{"id":"https://openalex.org/W2948836954","doi":"https://doi.org/10.1109/devlrn.2019.8850686","title":"Contextual Relabelling of Detected Objects","display_name":"Contextual Relabelling of Detected Objects","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2948836954","doi":"https://doi.org/10.1109/devlrn.2019.8850686","mag":"2948836954"},"language":"en","primary_location":{"id":"doi:10.1109/devlrn.2019.8850686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/devlrn.2019.8850686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1906.02534","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039350434","display_name":"Faisal Alamri","orcid":"https://orcid.org/0000-0001-6695-2504"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Faisal Alamri","raw_affiliation_strings":["Department of Computer Science, University of Exeter, Exeter, UK","The University of Exeter"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]},{"raw_affiliation_string":"The University of Exeter","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087140377","display_name":"Nicolas Pugeault","orcid":"https://orcid.org/0000-0002-3455-6280"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nicolas Pugeault","raw_affiliation_strings":["Department of Computer Science, University of Exeter, Exeter, UK","The University of Exeter"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]},{"raw_affiliation_string":"The University of Exeter","institution_ids":["https://openalex.org/I23923803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039350434"],"corresponding_institution_ids":["https://openalex.org/I23923803"],"apc_list":null,"apc_paid":null,"fwci":0.10688576,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41649771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"313","last_page":"319"},"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":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.8860868215560913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7263152599334717},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6016438603401184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5930066108703613},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48606470227241516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3536967635154724},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34081077575683594}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8860868215560913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263152599334717},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6016438603401184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5930066108703613},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48606470227241516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3536967635154724},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34081077575683594}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/devlrn.2019.8850686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/devlrn.2019.8850686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1906.02534","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.02534","pdf_url":"https://arxiv.org/pdf/1906.02534","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"","raw_type":"text"},{"id":"pmh:oai:ore.exeter.ac.uk:10871/37406","is_oa":true,"landing_page_url":"http://hdl.handle.net/10871/37406","pdf_url":"https://ore.exeter.ac.uk/repository/bitstream/10871/37406/1/1906.02534.pdf","source":{"id":"https://openalex.org/S4306401998","display_name":"Open Research Exeter (University of Exeter)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I23923803","host_organization_name":"University of Exeter","host_organization_lineage":["https://openalex.org/I23923803"],"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":"Conference paper"},{"id":"mag:2948836954","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1906.02534","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:figshare.com:article/29755058","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"Conference contribution"},{"id":"doi:10.48550/arxiv.1906.02534","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.02534","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1906.02534","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.02534","pdf_url":"https://arxiv.org/pdf/1906.02534","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320313467","display_name":"Alan Turing Institute","ror":"https://ror.org/035dkdb55"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1748750709","https://openalex.org/W1861492603","https://openalex.org/W2036167211","https://openalex.org/W2051812123","https://openalex.org/W2111868822","https://openalex.org/W2112133901","https://openalex.org/W2116510030","https://openalex.org/W2125215748","https://openalex.org/W2145315825","https://openalex.org/W2147513688","https://openalex.org/W2152608974","https://openalex.org/W2160254296","https://openalex.org/W2479423890","https://openalex.org/W2601818507","https://openalex.org/W2607855566","https://openalex.org/W2613718673","https://openalex.org/W2755118520","https://openalex.org/W2775315796","https://openalex.org/W2799215407","https://openalex.org/W2810172872","https://openalex.org/W2890715498","https://openalex.org/W2952020101","https://openalex.org/W2953152711","https://openalex.org/W3146279763","https://openalex.org/W6721769334","https://openalex.org/W6746975906","https://openalex.org/W6752810428"],"related_works":["https://openalex.org/W2979270624","https://openalex.org/W2990938950","https://openalex.org/W1989694437","https://openalex.org/W2077493928","https://openalex.org/W1951119168","https://openalex.org/W2501634421","https://openalex.org/W2088439981","https://openalex.org/W2768606520","https://openalex.org/W2906033703","https://openalex.org/W2145850538","https://openalex.org/W2957946874","https://openalex.org/W2602987301","https://openalex.org/W1997695329","https://openalex.org/W3134361179","https://openalex.org/W2008835915","https://openalex.org/W2972945519","https://openalex.org/W2246018620","https://openalex.org/W3000279895","https://openalex.org/W2964920648","https://openalex.org/W2897609390"],"abstract_inverted_index":{"Contextual":[0],"information,":[1],"such":[2],"as":[3],"the":[4,9,60,80],"co-occurrence":[5],"of":[6],"objects":[7,15],"and":[8,11,18,43],"spatial":[10],"relative":[12],"size":[13],"among":[14],"provides":[16],"deep":[17],"complex":[19],"information":[20,49],"about":[21],"scenes.":[22],"It":[23],"also":[24],"can":[25],"play":[26],"an":[27],"important":[28],"role":[29],"in":[30,55,76,85],"improving":[31],"object":[32,63],"detection.":[33],"In":[34],"this":[35,56,86],"work,":[36],"we":[37],"present":[38],"two":[39],"contextual":[40,48,51],"models":[41,72],"(rescoring":[42],"re-labeling":[44],"models)":[45],"that":[46,70],"leverage":[47],"(16":[50],"relationships":[52],"are":[53],"applied":[54],"paper)":[57],"to":[58,74],"enhance":[59],"state-of-the-art":[61],"RCNN-based":[62],"detection":[64,77],"(Faster":[65],"RCNN).":[66],"We":[67],"experimentally":[68],"demonstrate":[69],"our":[71],"lead":[73],"enhancement":[75],"performance":[78],"using":[79],"most":[81],"common":[82],"dataset":[83],"used":[84],"field":[87],"(MSCOCO).":[88]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-02-12T00:53:03.260389","created_date":"2025-10-10T00:00:00"}