{"id":"https://openalex.org/W4385326797","doi":"https://doi.org/10.1145/3603781.3603864","title":"YOLOv4-based semantic information extraction for indoor scene targets fetching algorithm research","display_name":"YOLOv4-based semantic information extraction for indoor scene targets fetching algorithm research","publication_year":2023,"publication_date":"2023-05-26","ids":{"openalex":"https://openalex.org/W4385326797","doi":"https://doi.org/10.1145/3603781.3603864"},"language":"en","primary_location":{"id":"doi:10.1145/3603781.3603864","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3603781.3603864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","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/A5109626167","display_name":"Jin Wang","orcid":"https://orcid.org/0009-0008-3051-6944"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jin Wang","raw_affiliation_strings":["Chairman of the company, Hubei Changtou Wisdom Parking Co.,LTD, China"],"raw_orcid":"https://orcid.org/0009-0008-3051-6944","affiliations":[{"raw_affiliation_string":"Chairman of the company, Hubei Changtou Wisdom Parking Co.,LTD, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653111","display_name":"Xiaobo Sun","orcid":"https://orcid.org/0009-0000-6669-2562"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaobo Sun","raw_affiliation_strings":["President of the association, Hubei Changtou Wisdom Parking Co.,LTD, China"],"raw_orcid":"https://orcid.org/0009-0000-6669-2562","affiliations":[{"raw_affiliation_string":"President of the association, Hubei Changtou Wisdom Parking Co.,LTD, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083778774","display_name":"Mingze Wang","orcid":"https://orcid.org/0009-0005-4670-0197"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingze Wang","raw_affiliation_strings":["Director of Technical Research and Development Department, Hubei Changtou Wisdom Parking Co.,LTD, China"],"raw_orcid":"https://orcid.org/0009-0005-4670-0197","affiliations":[{"raw_affiliation_string":"Director of Technical Research and Development Department, Hubei Changtou Wisdom Parking Co.,LTD, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076853612","display_name":"C. Li","orcid":"https://orcid.org/0009-0003-6799-7423"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changwu Li","raw_affiliation_strings":["School of automation, Wuhan University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0003-6799-7423","affiliations":[{"raw_affiliation_string":"School of automation, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103111275","display_name":"Xiaoman Tang","orcid":"https://orcid.org/0009-0001-7973-9638"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoman Tang","raw_affiliation_strings":["School of automation, Wuhan University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0001-7973-9638","affiliations":[{"raw_affiliation_string":"School of automation, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109626167"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07602255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2009","issue":null,"first_page":"462","last_page":"469"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9764000177383423,"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":0.9764000177383423,"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":0.972100019454956,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9186999797821045,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.8014768958091736},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5457574129104614},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4992506504058838},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4188104271888733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4139323830604553},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3834742307662964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3234487771987915}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8014768958091736},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5457574129104614},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4992506504058838},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4188104271888733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4139323830604553},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3834742307662964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3234487771987915},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3603781.3603864","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3603781.3603864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","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":6,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2037227137","https://openalex.org/W2611042444","https://openalex.org/W2963351448"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W2052122378","https://openalex.org/W2544423928","https://openalex.org/W2062023542"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,18,25,31,39,53,61,65,69,77,84],"semantic":[4,87],"information":[5],"extraction":[6],"algorithm":[7,14],"for":[8],"indoor":[9,51,72],"scene":[10,73],"targets.":[11],"The":[12],"YOLOv4":[13,42],"is":[15,22,57],"preferred,":[16],"and":[17,46],"Leaky":[19],"ReLU":[20],"function":[21,28,34,44],"preferred":[23],"as":[24],"new":[26],"activation":[27,33,43],"scheme":[29],"through":[30],"typical":[32],"comparison":[35],"experiments":[36],"to":[37,59],"address":[38],"problems":[40],"of":[41,50,64,86],"preference":[45],"poor":[47],"multi-scale":[48],"representation":[49],"targets;":[52],"attention":[54],"fusion":[55],"mechanism":[56],"introduced":[58],"improve":[60],"classification":[62],"accuracy":[63,79,85],"network.":[66],"Experiments":[67],"on":[68],"homemade":[70],"Indoor-COCO":[71],"dataset":[74],"show":[75],"that":[76],"detection":[78],"reaches":[80],"42.09%,":[81],"which":[82],"improves":[83],"information.":[88]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
