{"id":"https://openalex.org/W4205668735","doi":"https://doi.org/10.1145/3484824.3484889","title":"Object Detection using Deep Learning","display_name":"Object Detection using Deep Learning","publication_year":2021,"publication_date":"2021-08-09","ids":{"openalex":"https://openalex.org/W4205668735","doi":"https://doi.org/10.1145/3484824.3484889"},"language":"en","primary_location":{"id":"doi:10.1145/3484824.3484889","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3484824.3484889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Data Science, Machine Learning 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/A5043995915","display_name":"Biponjot Kaur","orcid":null},"institutions":[{"id":"https://openalex.org/I51452335","display_name":"Panjab University","ror":"https://ror.org/04p2sbk06","country_code":"IN","type":"education","lineage":["https://openalex.org/I51452335"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Biponjot Kaur","raw_affiliation_strings":["Computer Science and Engineering, UIET, Panjab University, Chandigarh, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, UIET, Panjab University, Chandigarh, India","institution_ids":["https://openalex.org/I51452335"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030382098","display_name":"Sarbjeet Singh","orcid":"https://orcid.org/0000-0002-7603-9230"},"institutions":[{"id":"https://openalex.org/I51452335","display_name":"Panjab University","ror":"https://ror.org/04p2sbk06","country_code":"IN","type":"education","lineage":["https://openalex.org/I51452335"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sarbjeet Singh","raw_affiliation_strings":["Computer Science and Engineering, UIET, Panjab University, Chandigarh, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, UIET, Panjab University, Chandigarh, India","institution_ids":["https://openalex.org/I51452335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043995915"],"corresponding_institution_ids":["https://openalex.org/I51452335"],"apc_list":null,"apc_paid":null,"fwci":0.4803,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.66251634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"328","last_page":"334"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.9983000159263611,"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/object-detection","display_name":"Object detection","score":0.8881642818450928},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.8241204619407654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8102866411209106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7851566076278687},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7584110498428345},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.6663597822189331},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6420818567276001},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6121122241020203},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.6070759296417236},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5519621968269348},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5388287305831909},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.5303866267204285},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.45275425910949707},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.45078742504119873},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.42453688383102417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3306535482406616},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.2556970715522766},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.24274936318397522},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08289468288421631},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06019696593284607}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.8881642818450928},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.8241204619407654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8102866411209106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7851566076278687},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7584110498428345},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.6663597822189331},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6420818567276001},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6121122241020203},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.6070759296417236},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5519621968269348},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5388287305831909},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.5303866267204285},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.45275425910949707},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.45078742504119873},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.42453688383102417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3306535482406616},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.2556970715522766},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.24274936318397522},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08289468288421631},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06019696593284607},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3484824.3484889","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3484824.3484889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3043955462","display_name":null,"funder_award_id":"R-23011/2/2019-CC&BT","funder_id":"https://openalex.org/F4320325255","funder_display_name":"Ministry of Electronics and Information technology"}],"funders":[{"id":"https://openalex.org/F4320325255","display_name":"Ministry of Electronics and Information technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2031454541","https://openalex.org/W2031489346","https://openalex.org/W2102605133","https://openalex.org/W2110379134","https://openalex.org/W2117539524","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2168356304","https://openalex.org/W2179352600","https://openalex.org/W2193145675","https://openalex.org/W2755118520","https://openalex.org/W2783231089","https://openalex.org/W2884367402","https://openalex.org/W2953591873","https://openalex.org/W2972006294","https://openalex.org/W2988916019","https://openalex.org/W3001083904","https://openalex.org/W3043995050","https://openalex.org/W3098722327","https://openalex.org/W3106250896","https://openalex.org/W4288083516"],"related_works":["https://openalex.org/W3204852000","https://openalex.org/W2903682969","https://openalex.org/W2096042813","https://openalex.org/W2080594779","https://openalex.org/W2096901180","https://openalex.org/W2364171767","https://openalex.org/W2181570714","https://openalex.org/W2350301461","https://openalex.org/W2765813512","https://openalex.org/W3009637957"],"abstract_inverted_index":{"Object":[0,66],"detection":[1,41,67,79],"is":[2,15,64,68,94],"one":[3],"of":[4,18,52,77],"the":[5,16,91],"most":[6],"critical":[7],"and":[8,26],"challenging":[9],"tasks":[10],"in":[11,30,70,73],"computer":[12],"vision.":[13],"It":[14],"process":[17],"finding":[19],"objects":[20],"belonging":[21],"to":[22,96],"some":[23,46],"predefined":[24],"categories":[25],"determining":[27],"their":[28],"location":[29],"an":[31],"image":[32],"or":[33],"video.":[34],"This":[35],"paper":[36,44],"reviews":[37],"deep":[38],"learning-based":[39],"object":[40,78,102],"models.":[42],"The":[43,49],"discusses":[45],"benchmark":[47],"datasets.":[48],"performance":[50],"evaluation":[51],"different":[53,56,71,74],"detectors":[54],"on":[55,59,98],"datasets":[57],"based":[58],"mean":[60],"Average":[61],"Precision":[62],"(mAP)":[63],"reviewed.":[65],"used":[69],"fields":[72],"forms.":[75],"Applications":[76],"like":[80],"pedestrian":[81],"detection,":[82,86],"autonomous":[83],"driving,":[84],"face":[85],"etc.,":[87],"are":[88],"presented.":[89],"Finally,":[90],"future":[92],"scope":[93],"discussed":[95],"work":[97],"new":[99],"techniques":[100],"for":[101],"detection.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}