{"id":"https://openalex.org/W2921796113","doi":"https://doi.org/10.5220/0007360003210327","title":"Domain Adaptation for Pedestrian DCNN Detector toward a Specific Scene and an Embedded Platform","display_name":"Domain Adaptation for Pedestrian DCNN Detector toward a Specific Scene and an Embedded Platform","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2921796113","doi":"https://doi.org/10.5220/0007360003210327","mag":"2921796113"},"language":"en","primary_location":{"id":"doi:10.5220/0007360003210327","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007360003210327","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0007360003210327","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072302906","display_name":"Nada Hammami","orcid":null},"institutions":[{"id":"https://openalex.org/I169645620","display_name":"Institut Pascal","ror":"https://ror.org/03vgfxd91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I169645620","https://openalex.org/I198244214","https://openalex.org/I4210095849"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Nada Hammami","raw_affiliation_strings":["Institut Pascal, Clermont Auvergne University and France, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Pascal, Clermont Auvergne University and France, --- Select a Country ---","institution_ids":["https://openalex.org/I169645620"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055304545","display_name":"Ala Mhalla","orcid":"https://orcid.org/0000-0002-8436-2468"},"institutions":[{"id":"https://openalex.org/I169645620","display_name":"Institut Pascal","ror":"https://ror.org/03vgfxd91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I169645620","https://openalex.org/I198244214","https://openalex.org/I4210095849"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ala Mhalla","raw_affiliation_strings":["Institut Pascal, Clermont Auvergne University and France, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Pascal, Clermont Auvergne University and France, --- Select a Country ---","institution_ids":["https://openalex.org/I169645620"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026401172","display_name":"Alexis Landrault","orcid":null},"institutions":[{"id":"https://openalex.org/I169645620","display_name":"Institut Pascal","ror":"https://ror.org/03vgfxd91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I169645620","https://openalex.org/I198244214","https://openalex.org/I4210095849"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexis Landrault","raw_affiliation_strings":["Institut Pascal, Clermont Auvergne University and France, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Pascal, Clermont Auvergne University and France, --- Select a Country ---","institution_ids":["https://openalex.org/I169645620"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072302906"],"corresponding_institution_ids":["https://openalex.org/I169645620"],"apc_list":null,"apc_paid":null,"fwci":0.1021,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40869127,"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":"321","last_page":"327"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9965000152587891,"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":0.9965000152587891,"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":0.9940000176429749,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9757000207901001,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.825616717338562},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.823938250541687},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7383082509040833},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6948230266571045},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6676381826400757},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.6255031228065491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.578190267086029},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5278282761573792},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49604853987693787},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4508783221244812},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4280723035335541},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.40045762062072754},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39705565571784973},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22825005650520325},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09529286623001099},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09033721685409546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.825616717338562},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.823938250541687},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7383082509040833},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6948230266571045},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6676381826400757},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.6255031228065491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.578190267086029},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5278282761573792},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49604853987693787},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4508783221244812},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4280723035335541},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.40045762062072754},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39705565571784973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22825005650520325},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09529286623001099},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09033721685409546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0007360003210327","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007360003210327","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04872031v1","is_oa":false,"landing_page_url":"https://uca.hal.science/hal-04872031","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"14th International Conference on Computer Vision Theory and Applications, Feb 2019, Prague, France. pp.321-327, ⟨10.5220/0007360003210327⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.5220/0007360003210327","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007360003210327","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2802018156","https://openalex.org/W2101531944","https://openalex.org/W4313315626","https://openalex.org/W2969228573","https://openalex.org/W2963690996","https://openalex.org/W4312696271","https://openalex.org/W4223892596","https://openalex.org/W2933098581"],"abstract_inverted_index":{"International":[0],"audience":[1]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}