{"id":"https://openalex.org/W4376663970","doi":"https://doi.org/10.1145/3591106.3592255","title":"Tweaking EfficientDet for frugal training","display_name":"Tweaking EfficientDet for frugal training","publication_year":2023,"publication_date":"2023-06-08","ids":{"openalex":"https://openalex.org/W4376663970","doi":"https://doi.org/10.1145/3591106.3592255"},"language":"en","primary_location":{"id":"doi:10.1145/3591106.3592255","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3591106.3592255","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 ACM International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/7945269","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034701270","display_name":"Georgios Orfanidis","orcid":"https://orcid.org/0000-0003-2908-7843"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Georgios Orfanidis","raw_affiliation_strings":["Centre for Research &amp; Technology Hellas / Information Technologies Institute, Greece"],"raw_orcid":"https://orcid.org/0000-0003-2908-7843","affiliations":[{"raw_affiliation_string":"Centre for Research &amp; Technology Hellas / Information Technologies Institute, Greece","institution_ids":["https://openalex.org/I4210093649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102780412","display_name":"Konstantinos Ioannidis","orcid":"https://orcid.org/0000-0001-6767-8762"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos Ioannidis","raw_affiliation_strings":["Centre for Research &amp; Technology Hellas / Information Technologies Institute, Greece"],"raw_orcid":"https://orcid.org/0000-0001-6767-8762","affiliations":[{"raw_affiliation_string":"Centre for Research &amp; Technology Hellas / Information Technologies Institute, Greece","institution_ids":["https://openalex.org/I4210093649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041054091","display_name":"Anastasios Tefas","orcid":"https://orcid.org/0000-0003-1288-3667"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anastasios Tefas","raw_affiliation_strings":["Aristotle University of Thessaloniki / Department of School of Informatics, Greece"],"raw_orcid":"https://orcid.org/0000-0003-1288-3667","affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki / Department of School of Informatics, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065313479","display_name":"Stefanos Vrochidis","orcid":"https://orcid.org/0000-0002-2505-9178"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Stefanos Vrochidis","raw_affiliation_strings":["Centre for Research &amp; Technology Hellas / Information Technologies Institute, Greece"],"raw_orcid":"https://orcid.org/0000-0002-2505-9178","affiliations":[{"raw_affiliation_string":"Centre for Research &amp; Technology Hellas / Information Technologies Institute, Greece","institution_ids":["https://openalex.org/I4210093649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084122016","display_name":"Ioannis Kompatsiaris","orcid":"https://orcid.org/0000-0001-6447-9020"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Kompatsiaris","raw_affiliation_strings":["Centre for Research &amp; Technology Hellas / Information Technologies Institute, Greece"],"raw_orcid":"https://orcid.org/0000-0001-6447-9020","affiliations":[{"raw_affiliation_string":"Centre for Research &amp; Technology Hellas / Information Technologies Institute, Greece","institution_ids":["https://openalex.org/I4210093649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5034701270"],"corresponding_institution_ids":["https://openalex.org/I4210093649"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03977576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"607","last_page":"611"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9847000241279602,"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/tweaking","display_name":"Tweaking","score":0.9739691019058228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7955746650695801},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6426423192024231},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6175547242164612},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.543550968170166},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5387715697288513},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5246784090995789},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48207980394363403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4565228819847107},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4253152310848236},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4033203721046448},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35535138845443726},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3505718410015106},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.24194088578224182}],"concepts":[{"id":"https://openalex.org/C2780200862","wikidata":"https://www.wikidata.org/wiki/Q4453309","display_name":"Tweaking","level":2,"score":0.9739691019058228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7955746650695801},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6426423192024231},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6175547242164612},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.543550968170166},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5387715697288513},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5246784090995789},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48207980394363403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4565228819847107},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4253152310848236},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4033203721046448},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35535138845443726},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3505718410015106},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.24194088578224182},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3591106.3592255","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3591106.3592255","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 ACM International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:7945269","is_oa":true,"landing_page_url":"https://zenodo.org/record/7945269","pdf_url":"https://zenodo.org/record/7945269","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:7945269","is_oa":true,"landing_page_url":"https://zenodo.org/record/7945269","pdf_url":"https://zenodo.org/record/7945269","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G2965810887","display_name":null,"funder_award_id":"101021851","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5649800881","display_name":null,"funder_award_id":"883302","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4376663970.pdf"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2037227137","https://openalex.org/W2193145675","https://openalex.org/W2557728737","https://openalex.org/W2570343428","https://openalex.org/W2962970995","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963813458","https://openalex.org/W2964241181","https://openalex.org/W2990792015","https://openalex.org/W3012573144","https://openalex.org/W3034971973","https://openalex.org/W3106250896","https://openalex.org/W3107473354"],"related_works":["https://openalex.org/W4241780599","https://openalex.org/W2968428037","https://openalex.org/W1981619058","https://openalex.org/W4244708442","https://openalex.org/W2152101763","https://openalex.org/W4323777416","https://openalex.org/W2505446473","https://openalex.org/W2057518680","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Object":[0],"detection":[1,47],"appears":[2],"to":[3,19,36],"be":[4,101],"omnipresent":[5],"nowadays":[6],"with":[7,105],"detectors":[8],"being":[9],"available":[10],"for":[11,71],"every":[12],"problem":[13],"available,":[14],"covering":[15],"solutions":[16,48],"from":[17],"extra-light":[18],"ultra":[20],"resource":[21],"demanding":[22],"models.":[23],"Yet,":[24],"the":[25,38,72],"vast":[26],"majority":[27],"of":[28,74],"these":[29],"approaches":[30],"are":[31],"based":[32],"on":[33,45,54,60,90],"large":[34],"datasets":[35,57,92,98],"provide":[37],"required":[39],"feature":[40],"diversity.":[41],"This":[42],"work":[43],"focuses":[44],"object":[46,67],"which":[49,77,99],"do":[50],"not":[51],"rely":[52],"heavily":[53],"abundant":[55],"training":[56],"but":[58],"rather":[59],"medium-sized":[61,91],"data":[62],"collections.":[63],"It":[64],"uses":[65],"Efficientdet":[66],"detector":[68],"as":[69,84],"base":[70],"application":[73],"novel":[75],"modifications":[76],"achieve":[78],"better":[79],"performance":[80],"both":[81],"in":[82,86],"efficiency":[83],"well":[85],"effectiveness.":[87],"The":[88],"focus":[89],"aim":[93],"at":[94],"representing":[95],"more":[96],"commonplace":[97],"can":[100],"accumulated":[102],"and":[103],"compiled":[104],"relative":[106],"ease.":[107]},"counts_by_year":[],"updated_date":"2026-05-04T08:30:34.212998","created_date":"2025-10-10T00:00:00"}
