{"id":"https://openalex.org/W2005360793","doi":"https://doi.org/10.1007/s00521-015-1877-0","title":"Transferred IR pedestrian detector toward distinct scenarios adaptation","display_name":"Transferred IR pedestrian detector toward distinct scenarios adaptation","publication_year":2015,"publication_date":"2015-03-26","ids":{"openalex":"https://openalex.org/W2005360793","doi":"https://doi.org/10.1007/s00521-015-1877-0","mag":"2005360793"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-015-1877-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-015-1877-0","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","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/A5031627300","display_name":"Jiajun Zhuang","orcid":"https://orcid.org/0000-0002-7050-9801"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]},{"id":"https://openalex.org/I94357780","display_name":"Zhongkai University of Agriculture and Engineering","ror":"https://ror.org/000b7ms85","country_code":"CN","type":"education","lineage":["https://openalex.org/I94357780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Zhuang","raw_affiliation_strings":["College of Computational Science, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China","School of Software Engineering, South China University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computational Science, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China","institution_ids":["https://openalex.org/I94357780"]},{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100336310","display_name":"Qiong Liu","orcid":"https://orcid.org/0000-0002-6410-615X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiong Liu","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100336310"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":{"value":3290,"currency":"USD","value_usd":3290},"apc_paid":null,"fwci":0.2381,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63994871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27","issue":"3","first_page":"557","last_page":"569"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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":0.9980999827384949,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8065723180770874},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.7806788086891174},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6095554828643799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5996479392051697},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5659114718437195},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5605806112289429},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5600108504295349},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5407469272613525},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.5258662700653076},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5209792256355286},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4301564693450928},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4249141216278076},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4234228730201721},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4186723232269287},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39906492829322815},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33840012550354004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07009631395339966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8065723180770874},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.7806788086891174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6095554828643799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5996479392051697},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5659114718437195},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5605806112289429},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5600108504295349},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5407469272613525},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.5258662700653076},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5209792256355286},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4301564693450928},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4249141216278076},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4234228730201721},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4186723232269287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39906492829322815},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33840012550354004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07009631395339966},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-015-1877-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-015-1877-0","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":31,"referenced_works":["https://openalex.org/W1988790447","https://openalex.org/W1992037771","https://openalex.org/W1994129692","https://openalex.org/W1996303439","https://openalex.org/W2009726875","https://openalex.org/W2014240407","https://openalex.org/W2031489346","https://openalex.org/W2047409340","https://openalex.org/W2066740411","https://openalex.org/W2079057609","https://openalex.org/W2100862829","https://openalex.org/W2105557521","https://openalex.org/W2111227709","https://openalex.org/W2115574509","https://openalex.org/W2116374865","https://openalex.org/W2120339771","https://openalex.org/W2121496627","https://openalex.org/W2121955477","https://openalex.org/W2122838776","https://openalex.org/W2133984628","https://openalex.org/W2138958060","https://openalex.org/W2143629212","https://openalex.org/W2156546852","https://openalex.org/W2158896888","https://openalex.org/W2160127501","https://openalex.org/W2161969291","https://openalex.org/W2163314977","https://openalex.org/W2164598857","https://openalex.org/W2165698076","https://openalex.org/W2212983101","https://openalex.org/W2519628959"],"related_works":["https://openalex.org/W2161221533","https://openalex.org/W4229699405","https://openalex.org/W1666484574","https://openalex.org/W2216382288","https://openalex.org/W2355491300","https://openalex.org/W2914343065","https://openalex.org/W2760891738","https://openalex.org/W3193920202","https://openalex.org/W4318813552","https://openalex.org/W2576964996"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}