{"id":"https://openalex.org/W2790434981","doi":"https://doi.org/10.1145/3177404.3177412","title":"On the study of predictors in Single Shot Multibox Detector","display_name":"On the study of predictors in Single Shot Multibox Detector","publication_year":2017,"publication_date":"2017-12-27","ids":{"openalex":"https://openalex.org/W2790434981","doi":"https://doi.org/10.1145/3177404.3177412","mag":"2790434981"},"language":"en","primary_location":{"id":"doi:10.1145/3177404.3177412","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3177404.3177412","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3177412&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Video and Image Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3177412&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100458706","display_name":"Xuemei Xie","orcid":"https://orcid.org/0000-0001-7857-0845"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuemei Xie","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451919","display_name":"Xun Xu","orcid":"https://orcid.org/0000-0001-6294-8153"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Xu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101487901","display_name":"Lihua Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Ma","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101549504","display_name":"Guangming Shi","orcid":"https://orcid.org/0000-0003-2179-3292"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Shi","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067114624","display_name":"Pengfei Chen","orcid":"https://orcid.org/0000-0003-4560-0045"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Chen","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100458706"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.51714709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"186","last_page":"191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973000288009644,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.8044214248657227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.789053738117218},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7430074214935303},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5801339149475098},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5699524879455566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5665609836578369},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5440986156463623},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47442716360092163},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4634667932987213},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4488619863986969},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4263913333415985},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34516972303390503},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09381070733070374}],"concepts":[{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.8044214248657227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.789053738117218},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7430074214935303},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5801339149475098},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5699524879455566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5665609836578369},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5440986156463623},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47442716360092163},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4634667932987213},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4488619863986969},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4263913333415985},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34516972303390503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09381070733070374},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3177404.3177412","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3177404.3177412","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3177412&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Video and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3177404.3177412","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3177404.3177412","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3177412&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Video and Image Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2790434981.pdf","grobid_xml":"https://content.openalex.org/works/W2790434981.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W2102605133","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2179352600","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2618530766","https://openalex.org/W2963037989","https://openalex.org/W3098722327","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W3142396426","https://openalex.org/W2471333042","https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W2955491601","https://openalex.org/W3044321615","https://openalex.org/W4396643691","https://openalex.org/W146529714","https://openalex.org/W4402383816","https://openalex.org/W2316500695"],"abstract_inverted_index":{"Single":[0],"shot":[1],"multibox":[2],"detector":[3],"(SSD)":[4],"is":[5,14,30],"a":[6,62,95],"state-of-the-art":[7],"network":[8],"for":[9,17,21],"real-time":[10],"object":[11],"detection.":[12],"It":[13],"originally":[15],"designed":[16],"general":[18],"datasets.":[19,50,104],"While,":[20],"specific":[22,49,103],"datasets,":[23],"their":[24],"distribution":[25],"of":[26,46,56,61],"ground":[27],"truth":[28],"boxes":[29,78],"somehow":[31],"different":[32],"and":[33,69,79,93],"thus,":[34],"SSD":[35,47,101],"shows":[36],"unsatisfying":[37],"performance.":[38],"In":[39],"this":[40,82],"paper,":[41],"we":[42,72,84],"improve":[43],"the":[44,54,58,74,99],"performance":[45],"on":[48,89,102],"We":[51],"first":[52],"dissect":[53],"mechanism":[55],"predictors,":[57],"predicting":[59],"parameters":[60],"potential":[63],"detection,":[64],"in":[65],"two":[66],"aspects:":[67],"classification":[68],"localization.":[70],"Then":[71],"reveal":[73],"relationship":[75],"between":[76],"default":[77,90],"predictors.":[80],"With":[81],"point":[83],"finally":[85],"make":[86],"an":[87],"improvement":[88],"box":[91],"setting":[92],"achieve":[94],"higher":[96],"mAP":[97],"over":[98],"original":[100]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}