{"id":"https://openalex.org/W4290964321","doi":"https://doi.org/10.1080/01691864.2022.2109427","title":"Multi-source pseudo-label learning of semantic segmentation for the scene recognition of agricultural mobile robots","display_name":"Multi-source pseudo-label learning of semantic segmentation for the scene recognition of agricultural mobile robots","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4290964321","doi":"https://doi.org/10.1080/01691864.2022.2109427"},"language":"en","primary_location":{"id":"doi:10.1080/01691864.2022.2109427","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01691864.2022.2109427","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-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/A5031827214","display_name":"Shigemichi Matsuzaki","orcid":"https://orcid.org/0000-0002-4795-6005"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shigemichi Matsuzaki","raw_affiliation_strings":["Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan"],"raw_orcid":"https://orcid.org/0000-0002-4795-6005","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071725508","display_name":"Jun Miura","orcid":"https://orcid.org/0000-0003-0153-2570"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Miura","raw_affiliation_strings":["Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055946696","display_name":"Hiroaki Masuzawa","orcid":"https://orcid.org/0000-0002-4838-9516"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroaki Masuzawa","raw_affiliation_strings":["Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan"],"raw_orcid":"https://orcid.org/0000-0002-4838-9516","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan","institution_ids":["https://openalex.org/I136259955"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031827214"],"corresponding_institution_ids":["https://openalex.org/I136259955"],"apc_list":null,"apc_paid":null,"fwci":1.0204,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77105484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"36","issue":"19","first_page":"1011","last_page":"1029"},"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":0.9977999925613403,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9969000220298767,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6812887787818909},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6671377420425415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6352867484092712},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6280004382133484},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5476655960083008},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5382937788963318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4327089190483093},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.4205835461616516},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.144361674785614}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6812887787818909},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6671377420425415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6352867484092712},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6280004382133484},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5476655960083008},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5382937788963318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4327089190483093},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.4205835461616516},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.144361674785614},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01691864.2022.2109427","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01691864.2022.2109427","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W345900524","https://openalex.org/W1484228140","https://openalex.org/W1903029394","https://openalex.org/W1978330412","https://openalex.org/W1999478155","https://openalex.org/W2080848468","https://openalex.org/W2171943915","https://openalex.org/W2172174906","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2419448466","https://openalex.org/W2431874326","https://openalex.org/W2487365028","https://openalex.org/W2560023338","https://openalex.org/W2600777408","https://openalex.org/W2756202949","https://openalex.org/W2762439315","https://openalex.org/W2767657961","https://openalex.org/W2798542376","https://openalex.org/W2799785415","https://openalex.org/W2895281799","https://openalex.org/W2962687275","https://openalex.org/W2962772649","https://openalex.org/W2963052201","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2963418739","https://openalex.org/W2963506806","https://openalex.org/W2963881378","https://openalex.org/W2965879595","https://openalex.org/W2971188154","https://openalex.org/W2985406498","https://openalex.org/W2995059005","https://openalex.org/W2998715604","https://openalex.org/W3006729188","https://openalex.org/W3034247804","https://openalex.org/W3039883906","https://openalex.org/W3081886322","https://openalex.org/W3119635706","https://openalex.org/W3175294391","https://openalex.org/W3180402296","https://openalex.org/W4206468228","https://openalex.org/W4302089114"],"related_works":["https://openalex.org/W2355956201","https://openalex.org/W2386195957","https://openalex.org/W2327874825","https://openalex.org/W2351852648","https://openalex.org/W2613051533","https://openalex.org/W2349774843","https://openalex.org/W2775541961","https://openalex.org/W2267286817","https://openalex.org/W2122871747","https://openalex.org/W3114279067"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,8,53,57,63,83,87,146,188],"novel":[4],"method":[5,84,132,182],"of":[6,15,122,153,167],"training":[7,152],"semantic":[9,88,154],"segmentation":[10,33,89,105,155],"model":[11,90],"for":[12,43,55,75,91,115,134],"scene":[13],"recognition":[14],"agricultural":[16],"mobile":[17],"robots":[18],"exploiting":[19],"multiple":[20,95,140],"publicly":[21,96],"available":[22,74,97],"datasets":[23,98],"that":[24,179],"are":[25],"different":[26],"from":[27,139],"the":[28,68,116,124,137,165,170,175],"target":[29,69,117],"greenhouse":[30,76,92],"environments.":[31],"Semantic":[32],"models":[34,106,126],"require":[35],"abundant":[36],"labels":[37],"given":[38],"by":[39],"tedious":[40],"manual":[41],"annotation":[42],"training.":[44],"Although":[45],"unsupervised":[46],"domain":[47],"adaptation":[48],"(UDA)":[49],"is":[50,72],"studied":[51],"as":[52],"workaround":[54],"such":[56],"problem,":[58],"existing":[59,160,184],"UDA":[60,185],"methods":[61,162,186],"assume":[62],"source":[64,110],"dataset":[65,111,148],"similar":[66],"to":[67,85,101,112,163,172],"dataset,":[70],"which":[71],"not":[73,99],"scenes.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81],"propose":[82],"train":[86],"images":[93,118],"leveraging":[94],"dedicated":[100],"greenhouses.":[102],"We":[103,157,177],"exploit":[104],"pre-trained":[107,125],"on":[108,120,127,145],"each":[109,128],"generate":[113],"pseudo-labels":[114,171],"based":[119],"agreement":[121],"all":[123],"pixel.":[129],"The":[130],"proposed":[131,181],"allows":[133],"effectively":[135],"transferring":[136],"knowledge":[138],"sources":[141],"rather":[142],"than":[143],"relying":[144],"single":[147],"and":[149,187],"realizes":[150],"precise":[151],"model.":[156],"also":[158],"introduce":[159],"state-of-the-art":[161],"suppress":[164],"effect":[166],"noise":[168],"in":[169],"further":[173],"improve":[174],"performance.":[176],"demonstrate":[178],"our":[180],"outperforms":[183],"supervised":[189],"SVM-based":[190],"method.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
