{"id":"https://openalex.org/W4390754671","doi":"https://doi.org/10.1109/tie.2023.3344837","title":"Spatial-Wise Dynamic Distillation for MLP-Like Efficient Visual Fault Detection of Freight Trains","display_name":"Spatial-Wise Dynamic Distillation for MLP-Like Efficient Visual Fault Detection of Freight Trains","publication_year":2024,"publication_date":"2024-01-11","ids":{"openalex":"https://openalex.org/W4390754671","doi":"https://doi.org/10.1109/tie.2023.3344837"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2023.3344837","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tie.2023.3344837","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","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/A5100354683","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0002-4170-4798"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Hubei University of Technology, Wuhan, China","National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4170-4798","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008249097","display_name":"Huilin Pan","orcid":"https://orcid.org/0000-0002-3997-4246"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Huilin Pan","raw_affiliation_strings":["School of Mechanical Engineering, Hubei University of Technology, Wuhan, China","Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-3997-4246","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051634278","display_name":"Mingying Li","orcid":"https://orcid.org/0009-0002-2926-6227"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingying Li","raw_affiliation_strings":["School of Mechanical Engineering, Hubei University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0002-2926-6227","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419954","display_name":"An Wang","orcid":"https://orcid.org/0000-0001-5515-0653"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"An Wang","raw_affiliation_strings":["Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-5515-0653","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060735530","display_name":"Zhou Yang","orcid":"https://orcid.org/0000-0002-2575-2757"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhou","raw_affiliation_strings":["School of Mechanical Engineering, Hubei University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2575-2757","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032340829","display_name":"Hongliang Ren","orcid":"https://orcid.org/0000-0002-6488-1551"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hongliang Ren","raw_affiliation_strings":["Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-6488-1551","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4599,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57811146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"71","issue":"10","first_page":"13168","last_page":"13177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9958000183105469,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9847999811172485,"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/computer-science","display_name":"Computer science","score":0.7732223868370056},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.7253342866897583},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.68015456199646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5583970546722412},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5119810700416565},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47390949726104736},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4509737193584442},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.44806140661239624},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43624675273895264},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4288847744464874},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.42474985122680664},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3895476758480072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7732223868370056},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.7253342866897583},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.68015456199646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5583970546722412},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5119810700416565},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47390949726104736},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4509737193584442},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.44806140661239624},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43624675273895264},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4288847744464874},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.42474985122680664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3895476758480072},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2023.3344837","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tie.2023.3344837","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G485653872","display_name":null,"funder_award_id":"KFKT2022B38","funder_id":"https://openalex.org/F4320326895","funder_display_name":"State Key Laboratory of Novel Software Technology"},{"id":"https://openalex.org/G7827376556","display_name":null,"funder_award_id":"XJ2021003801","funder_id":"https://openalex.org/F4320321604","funder_display_name":"Hubei University of Technology"}],"funders":[{"id":"https://openalex.org/F4320321604","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342"},{"id":"https://openalex.org/F4320326895","display_name":"State Key Laboratory of Novel Software Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2108598243","https://openalex.org/W2191848209","https://openalex.org/W2194775991","https://openalex.org/W2803409495","https://openalex.org/W2883780447","https://openalex.org/W2884561390","https://openalex.org/W2915318524","https://openalex.org/W2982083293","https://openalex.org/W2982770724","https://openalex.org/W3035985016","https://openalex.org/W3096609285","https://openalex.org/W3110239216","https://openalex.org/W3127075416","https://openalex.org/W3128247733","https://openalex.org/W3138516171","https://openalex.org/W3163465952","https://openalex.org/W3172087149","https://openalex.org/W3172752666","https://openalex.org/W3177196641","https://openalex.org/W3179888767","https://openalex.org/W3184439416","https://openalex.org/W3194287972","https://openalex.org/W3194662152","https://openalex.org/W3199782544","https://openalex.org/W4214524539","https://openalex.org/W4225729296","https://openalex.org/W4226297238","https://openalex.org/W4226363321","https://openalex.org/W4312539795","https://openalex.org/W4312980183","https://openalex.org/W4313119505","https://openalex.org/W4385245566","https://openalex.org/W6760424586","https://openalex.org/W6779586474","https://openalex.org/W6784094891","https://openalex.org/W6795140394","https://openalex.org/W6798838024","https://openalex.org/W6799423381"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W803346624"],"abstract_inverted_index":{"Despite":[0],"the":[1,44,87,93,98,130,134,155,166,174,186,202,208],"successful":[2],"application":[3],"of":[4,33,46,58,81,100],"convolutional":[5],"neural":[6],"networks":[7],"(CNNs)":[8],"in":[9,15,26,39,51],"object":[10],"detection":[11,80,213],"tasks,":[12],"their":[13],"efficiency":[14],"detecting":[16],"faults":[17],"from":[18,144],"freight":[19,59,82],"train":[20,180],"images":[21],"remains":[22],"inadequate":[23],"for":[24,54,77],"implementation":[25],"real-world":[27],"engineering":[28],"scenarios.":[29],"Existing":[30],"modeling":[31],"shortcomings":[32],"spatial":[34,101,168],"invariance":[35,102],"and":[36,103,108,149,169,206],"pooling":[37],"layers":[38],"conventional":[40],"CNNs":[41],"often":[42],"ignore":[43],"neglect":[45],"crucial":[47],"global":[48,109,167],"information,":[49],"resulting":[50],"error":[52],"localization":[53],"fault":[55,79,195],"objection":[56],"tasks":[57],"trains.":[60,83],"To":[61],"solve":[62],"these":[63],"problems,":[64],"we":[65],"design":[66],"a":[67,113,118,122,215],"spatial-wise":[68],"dynamic":[69,114,123,176],"distillation":[70,115,187],"framework":[71],"based":[72],"on":[73,192],"multilayer":[74],"perceptron":[75],"(MLP)":[76],"visual":[78],"We":[84,111],"initially":[85],"present":[86],"axial":[88],"shift":[89],"strategy,":[90],"which":[91,159],"allows":[92],"MLP-like":[94],"architecture":[95],"to":[96,164,183],"overcome":[97],"challenge":[99],"effectively":[104,128],"incorporate":[105],"both":[106],"local":[107],"cues.":[110],"propose":[112],"method":[116],"without":[117],"pretraining":[119],"teacher,":[120],"including":[121],"teacher":[124,177],"mechanism":[125],"that":[126,198],"can":[127,178],"eliminate":[129],"semantic":[131,170],"discrepancy":[132],"with":[133,181,211],"student":[135],"model.":[136],"Such":[137],"an":[138],"approach":[139,200],"mines":[140],"more":[141],"abundant":[142],"details":[143],"lower":[145,216],"level":[146,151],"feature":[147],"appearances":[148],"higher":[150],"label":[152],"semantics":[153],"as":[154],"extra":[156],"supervision":[157],"signal,":[158],"utilizes":[160],"efficient":[161],"instance":[162],"embedding":[163],"model":[165],"information.":[171],"In":[172],"addition,":[173],"proposed":[175],"jointly":[179],"students":[182],"further":[184],"enhance":[185],"efficiency.":[188],"Extensive":[189],"experiments":[190],"executed":[191],"six":[193],"typical":[194],"datasets":[196],"reveal":[197],"our":[199],"outperforms":[201],"current":[203],"state-of-the-art":[204],"detectors":[205],"achieves":[207],"highest":[209],"accuracy":[210],"real-time":[212],"at":[214],"computational":[217],"cost.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}