{"id":"https://openalex.org/W4393185929","doi":"https://doi.org/10.1109/tim.2024.3381269","title":"Deep Gaussian Attention Network for Lumber Surface Defect Segmentation","display_name":"Deep Gaussian Attention Network for Lumber Surface Defect Segmentation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393185929","doi":"https://doi.org/10.1109/tim.2024.3381269"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3381269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3381269","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","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/A5103222440","display_name":"Yuming Zhong","orcid":"https://orcid.org/0009-0009-9555-5976"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Zhong","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","College of Electrical and Information Engineering, Hunan University and National Engineering Research Center of Robot Visual Perception and Control Technology, China"],"raw_orcid":"https://orcid.org/0009-0009-9555-5976","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University and National Engineering Research Center of Robot Visual Perception and Control Technology, China","institution_ids":["https://openalex.org/I4210144102","https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055621451","display_name":"Zhigang Ling","orcid":"https://orcid.org/0000-0002-4752-769X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Ling","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","College of Electrical and Information Engineering, Hunan University and National Engineering Research Center of Robot Visual Perception and Control Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-4752-769X","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University and National Engineering Research Center of Robot Visual Perception and Control Technology, China","institution_ids":["https://openalex.org/I4210144102","https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317036","display_name":"Liqun Liu","orcid":"https://orcid.org/0009-0000-3571-1169"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leixinyuan Liu","raw_affiliation_strings":["Zhuzhou CRRC Times Electric Company, Zhuzhou, China","College of Electrical and Information Engineering, Hunan University and National Engineering Research Center of Robot Visual Perception and Control Technology, China"],"raw_orcid":"https://orcid.org/0009-0000-3571-1169","affiliations":[{"raw_affiliation_string":"Zhuzhou CRRC Times Electric Company, Zhuzhou, China","institution_ids":[]},{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University and National Engineering Research Center of Robot Visual Perception and Control Technology, China","institution_ids":["https://openalex.org/I4210144102","https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075429210","display_name":"Sheng Zhang","orcid":"https://orcid.org/0009-0004-2687-8054"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Zhang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","College of Electrical and Information Engineering, Hunan University and National Engineering Research Center of Robot Visual Perception and Control Technology, China"],"raw_orcid":"https://orcid.org/0009-0004-2687-8054","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University and National Engineering Research Center of Robot Visual Perception and Control Technology, China","institution_ids":["https://openalex.org/I4210144102","https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100682305","display_name":"He Wen","orcid":"https://orcid.org/0000-0001-8024-1899"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Wen","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","College of Electrical and Information Engineering, Hunan University and National Engineering Research Center of Robot Visual Perception and Control Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-8024-1899","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University and National Engineering Research Center of Robot Visual Perception and Control Technology, China","institution_ids":["https://openalex.org/I4210144102","https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1879,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.95404778,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T13568","display_name":"Wood and Agarwood Research","score":0.9815000295639038,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9610999822616577,"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":0.522294282913208},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4767507016658783},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4589146375656128},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4432459771633148},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4142361879348755},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3849948048591614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3408973813056946},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.33898603916168213},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2082679271697998}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.522294282913208},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4767507016658783},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4589146375656128},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4432459771633148},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4142