{"id":"https://openalex.org/W4415250731","doi":"https://doi.org/10.1109/access.2025.3622419","title":"A Benchmark of Neural Networks for Semantic Segmentation of Wood Log Ends","display_name":"A Benchmark of Neural Networks for Semantic Segmentation of Wood Log Ends","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415250731","doi":"https://doi.org/10.1109/access.2025.3622419"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3622419","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3622419","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3622419","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103305776","display_name":"Dorian Martinetto","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Dorian Martinetto","raw_affiliation_strings":["CNRS, LORIA, Université de Lorraine, Nancy, France"],"affiliations":[{"raw_affiliation_string":"CNRS, LORIA, Université de Lorraine, Nancy, France","institution_ids":["https://openalex.org/I4210121838","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007045083","display_name":"Georg Wimmer","orcid":"https://orcid.org/0000-0001-5529-0154"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]},{"id":"https://openalex.org/I4210087982","display_name":"Fachhochschule Salzburg","ror":"https://ror.org/0072dxg89","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210087982"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Georg Wimmer","raw_affiliation_strings":["Department of Artificial Intelligence and Human Interfaces, University of Salzburg, Salzburg, Austria","Department of Artificial Intelligence and Human Interfaces, University of Salzburg, Jakob-Haringer-Strasse 2, Salzburg, Austria"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Human Interfaces, University of Salzburg, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]},{"raw_affiliation_string":"Department of Artificial Intelligence and Human Interfaces, University of Salzburg, Jakob-Haringer-Strasse 2, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641","https://openalex.org/I4210087982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016001919","display_name":"Phuc Ngo","orcid":"https://orcid.org/0000-0002-7423-5932"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Phuc Ngo","raw_affiliation_strings":["CNRS, LORIA, Université de Lorraine, Nancy, France"],"affiliations":[{"raw_affiliation_string":"CNRS, LORIA, Université de Lorraine, Nancy, France","institution_ids":["https://openalex.org/I4210121838","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104116288","display_name":"Fr\u00e9d\u00e9ric Mothe","orcid":null},"institutions":[{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210088668","display_name":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement","ror":"https://ror.org/003vg9w96","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210088668"]},{"id":"https://openalex.org/I4210104468","display_name":"Silva","ror":"https://ror.org/01d5v2p67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954","https://openalex.org/I4210088668","https://openalex.org/I4210102465","https://openalex.org/I4210104468","https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Mothe","raw_affiliation_strings":["AgroParisTech, INRAE, Université de Lorraine, Nancy, France","Université de Lorraine, AgroParisTech, INRAE, Silva, Nancy, France"],"affiliations":[{"raw_affiliation_string":"AgroParisTech, INRAE, Université de Lorraine, Nancy, France","institution_ids":["https://openalex.org/I22248866","https://openalex.org/I4210088668"]},{"raw_affiliation_string":"Université de Lorraine, AgroParisTech, INRAE, Silva, Nancy, France","institution_ids":["https://openalex.org/I22248866","https://openalex.org/I4210088668","https://openalex.org/I4210104468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052343767","display_name":"Alexandre Piboule","orcid":"https://orcid.org/0000-0003-4726-5455"},"institutions":[{"id":"https://openalex.org/I2799978770","display_name":"X-Fab (Germany)","ror":"https://ror.org/030bh9196","country_code":"DE","type":"company","lineage":["https://openalex.org/I2799978770"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexandre Piboule","raw_affiliation_strings":["Office National des Forêts, Pôle Recherche, Développement et Innovation, Villers-lés-Nancy, France","Office National des Forêts, Pôle Recherche, Développement et Innovation, Villers-lès-Nancy, France"],"affiliations":[{"raw_affiliation_string":"Office National des Forêts, Pôle Recherche, Développement et Innovation, Villers-lés-Nancy, France","institution_ids":["https://openalex.org/I2799978770"]},{"raw_affiliation_string":"Office National des Forêts, Pôle Recherche, Développement et Innovation, Villers-lès-Nancy, France","institution_ids":["https://openalex.org/I2799978770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062946437","display_name":"Andreas Uhl","orcid":"https://orcid.org/0000-0002-5921-8755"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]},{"id":"https://openalex.org/I4210087982","display_name":"Fachhochschule Salzburg","ror":"https://ror.org/0072dxg89","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210087982"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Andreas Uhl","raw_affiliation_strings":["Department of Artificial Intelligence and Human Interfaces, University of Salzburg, Salzburg, Austria","Department of Artificial Intelligence and Human Interfaces, University of Salzburg, Jakob-Haringer-Strasse 2, Salzburg, Austria"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Human Interfaces, University of Salzburg, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]},{"raw_affiliation_string":"Department of Artificial Intelligence and Human Interfaces, University of Salzburg, Jakob-Haringer-Strasse 2, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641","https://openalex.org/I4210087982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041978666","display_name":"Isabelle Debled-Rennesson","orcid":"https://orcid.org/0000-0001-5118-7440"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Isabelle Debled-Rennesson","raw_affiliation_strings":["CNRS, LORIA, Université de Lorraine, Nancy, France"],"affiliations":[{"raw_affiliation_string":"CNRS, LORIA, Université de Lorraine, Nancy, France","institution_ids":["https://openalex.org/I4210121838","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003261972","display_name":"Fleur Longuetaud","orcid":"https://orcid.org/0000-0002-6570-2746"},"institutions":[{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210088668","display_name":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement","ror":"https://ror.org/003vg9w96","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210088668"]},{"id":"https://openalex.org/I4210104468","display_name":"Silva","ror":"https://ror.org/01d5v2p67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954","https://openalex.org/I4210088668","https://openalex.org/I4210102465","https://openalex.org/I4210104468","https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fleur