{"id":"https://openalex.org/W3009038511","doi":"https://doi.org/10.1145/3374587.3374621","title":"Residual Mask Based on MobileNet-V2 for Driver's Dangerous Behavior Recognition","display_name":"Residual Mask Based on MobileNet-V2 for Driver's Dangerous Behavior Recognition","publication_year":2019,"publication_date":"2019-12-06","ids":{"openalex":"https://openalex.org/W3009038511","doi":"https://doi.org/10.1145/3374587.3374621","mag":"3009038511"},"language":"en","primary_location":{"id":"doi:10.1145/3374587.3374621","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374587.3374621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Computer Science and Artificial Intelligence","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/A5114889392","display_name":"Haotian Wang","orcid":"https://orcid.org/0009-0001-5363-3886"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haotian Wang","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5114889392"],"corresponding_institution_ids":["https://openalex.org/I74525822"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.60370714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"196","last_page":"199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.9455190896987915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7024170160293579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3685082197189331},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33711767196655273},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.334983229637146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3249598741531372}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.9455190896987915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7024170160293579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3685082197189331},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33711767196655273},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.334983229637146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3249598741531372}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3374587.3374621","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374587.3374621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W892434937","https://openalex.org/W1978447760","https://openalex.org/W2076063813","https://openalex.org/W2531409750","https://openalex.org/W2533823693","https://openalex.org/W2553303224","https://openalex.org/W2607088847","https://openalex.org/W2612445135","https://openalex.org/W2886851211","https://openalex.org/W2949117887","https://openalex.org/W2951583185","https://openalex.org/W2963163009"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"We":[0,30],"introduce":[1],"a":[2,24,35,44],"new":[3],"residual":[4,9,53],"mask":[5,54],"into":[6],"the":[7,16,19,51,62],"inverted":[8],"structure":[10],"in":[11],"MobileNet-V2,":[12],"which":[13],"significantly":[14],"improved":[15],"performance":[17],"of":[18,27,43],"original":[20,63],"network,":[21],"with":[22,50],"only":[23],"minimal":[25],"number":[26],"parameters":[28],"added.":[29],"train":[31],"our":[32],"networks":[33],"on":[34],"larger":[36],"public":[37],"dataset":[38],"to":[39],"detect":[40],"distract":[41],"behaviors":[42],"driver.":[45],"Experiments":[46],"show":[47],"that":[48],"MobileNet-v2":[49],"proposed":[52],"converges":[55],"faster":[56],"and":[57],"achieves":[58],"better":[59],"accuracy":[60],"than":[61],"network.":[64]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}