{"id":"https://openalex.org/W4383104767","doi":"https://doi.org/10.3390/info14070380","title":"Enabling Multi-Part Plant Segmentation with Instance-Level Augmentation Using Weak Annotations","display_name":"Enabling Multi-Part Plant Segmentation with Instance-Level Augmentation Using Weak Annotations","publication_year":2023,"publication_date":"2023-07-03","ids":{"openalex":"https://openalex.org/W4383104767","doi":"https://doi.org/10.3390/info14070380"},"language":"en","primary_location":{"id":"doi:10.3390/info14070380","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info14070380","pdf_url":"https://www.mdpi.com/2078-2489/14/7/380/pdf?version=1688432623","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/14/7/380/pdf?version=1688432623","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045651210","display_name":"Semen Mukhamadiev","orcid":null},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Semen Mukhamadiev","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, 121205 Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, 121205 Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007982964","display_name":"Sergey Nesteruk","orcid":"https://orcid.org/0000-0002-9740-6685"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergey Nesteruk","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, 121205 Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, 121205 Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048027930","display_name":"Svetlana Illarionova","orcid":"https://orcid.org/0000-0003-2448-9907"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Svetlana Illarionova","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, 121205 Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, 121205 Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084140816","display_name":"Andrey Somov","orcid":"https://orcid.org/0000-0002-4615-3008"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Andrey Somov","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, 121205 Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, 121205 Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084140816"],"corresponding_institution_ids":["https://openalex.org/I125989756"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":3.1621,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.9127326,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"14","issue":"7","first_page":"380","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9952999949455261,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8239614367485046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7700872421264648},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7224361896514893},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6671648025512695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6534446477890015},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6114469766616821},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.603632926940918},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5339561700820923},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.523494303226471},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.511576235294342},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4649089276790619},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.46395912766456604},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4126235246658325},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37689679861068726},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32666337490081787},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13369131088256836},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06975704431533813}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8239614367485046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7700872421264648},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7224361896514893},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6671648025512695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6534446477890015},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6114469766616821},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.603632926940918},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5339561700820923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.523494303226471},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.511576235294342},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4649089276790619},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.46395912766456604},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4126235246658325},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37689679861068726},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32666337490081787},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13369131088256836},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06975704431533813},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/info14070380","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info14070380","pdf_url":"https://www.mdpi.com/2078-2489/14/7/380/pdf?version=1688432623","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b2a7fd8a3de04131bb341c3661075201","is_oa":true,"landing_page_url":"https://doaj.org/article/b2a7fd8a3de04131bb341c3661075201","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 