{"id":"https://openalex.org/W4399418841","doi":"https://doi.org/10.1145/3652583.3658091","title":"A Lightweight Surface Defect Segmentation Network with External Semantics and High-frequency Information","display_name":"A Lightweight Surface Defect Segmentation Network with External Semantics and High-frequency Information","publication_year":2024,"publication_date":"2024-05-30","ids":{"openalex":"https://openalex.org/W4399418841","doi":"https://doi.org/10.1145/3652583.3658091"},"language":"en","primary_location":{"id":"doi:10.1145/3652583.3658091","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658091","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658091","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658091","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103190174","display_name":"Tianpeng Zhang","orcid":"https://orcid.org/0009-0002-3979-1025"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianpeng Zhang","raw_affiliation_strings":["Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences) & Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0009-0002-3979-1025","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences) & Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045512797","display_name":"Xuesong Jiang","orcid":"https://orcid.org/0000-0002-9339-8745"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Jiang","raw_affiliation_strings":["Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences) & Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-9339-8745","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences) & Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103190174"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"],"apc_list":null,"apc_paid":null,"fwci":0.6661,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71571137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"414","last_page":"422"},"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":0.9983999729156494,"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":0.9983999729156494,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9922000169754028,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9889000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.819918155670166},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.7047324180603027},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7039085626602173},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.582341194152832},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5227774977684021},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4935652017593384},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4617476761341095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45115458965301514},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39214926958084106},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3530181646347046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.819918155670166},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7047324180603027},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7039085626602173},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.582341194152832},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5227774977684021},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4935652017593384},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4617476761341095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45115458965301514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39214926958084106},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3530181646347046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652583.3658091","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658091","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658091","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3652583.3658091","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658091","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658091","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399418841.pdf","grobid_xml":"https://content.openalex.org/works/W4399418841.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2511065100","https://openalex.org/W2560023338","https://openalex.org/W2624531441","https://openalex.org/W2752782242","https://openalex.org/W2763316552","https://openalex.org/W2886934227","https://openalex.org/W2888407265","https://openalex.org/W2962772649","https://openalex.org/W2963418739","https://openalex.org/W2963516811","https://openalex.org/W2964309882","https://openalex.org/W2985269212","https://openalex.org/W2994615081","https://openalex.org/W3000247513","https://openalex.org/W3014641072","https://openalex.org/W3015187397","https://openalex.org/W3034552520","https://openalex.org/W3035487542","https://openalex.org/W3113270537","https://openalex.org/W3138423360","https://openalex.org/W3159337199","https://openalex.org/W3170544306","https://openalex.org/W3175515048","https://openalex.org/W3211490618","https://openalex.org/W4205362472","https://openalex.org/W4224931281","https://openalex.org/W4287020683","https://openalex.org/W4302275239","https://openalex.org/W4312688875","https://openalex.org/W4322707121","https://openalex.org/W4323306127","https://openalex.org/W4324052643","https://openalex.org/W4378805000","https://openalex.org/W4386076267","https://openalex.org/W4387449002","https://openalex.org/W6610935195"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W2372403409","https://openalex.org/W4321636575","https://openalex.org/W4379231730","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W4242726756","https://openalex.org/W2045526782","https://openalex.org/W3147584709","https://openalex.org/W3112772842"],"abstract_inverted_index":{"Surface":[0,8],"defect":[1,64,144],"detection":[2,18],"is":[3],"an":[4,76],"extremely":[5],"challenging":[6],"task.":[7],"defects":[9,49,116],"typically":[10],"exhibit":[11],"weak":[12,118],"appearances":[13],"and":[14,26,70,100,107,135,147],"complex":[15,51],"boundaries.":[16],"Some":[17],"methods":[19,39],"are":[20],"limited":[21,34],"by":[22,93],"their":[23,45],"high":[24],"computational":[25],"storage":[27,102],"costs":[28],"when":[29],"applied":[30],"to":[31,115,141],"devices":[32],"with":[33,67,82],"resources.":[35],"Although":[36],"some":[37],"lightweight":[38,63,168],"can":[40],"achieve":[41],"real-time":[42],"inference":[43],"speeds,":[44],"accuracy":[46],"in":[47,50,104],"detecting":[48],"scenarios":[52],"remains":[53],"insufficient.":[54],"To":[55],"address":[56],"this":[57],"challenge,":[58],"we":[59,74,121],"have":[60,161],"designed":[61,122],"a":[62,123],"segmentation":[65,169],"network":[66,140],"external":[68,101],"semantics":[69],"high-frequency":[71,136],"information.":[72],"Firstly,":[73],"devised":[75],"External":[77],"Semantic":[78],"Attention":[79],"(ESA)":[80],"mechanism":[81],"linear":[83],"complexity.":[84],"This":[85],"attention":[86,114],"learns":[87],"potential":[88],"semantic":[89],"relationships":[90],"between":[91,97,132],"samples":[92,99],"computing":[94],"the":[95,112,139],"correlation":[96],"input":[98],"units":[103],"both":[105],"spatial":[106],"channel":[108],"dimensions,":[109],"thus":[110],"enhancing":[111],"network's":[113],"of":[117,151],"appearances.":[119],"Secondly,":[120],"High-Frequency":[124],"Detail":[125],"Perception":[126],"Block":[127],"(HDPB)":[128],"that":[129,163],"enables":[130],"interaction":[131],"image":[133],"features":[134,146],"information,":[137],"allowing":[138],"actively":[142],"learn":[143],"boundary":[145],"capture":[148],"more":[149],"details":[150],"surface":[152],"defects.":[153],"Extensive":[154],"experiments":[155],"on":[156],"three":[157],"publicly":[158],"available":[159],"datasets":[160],"shown":[162],"our":[164],"method":[165],"outperforms":[166],"existing":[167],"methods.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}