361879348755},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3849948048591614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3408973813056946},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.33898603916168213},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2082679271697998},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3381269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3381269","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G192038789","display_name":"\u878d\u5408\u534f\u540c\u5b66\u4e60\u673a\u5236\u7684\u5f31\u76d1\u7763\u4ea4\u901a\u76ee\u6807\u68c0\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971183","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3176231164","display_name":null,"funder_award_id":"2021JJ30142","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1557955428","https://openalex.org/W1901129140","https://openalex.org/W2048632148","https://openalex.org/W2059432853","https://openalex.org/W2072007842","https://openalex.org/W2073435644","https://openalex.org/W2109255472","https://openalex.org/W2121679663","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2344428106","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2474320072","https://openalex.org/W2560023338","https://openalex.org/W2590213371","https://openalex.org/W2598457882","https://openalex.org/W2605132254","https://openalex.org/W2630837129","https://openalex.org/W2768052468","https://openalex.org/W2787091153","https://openalex.org/W2892951611","https://openalex.org/W2944303778","https://openalex.org/W2955058313","https://openalex.org/W2963091558","https://openalex.org/W2963727650","https://openalex.org/W2964308596","https://openalex.org/W2966683369","https://openalex.org/W2981689412","https://openalex.org/W2990032492","https://openalex.org/W2994615081","https://openalex.org/W3018757597","https://openalex.org/W3025211569","https://openalex.org/W3100180829","https://openalex.org/W3106250896","https://openalex.org/W3120237453","https://openalex.org/W3161141656","https://openalex.org/W3165745140","https://openalex.org/W3168112135","https://openalex.org/W3169651898","https://openalex.org/W3174491732","https://openalex.org/W3203974803","https://openalex.org/W4206047620","https://openalex.org/W4226027146","https://openalex.org/W4226396876","https://openalex.org/W4285123781","https://openalex.org/W4288277460","https://openalex.org/W4289792391","https://openalex.org/W4294975836","https://openalex.org/W4296126760","https://openalex.org/W4301872509","https://openalex.org/W4312815172","https://openalex.org/W4367663339","https://openalex.org/W4385194766","https://openalex.org/W4385245566","https://openalex.org/W4386212377","https://openalex.org/W4390873025","https://openalex.org/W6633298656","https://openalex.org/W6739696289","https://openalex.org/W6739901393","https://openalex.org/W6766844300","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W4324315429","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W2113201962","https://openalex.org/W4298131179","https://openalex.org/W2799953226","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2],"been":[3],"widely":[4],"used":[5],"in":[6,27,68,121,178],"recent":[7],"years":[8],"for":[9,86,105,149,166],"surface":[10,46,88,211],"defect":[11,30,52,89,201,212],"detection":[12],"because":[13,32],"of":[14,157,208],"its":[15],"excellent":[16],"performance.":[17],"However,":[18],"current":[19],"deep-learning-based":[20],"approaches":[21],"still":[22],"remain":[23],"a":[24,79,98,128],"challenging":[25],"problem":[26],"sawn":[28,209],"lumber":[29,34,58,87,116,210],"inspection":[31],"different":[33,43,55,115],"defects":[35,59,117,158],"often":[36,53],"keep":[37],"similar":[38,120],"texture":[39],"and":[40,65,70,136,143,175,203,206],"color":[41],"since":[42,114],"growing":[44],"environment,":[45],"stains,":[47],"etc.":[48],"Meanwhile,":[49],"the":[50,102,132,145,163,171,193,199],"same":[51],"shows":[54],"characteristics.":[56],"Furthermore,":[57,125],"have":[60,77],"ambiguous":[61,200],"boundaries":[62],"or":[63],"regions,":[64],"large-scale":[66],"variations":[67],"size":[69],"shape.":[71],"To":[72],"address":[73,198],"these":[74],"problems,":[75],"we":[76,126],"developed":[78],"deep":[80],"Gaussian":[81,129],"attention":[82,95,134,138],"network":[83,92,96,195],"via":[84,97],"Deeplabv3+":[85],"segmentation.":[90,169,213],"This":[91],"introduces":[93],"an":[94],"transformer":[99],"to":[100,141,185],"capture":[101],"long-distance":[103],"dependence":[104],"global":[106,173],"information":[107,174,177],"extraction,":[108],"which":[109],"can":[110,159,196],"efficiently":[111,197],"improve":[112],"mis-segmentation":[113],"are":[118,183],"very":[119],"some":[122],"local":[123,176],"regions.":[124],"introduce":[127],"module":[130,135],"into":[131],"channel":[133],"positional":[137],"module,":[139],"respectively,":[140],"reassign":[142],"reactivate":[144],"minor":[146],"semantic":[147,168],"features":[148],"hard":[150],"example":[151],"mining":[152],"so":[153],"that":[154],"all":[155],"regions":[156,165,202],"be":[160],"activated":[161,172],"except":[162],"key":[164],"efficient":[167,187],"Finally,":[170],"astrous":[179],"spatial":[180],"pyramid":[181],"pooling(ASPP)":[182],"integrated":[184],"achieve":[186],"feature":[188],"extraction.":[189],"Experimental":[190],"results":[191],"demonstrate":[192],"proposed":[194],"irregular":[204],"sizes":[205],"shapes":[207]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
