],"DNN-based":[2],"algorithms":[3],"have":[4,132],"achieved":[5],"the":[6,80,116,126,135],"best":[7],"performance":[8],"in":[9,69],"some":[10],"computer":[11],"vision":[12],"tasks,":[13],"but":[14],"these":[15],"methods":[16],"are":[17],"usually":[18],"based":[19],"on":[20],"large":[21],"amounts":[22],"of":[23,109,118,137],"data.":[24],"In":[25,74],"this":[26,53,88,129],"work,":[27],"a":[28,58,70,91,112],"new":[29,72,113],"attention":[30],"mechanism":[31],"mutual":[32],"Global":[33],"Context(mGC)":[34],"block":[35,65,68],"is":[36],"proposed":[37,131],"for":[38,95,115],"one-shot":[39,96,138],"object":[40,139],"detection,":[41],"which":[42,62],"enables":[43],"RPN":[44],"head":[45],"to":[46,56,76],"generate":[47],"higher-quality":[48],"region":[49],"proposals.":[50],"And":[51],"abstract":[52],"mGC":[54],"function":[55],"get":[57],"three-step":[59],"general":[60],"framework,":[61],"integrates":[63],"Non-local":[64],"and":[66],"SE":[67],"brand":[71],"way.":[73],"order":[75],"classify":[77,101],"categories":[78],"that":[79,125],"model":[81],"has":[82],"not":[83],"seen":[84],"before":[85],"without":[86,104],"training,":[87],"paper":[89,130],"propose":[90],"fully":[92],"connected":[93],"classifier":[94,99,110],"scenarios.":[97],"This":[98,107],"can":[100],"unseen":[102],"class":[103],"any":[105],"fine-tuning.":[106],"type":[108],"provides":[111],"idea":[114],"improvement":[117],"metric":[119],"learning.":[120],"The":[121],"experimental":[122],"results":[123,136],"show":[124],"two":[127],"modules":[128],"greatly":[133],"improved":[134],"detection.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}