{"id":"https://openalex.org/W4240862504","doi":"https://doi.org/10.1109/mmsp53017.2021.9733617","title":"Supervised Fine-tuning Evaluation for Long-term Visual Place Recognition","display_name":"Supervised Fine-tuning Evaluation for Long-term Visual Place Recognition","publication_year":2021,"publication_date":"2021-10-06","ids":{"openalex":"https://openalex.org/W4240862504","doi":"https://doi.org/10.1109/mmsp53017.2021.9733617"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp53017.2021.9733617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp53017.2021.9733617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5078560324","display_name":"Farid Alijani","orcid":"https://orcid.org/0000-0003-3928-7291"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Farid Alijani","raw_affiliation_strings":["Tampere University,Faculty of Information Technology and Communication Sciences","Faculty of Information Technology and Communication Sciences, Tampere University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University,Faculty of Information Technology and Communication Sciences","institution_ids":["https://openalex.org/I166825849"]},{"raw_affiliation_string":"Faculty of Information Technology and Communication Sciences, Tampere University","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088180438","display_name":"Esa Rahtu","orcid":"https://orcid.org/0000-0001-8767-0864"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Esa Rahtu","raw_affiliation_strings":["Tampere University,Faculty of Information Technology and Communication Sciences","Faculty of Information Technology and Communication Sciences, Tampere University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University,Faculty of Information Technology and Communication Sciences","institution_ids":["https://openalex.org/I166825849"]},{"raw_affiliation_string":"Faculty of Information Technology and Communication Sciences, Tampere University","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166825849"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9908999800682068,"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/pooling","display_name":"Pooling","score":0.8997209668159485},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7949516773223877},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7056582570075989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6418961882591248},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5949886441230774},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5071938037872314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49881505966186523},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4938381314277649},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.45328289270401},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.432498961687088},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07094278931617737}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8997209668159485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7949516773223877},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7056582570075989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6418961882591248},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5949886441230774},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5071938037872314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49881505966186523},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4938381314277649},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.45328289270401},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.432498961687088},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07094278931617737},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems 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:10.1109/mmsp53017.2021.9733617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp53017.2021.9733617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2810679507","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,89],"present":[4],"a":[5],"comprehensive":[6],"study":[7],"on":[8],"the":[9,49,68,71,78,140],"utility":[10],"of":[11,51,70,75,77,86],"deep":[12,52],"convolutional":[13,25],"neural":[14],"networks":[15],"with":[16,56,109],"two":[17,91,118],"state-of-the-art":[18],"pooling":[19],"layers":[20,26],"which":[21],"are":[22],"placed":[23],"after":[24],"and":[27,43,64,100,128],"fine-tuned":[28],"in":[29,38,73,95,112,126,133],"an":[30,113],"end-to-end":[31,114],"manner":[32,115],"for":[33,66,139],"visual":[34,141],"place":[35,96,142],"recognition":[36,143],"task":[37],"challenging":[39],"conditions,":[40],"including":[41],"seasonal":[42],"illumination":[44],"variations.":[45],"We":[46],"compared":[47],"extensively":[48],"performance":[50],"learned":[53],"global":[54],"features":[55],"three":[57],"different":[58],"loss":[59,111],"functions,":[60],"e.g.":[61],"triplet,":[62],"contrastive":[63],"ArcFace,":[65],"learning":[67],"parameters":[69],"architectures":[72,108],"terms":[74],"fraction":[76],"correct":[79],"matches":[80],"during":[81],"deployment.":[82],"To":[83],"verify":[84],"effectiveness":[85],"our":[87],"results,":[88],"utilized":[90],"real":[92],"world":[93],"datasets":[94],"recognition,":[97],"both":[98],"indoor":[99,134],"outdoor.":[101],"Our":[102],"investigation":[103],"demonstrates":[104],"that":[105],"fine":[106],"tuning":[107],"ArcFace":[110],"outperforms":[116],"other":[117],"losses":[119],"by":[120],"approximately":[121],"1":[122,129],"\u223c":[123,130],"4":[124],"%":[125,132],"outdoor":[127],"2":[131],"datasets,":[135],"given":[136],"certain":[137],"thresholds,":[138],"tasks.":[144]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}