{"id":"https://openalex.org/W4308235684","doi":"https://doi.org/10.1109/icip46576.2022.9897513","title":"A Proper Orthogonal Decomposition Approach for Parameters Reduction of Single Shot Detector Networks","display_name":"A Proper Orthogonal Decomposition Approach for Parameters Reduction of Single Shot Detector Networks","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308235684","doi":"https://doi.org/10.1109/icip46576.2022.9897513"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897513","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077743159","display_name":"Laura Meneghetti","orcid":"https://orcid.org/0000-0002-7384-1025"},"institutions":[{"id":"https://openalex.org/I138549579","display_name":"Scuola Internazionale Superiore di Studi Avanzati","ror":"https://ror.org/004fze387","country_code":"IT","type":"education","lineage":["https://openalex.org/I138549579"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Laura Meneghetti","raw_affiliation_strings":["SISSA,Mathematics Area, mathLab,Trieste,Italy,I-34136"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SISSA,Mathematics Area, mathLab,Trieste,Italy,I-34136","institution_ids":["https://openalex.org/I138549579"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043599485","display_name":"Nicola Demo","orcid":"https://orcid.org/0000-0003-3107-9738"},"institutions":[{"id":"https://openalex.org/I138549579","display_name":"Scuola Internazionale Superiore di Studi Avanzati","ror":"https://ror.org/004fze387","country_code":"IT","type":"education","lineage":["https://openalex.org/I138549579"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Demo","raw_affiliation_strings":["SISSA,Mathematics Area, mathLab,Trieste,Italy,I-34136"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SISSA,Mathematics Area, mathLab,Trieste,Italy,I-34136","institution_ids":["https://openalex.org/I138549579"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061558433","display_name":"Gianluigi Rozza","orcid":"https://orcid.org/0000-0002-0810-8812"},"institutions":[{"id":"https://openalex.org/I138549579","display_name":"Scuola Internazionale Superiore di Studi Avanzati","ror":"https://ror.org/004fze387","country_code":"IT","type":"education","lineage":["https://openalex.org/I138549579"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianluigi Rozza","raw_affiliation_strings":["SISSA,Mathematics Area, mathLab,Trieste,Italy,I-34136"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SISSA,Mathematics Area, mathLab,Trieste,Italy,I-34136","institution_ids":["https://openalex.org/I138549579"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138549579"],"apc_list":null,"apc_paid":null,"fwci":0.2774,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61299559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2206","last_page":"2210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.998199999332428,"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":0.998199999332428,"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":0.9894999861717224,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7467514276504517},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7100048661231995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6224223375320435},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6180847883224487},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5663459897041321},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5511255264282227},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49530306458473206},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4944796562194824},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.44649872183799744},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4450570046901703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43538686633110046},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39322346448898315},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.13141721487045288}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7467514276504517},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7100048661231995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6224223375320435},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6180847883224487},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5663459897041321},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5511255264282227},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49530306458473206},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4944796562194824},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.44649872183799744},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4450570046901703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43538686633110046},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39322346448898315},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.13141721487045288},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897513","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2031489346","https://openalex.org/W2071821890","https://openalex.org/W2108598243","https://openalex.org/W2133041109","https://openalex.org/W2193145675","https://openalex.org/W2279098554","https://openalex.org/W2367030253","https://openalex.org/W2464977781","https://openalex.org/W2570343428","https://openalex.org/W2884367402","https://openalex.org/W2944659700","https://openalex.org/W2962845546","https://openalex.org/W2963037989","https://openalex.org/W2963087201","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2969807847","https://openalex.org/W2971148076","https://openalex.org/W2988916019","https://openalex.org/W2989659967","https://openalex.org/W3004652873","https://openalex.org/W3022645783","https://openalex.org/W3095125464","https://openalex.org/W3106250896","https://openalex.org/W3150079761","https://openalex.org/W3207851878","https://openalex.org/W4210753267","https://openalex.org/W4246193833","https://openalex.org/W4248056595","https://openalex.org/W4297775537","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6695314431","https://openalex.org/W6737664043","https://openalex.org/W6755999036"],"related_works":["https://openalex.org/W2493838176","https://openalex.org/W4297686120","https://openalex.org/W4376620596","https://openalex.org/W3177249605","https://openalex.org/W2534152068","https://openalex.org/W3138508047","https://openalex.org/W1972515067","https://openalex.org/W1689909837","https://openalex.org/W4293054914","https://openalex.org/W4298525700"],"abstract_inverted_index":{"As":[0],"a":[1,71,80,90,113,120,130],"major":[2],"breakthrough":[3],"in":[4,18,22,43,61,86,92,123,129],"artificial":[5],"intelligence":[6],"and":[7,28,36,50,119],"deep":[8],"learning,":[9],"Convolutional":[10],"Neural":[11],"Networks":[12],"have":[13,101],"achieved":[14],"an":[15],"impressive":[16],"success":[17],"solving":[19],"many":[20],"problems":[21,42],"several":[23],"fields":[24],"including":[25],"computer":[26],"vision":[27],"image":[29],"processing.":[30],"Real-time":[31],"performance,":[32],"robustness":[33],"of":[34,95,97,115,126],"algorithms":[35],"fast":[37],"training":[38],"processes":[39],"remain":[40],"open":[41],"these":[44,67],"contexts.":[45],"In":[46],"addition":[47],"object":[48],"recognition":[49],"detection":[51],"are":[52],"challenging":[53],"tasks":[54],"for":[55],"resource-constrained":[56],"embedded":[57],"systems,":[58],"commonly":[59],"used":[60],"the":[62,93,98,116,124,127],"industrial":[63],"sector.":[64],"To":[65],"overcome":[66],"issues,":[68],"we":[69],"propose":[70],"dimensionality":[72],"reduction":[73,84,91,114],"framework":[74,104],"based":[75],"on":[76],"Proper":[77],"Orthogonal":[78],"Decomposition,":[79],"classical":[81],"model":[82],"order":[83,87],"technique,":[85],"to":[88,105],"gain":[89],"number":[94],"hyperparameters":[96],"net.":[99],"We":[100],"applied":[102],"such":[103],"SSD300":[106],"architecture":[107],"using":[108],"PASCAL":[109],"VOC":[110],"dataset,":[111],"demonstrating":[112],"network":[117,128],"dimension":[118],"remarkable":[121],"speedup":[122],"fine-tuning":[125],"transfer":[131],"learning":[132],"context.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2022-11-09T00:00:00"}