Longuetaud","raw_affiliation_strings":["AgroParisTech, INRAE, Université de Lorraine, Nancy, France","Université de Lorraine, AgroParisTech, INRAE, Silva, Nancy, France"],"affiliations":[{"raw_affiliation_string":"AgroParisTech, INRAE, Université de Lorraine, Nancy, France","institution_ids":["https://openalex.org/I22248866","https://openalex.org/I4210088668"]},{"raw_affiliation_string":"Université de Lorraine, AgroParisTech, INRAE, Silva, Nancy, France","institution_ids":["https://openalex.org/I22248866","https://openalex.org/I4210088668","https://openalex.org/I4210104468"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5103305776"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210121838"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.59,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84628371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"180344","last_page":"180354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9904999732971191,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9904999732971191,"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"}},{"id":"https://openalex.org/T13568","display_name":"Wood and Agarwood Research","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/segmentation","display_name":"Segmentation","score":0.7806000113487244},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5893999934196472},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5680000185966492},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5619000196456909},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5087000131607056},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48339998722076416},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44339999556541443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7824000120162964},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7806000113487244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7437999844551086},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5893999934196472},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5680000185966492},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5619000196456909},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5087000131607056},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48339998722076416},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44339999556541443},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4429999887943268},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.40389999747276306},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.37549999356269836},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.37049999833106995},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3605000078678131},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.28999999165534973},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2797999978065491}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2025.3622419","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3622419","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04644460v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04644460","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, 2025, 13, pp.180344 -- 180354. ⟨10.1109/ACCESS.2025.3622419⟩","raw_type":"Journal articles"},{"id":"pmh:oai:doaj.org/article:9b147c3b74d14a4b80e5af4939114dcd","is_oa":true,"landing_page_url":"https://doaj.org/article/9b147c3b74d14a4b80e5af4939114dcd","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":"IEEE Access, Vol 13, Pp 180344-180354 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3622419","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3622419","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Neural":[0,89],"networks":[1],"have":[2,227],"achieved":[3],"significant":[4],"performance":[5],"in":[6,26,33,60,74,100,197,216,235],"image":[7,62],"segmentation":[8,71,97,199],"tasks.":[9],"This":[10,67,201],"paper":[11],"describes":[12],"a":[13,35,38,194,239],"benchmark":[14],"of":[15,23,37,45,58,69,112,128,133,175,180,208,222,242],"deep":[16],"learning-based":[17],"methods":[18],"for":[19,96,186],"segmenting":[20,34],"log":[21,39,57,80,83,182],"ends":[22,183],"several":[24],"species":[25,196,211],"images.":[27],"More":[28],"precisely,":[29],"we":[30],"are":[31],"interested":[32],"cross-section":[36,246],"positioned":[40],"approximately":[41],"at":[42],"the":[43,46,56,61,116,134,150,157,220,223,236],"centre":[44],"image.":[47,129],"Other":[48],"logs":[49],"that":[50],"may":[51],"be":[52,65],"present":[53],"next":[54],"to":[55,155,166,218,230],"interest":[59],"should":[63],"not":[64],"segmented.":[66],"task":[68],"semantic":[70],"is":[72,193,250],"essential":[73],"various":[75],"applications,":[76],"such":[77,138],"as":[78,139],"biometric":[79],"tracking":[81],"and":[82,92,109,145,189,214,238,245],"quality":[84],"assessment.":[85],"Different":[86],"state-of-the-art":[87],"Convolutional":[88],"Networks":[90],"(CNNs)":[91],"Vision":[93],"Transformers":[94],"(ViTs)":[95],"were":[98,147],"tested":[99,124],"this":[101,126,187],"paper,":[102],"including":[103],"Mask":[104],"R-CNN,":[105],"U-Net,":[106],"PointRend,":[107],"YOLOv11":[108,162],"OneFormer.":[110],"Some":[111],"these,":[113],"being":[114],"among":[115],"most":[117,158],"recent":[118],"architectures,":[119],"had":[120],"never":[121],"before":[122],"been":[123,228],"on":[125],"type":[127],"To":[130],"compare":[131],"efficiency":[132],"networks,":[135],"well-known":[136],"metrics":[137],"Precision,":[140],"Recall,":[141],"Accuracy,":[142],"Dice,":[143],"IoU":[144],"MCC":[146],"used.":[148],"From":[149],"experiment":[151],"results,":[152],"PointRend":[153],"found":[154],"produce":[156],"accurate":[159],"segmentations,":[160],"while":[161],"was":[163,184,203],"better":[164],"suited":[165],"real-time":[167],"processing.":[168],"In":[169],"addition,":[170],"an":[171],"original":[172],"dataset":[173,202],"consisting":[174],"1345":[176],"manually":[177],"segmented":[178],"images":[179,207,226],"oak":[181],"created":[185],"study":[188],"made":[190],"available.":[191],"Oak":[192],"new":[195],"these":[198],"approaches.":[200],"supplemented":[204],"with":[205],"855":[206],"two":[209],"softwood":[210],"(Douglas":[212],"fir":[213],"spruce)":[215],"order":[217],"increase":[219],"genericity":[221],"models.":[224],"The":[225,248],"selected":[229],"represent":[231],"real":[232],"situations":[233],"encountered":[234],"field":[237],"wide":[240],"variety":[241],"acquisition":[243],"conditions":[244],"appearance.":[247],"code":[249],"available":[251],"here":[252],":":[253],"https://github.com/Braquemarok/Log_segmentation_benchmark.git.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-16T00:00:00"}