{"id":"https://openalex.org/W4395056630","doi":"https://doi.org/10.1109/tii.2024.3383513","title":"MFANet: Multifeature Aggregation Network for Cross-Granularity Few-Shot Seamless Steel Tubes Surface Defect Segmentation","display_name":"MFANet: Multifeature Aggregation Network for Cross-Granularity Few-Shot Seamless Steel Tubes Surface Defect Segmentation","publication_year":2024,"publication_date":"2024-04-23","ids":{"openalex":"https://openalex.org/W4395056630","doi":"https://doi.org/10.1109/tii.2024.3383513"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2024.3383513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3383513","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5010927997","display_name":"Kechen Song","orcid":"https://orcid.org/0000-0002-7636-3460"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kechen Song","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China","Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, and National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-7636-3460","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, and National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014340388","display_name":"Hu Feng","orcid":"https://orcid.org/0000-0003-3667-9169"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Feng","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China","Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, and National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-3667-9169","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, and National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056336057","display_name":"Thanh-Khiet Cao","orcid":"https://orcid.org/0000-0002-0702-9848"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tonglei Cao","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China","Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, and National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-0702-9848","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, and National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029809100","display_name":"Wenqi Cui","orcid":"https://orcid.org/0000-0002-1295-4392"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Cui","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China","Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, and National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-1295-4392","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, and National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043667109","display_name":"Yunhui Yan","orcid":"https://orcid.org/0000-0001-7121-2367"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhui Yan","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China","Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, and National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-7121-2367","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, and National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":14.1622,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.99355339,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"20","issue":"7","first_page":"9725","last_page":"9735"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/shot","display_name":"Shot (pellet)","score":0.7500081062316895},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.7342317700386047},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.616386890411377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5327121615409851},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.43108266592025757},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42286932468414307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3986743688583374},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3771068751811981},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.07479575276374817}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7500081062316895},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.7342317700386047},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.616386890411377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5327121615409851},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.43108266592025757},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42286932468414307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3986743688583374},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3771068751811981},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.07479575276374817},{"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/tii.2024.3383513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3383513","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G2311391187","display_name":null,"funder_award_id":"B16009","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G6235082000","display_name":null,"funder_award_id":"51805078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1971599363","https://openalex.org/W2078087367","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2804847616","https://openalex.org/W2948982773","https://openalex.org/W2963078159","https://openalex.org/W2963091558","https://openalex.org/W2963341924","https://openalex.org/W2963599420","https://openalex.org/W2963943197","https://openalex.org/W2994615081","https://openalex.org/W3033502887","https://openalex.org/W3035143213","https://openalex.org/W3037921770","https://openalex.org/W3047258141","https://openalex.org/W3102571413","https://openalex.org/W3106583357","https://openalex.org/W3113270537","https://openalex.org/W3164289800","https://openalex.org/W3167559252","https://openalex.org/W3177431918","https://openalex.org/W3213997984","https://openalex.org/W4206551889","https://openalex.org/W4214608919","https://openalex.org/W4226300953","https://openalex.org/W4285216485","https://openalex.org/W4289241454","https://openalex.org/W4289752563","https://openalex.org/W4292672491","https://openalex.org/W4312771861","https://openalex.org/W4312951523","https://openalex.org/W4313327864","https://openalex.org/W4313413180","https://openalex.org/W4315434857","https://openalex.org/W4317038476","https://openalex.org/W4318764497","https://openalex.org/W4321380746","https://openalex.org/W4361205205","https://openalex.org/W4386245957","https://openalex.org/W6637373629","https://openalex.org/W6717697761","https://openalex.org/W6736057607","https://openalex.org/W6743661861","https://openalex.org/W6767151586"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2975817033","https://openalex.org/W4382701072","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Defect":[0],"segmentation":[1,44,51,67,82,122],"on":[2,84,172],"the":[3,22,34,48,80,85,109,117],"inner":[4,138],"surface":[5,139,152],"of":[6,26,29,36,100,104,120,134,137,149],"seamless":[7],"steel":[8],"tubes":[9],"(SSTs)":[10],"is":[11,73,106],"a":[12,64,127],"crucial":[13],"technical":[14],"means":[15],"for":[16],"evaluating":[17],"product":[18],"quality.":[19],"However,":[20],"both":[21],"category":[23],"and":[24,40,57,90,146,168],"quantity":[25],"defective":[27,98],"samples":[28,99,154],"SSTs":[30,142],"are":[31],"sparse,":[32],"limiting":[33],"generalization":[35],"traditional":[37],"supervised":[38],"learning":[39],"general":[41,150],"few-shot":[42],"defect":[43,66,81,88,121,153],"(FSDS)":[45],"methodologies.":[46],"Moreover,":[47],"existing":[49],"fine-grained":[50,96,144],"method":[52],"results":[53,162],"in":[54,123,141],"an":[55],"arduous":[56],"time-consuming":[58],"dataset-building":[59],"process.":[60],"Motivated":[61],"by":[62,108],"this,":[63],"novel":[65],"paradigm":[68,76],"called":[69,130],"cross-granularity":[70,128],"FSDS":[71,166],"(CG-FSDS)":[72],"proposed.":[74],"This":[75],"aims":[77],"to":[78,94,164],"learn":[79],"capability":[83],"coarse-grained":[86,156],"labeled":[87,97],"dataset":[89],"subsequently":[91],"generalize":[92],"it":[93],"segment":[95],"SSTs.":[101],"The":[102],"feasibility":[103],"CG-FSDS":[105],"evaluated":[107],"proposed":[110],"multifeature":[111],"aggregation":[112],"network":[113],"(MFANet).":[114],"To":[115],"address":[116],"real":[118],"challenge":[119],"SSTs,":[124],"we":[125],"establish":[126],"benchmark":[129],"CGFSDS-9,":[131],"which":[132],"consists":[133],"six":[135],"categories":[136,148],"defects":[140],"with":[143,155],"annotation":[145],"three":[147],"metal":[151],"annotation.":[157],"Our":[158],"MFANet":[159],"achieves":[160],"superior":[161],"compared":[163],"other":[165],"methods":[167],"showcases":[169],"state-of-the-art":[170],"performance":[171],"this":[173],"benchmark.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":43},{"year":2024,"cited_by_count":7}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