14, Iss 7, p 380 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/14/7/380/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/info14070380","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information; Volume 14; Issue 7; Pages: 380","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info14070380","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info14070380","pdf_url":"https://www.mdpi.com/2078-2489/14/7/380/pdf?version=1688432623","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4383104767.pdf"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W2003572185","https://openalex.org/W2295107390","https://openalex.org/W2552414813","https://openalex.org/W2795899404","https://openalex.org/W2928716465","https://openalex.org/W2954996726","https://openalex.org/W2955639361","https://openalex.org/W2962749812","https://openalex.org/W3008115128","https://openalex.org/W3034930876","https://openalex.org/W3046541806","https://openalex.org/W3081167590","https://openalex.org/W3092599355","https://openalex.org/W3103114094","https://openalex.org/W3118794675","https://openalex.org/W3158157755","https://openalex.org/W3159481202","https://openalex.org/W3164012963","https://openalex.org/W3164772195","https://openalex.org/W3169761117","https://openalex.org/W3170128766","https://openalex.org/W3172742367","https://openalex.org/W3175456851","https://openalex.org/W3176659256","https://openalex.org/W3177958285","https://openalex.org/W3182503806","https://openalex.org/W3183732083","https://openalex.org/W3190500189","https://openalex.org/W3203036314","https://openalex.org/W3205930030","https://openalex.org/W3209773779","https://openalex.org/W3215556483","https://openalex.org/W4205682586","https://openalex.org/W4206998227","https://openalex.org/W4213048192","https://openalex.org/W4214530221","https://openalex.org/W4221001881","https://openalex.org/W4221161778","https://openalex.org/W4221166146","https://openalex.org/W4226247773","https://openalex.org/W4229020582","https://openalex.org/W4229445738","https://openalex.org/W4281986597","https://openalex.org/W4283761305","https://openalex.org/W4287882763","https://openalex.org/W4308234195","https://openalex.org/W4309717531","https://openalex.org/W4312647976","https://openalex.org/W4313150877","https://openalex.org/W4320855504","https://openalex.org/W4365146704","https://openalex.org/W4367624768","https://openalex.org/W4386066138","https://openalex.org/W4390874575","https://openalex.org/W6839990677","https://openalex.org/W6850078109"],"related_works":["https://openalex.org/W4300812085","https://openalex.org/W4237171675","https://openalex.org/W2949303564","https://openalex.org/W2776054962","https://openalex.org/W3036286480","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W4287027631","https://openalex.org/W4287728368","https://openalex.org/W3039174484"],"abstract_inverted_index":{"Plant":[0],"segmentation":[1,41,83,157,201],"is":[2,42,49,77,110,152],"a":[3,80,155,181,194],"challenging":[4],"computer":[5],"vision":[6],"task":[7],"due":[8],"to":[9,19,27,54,68,78,112,143,153,171],"plant":[10,29,81,127,136,200],"images":[11,167],"complexity.":[12],"For":[13],"many":[14],"practical":[15],"problems,":[16],"we":[17,66,139],"have":[18],"solve":[20],"even":[21],"more":[22],"difficult":[23],"tasks.":[24,202],"We":[25,93],"need":[26],"distinguish":[28],"parts":[30,61],"rather":[31],"than":[32],"the":[33,43,59,95,120,126,134,188,198],"whole":[34,135,199],"plant.":[35],"The":[36,75,147],"major":[37],"complication":[38],"of":[39,45,90,149],"multi-part":[40],"absence":[44],"well-annotated":[46],"datasets.":[47],"It":[48,109],"very":[50],"time-consuming":[51],"and":[52,101,130,159,168,193],"expensive":[53],"annotate":[55],"datasets":[56],"manually":[57],"on":[58,190,197],"object":[60,115,191],"level.":[62],"In":[63],"this":[64,150],"article,":[65],"propose":[67,102],"use":[69,160],"weakly":[70,97],"supervised":[71,98],"learning":[72,99],"for":[73,106,125,133,162],"pseudo-annotation.":[74],"goal":[76],"train":[79],"part":[82,128,192],"model":[84,145,175],"using":[85],"only":[86],"bounding":[87],"boxes":[88],"instead":[89],"fine-grained":[91],"masks.":[92],"review":[94],"existing":[96],"approaches":[100],"an":[103],"efficient":[104],"pipeline":[105,118],"agricultural":[107],"domains.":[108],"designed":[111],"resolve":[113],"tight":[114],"overlappings.":[116],"Our":[117],"beats":[119],"baseline":[121,189],"solution":[122],"by":[123,131],"23%":[124],"case":[129],"40%":[132],"case.":[137],"Furthermore,":[138],"apply":[140],"instance-level":[141],"augmentation":[142],"boost":[144],"performance.":[146],"idea":[148],"approach":[151],"obtain":[154],"weak":[156],"mask":[158],"it":[161],"cropping":[163],"objects":[164],"from":[165],"original":[166],"pasting":[169],"them":[170],"new":[172],"backgrounds":[173],"during":[174],"training.":[176],"This":[177],"method":[178],"provides":[179],"us":[180],"55%":[182],"increase":[183,196],"in":[184],"mAP":[185],"compared":[186],"with":[187],"72%":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}