{"id":"https://openalex.org/W4287846258","doi":"https://doi.org/10.1109/icca54724.2022.9831925","title":"Datasets and Methods for Boosting Infrastructure Inspection: A Survey on Defect Segmentation and Detection","display_name":"Datasets and Methods for Boosting Infrastructure Inspection: A Survey on Defect Segmentation and Detection","publication_year":2022,"publication_date":"2022-06-27","ids":{"openalex":"https://openalex.org/W4287846258","doi":"https://doi.org/10.1109/icca54724.2022.9831925"},"language":"en","primary_location":{"id":"doi:10.1109/icca54724.2022.9831925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca54724.2022.9831925","pdf_url":null,"source":{"id":"https://openalex.org/S4363608132","display_name":"2022 IEEE 17th International Conference on Control &amp; Automation (ICCA)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 17th International Conference on Control &amp; Automation (ICCA)","raw_type":"proceedings-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/A5073973915","display_name":"Kangcheng Liu","orcid":"https://orcid.org/0000-0002-8387-3565"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kangcheng Liu","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Mechanical and Automation Engineering,Shatin, NT,Hong Kong","Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Mechanical and Automation Engineering,Shatin, NT,Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028540536","display_name":"Guidong Yang","orcid":"https://orcid.org/0000-0001-5419-5673"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guidong Yang","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Mechanical and Automation Engineering,Shatin, NT,Hong Kong","Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Mechanical and Automation Engineering,Shatin, NT,Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057158806","display_name":"Jihan Zhang","orcid":"https://orcid.org/0009-0003-5042-7467"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihan Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Mechanical and Automation Engineering,Shatin, NT,Hong Kong","Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Mechanical and Automation Engineering,Shatin, NT,Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081005685","display_name":"Zuoquan Zhao","orcid":"https://orcid.org/0000-0002-7954-5083"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuoquan Zhao","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Mechanical and Automation Engineering,Shatin, NT,Hong Kong","Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Mechanical and Automation Engineering,Shatin, NT,Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330005","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0002-9835-7141"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Chen","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Mechanical and Automation Engineering,Shatin, NT,Hong Kong","Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Mechanical and Automation Engineering,Shatin, NT,Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100428803","display_name":"Ben M. Chen","orcid":"https://orcid.org/0000-0002-3839-5787"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ben M. Chen","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Mechanical and Automation Engineering,Shatin, NT,Hong Kong","Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Mechanical and Automation Engineering,Shatin, NT,Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073973915"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":5.1406,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.96651163,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"23","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9998999834060669,"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":0.9998999834060669,"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/T11850","display_name":"Concrete Corrosion and Durability","score":0.9922000169754028,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9914000034332275,"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/computer-science","display_name":"Computer science","score":0.8022373914718628},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7732523679733276},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7232953310012817},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7081668376922607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5834256410598755},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4768698811531067},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.468911737203598},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4548798203468323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4186771810054779},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4100363254547119},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33075106143951416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8022373914718628},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7732523679733276},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7232953310012817},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7081668376922607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5834256410598755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4768698811531067},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.468911737203598},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4548798203468323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4186771810054779},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4100363254547119},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33075106143951416},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca54724.2022.9831925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca54724.2022.9831925","pdf_url":null,"source":{"id":"https://openalex.org/S4363608132","display_name":"2022 IEEE 17th International Conference on Control &amp; Automation (ICCA)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 17th International Conference on Control &amp; Automation (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1963782251","https://openalex.org/W2074925468","https://openalex.org/W2144801789","https://openalex.org/W2194775991","https://openalex.org/W2407692387","https://openalex.org/W2412782625","https://openalex.org/W2511065100","https://openalex.org/W2523358814","https://openalex.org/W2549139847","https://openalex.org/W2557406251","https://openalex.org/W2565639579","https://openalex.org/W2735386636","https://openalex.org/W2752782242","https://openalex.org/W2762035267","https://openalex.org/W2793268137","https://openalex.org/W2896969435","https://openalex.org/W2899242765","https://openalex.org/W2912350898","https://openalex.org/W2919115771","https://openalex.org/W2963446712","https://openalex.org/W2963881378","https://openalex.org/W2964118266","https://openalex.org/W2964308596","https://openalex.org/W2964309882","https://openalex.org/W2964338223","https://openalex.org/W2978200937","https://openalex.org/W2983902176","https://openalex.org/W2989673213","https://openalex.org/W2999012845","https://openalex.org/W3002978252","https://openalex.org/W3007515473","https://openalex.org/W3021470593","https://openalex.org/W3033780772","https://openalex.org/W3034059856","https://openalex.org/W3047137215","https://openalex.org/W3092457719","https://openalex.org/W3113341215","https://openalex.org/W3118410762","https://openalex.org/W3120008738","https://openalex.org/W3120387510","https://openalex.org/W3124942917","https://openalex.org/W3134108147","https://openalex.org/W3155019887","https://openalex.org/W3161660388","https://openalex.org/W3176934888","https://openalex.org/W3181543707","https://openalex.org/W3197911091","https://openalex.org/W3204355356","https://openalex.org/W3205364888","https://openalex.org/W3217288639","https://openalex.org/W4223991150","https://openalex.org/W4287846219","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6725739302","https://openalex.org/W6739901393","https://openalex.org/W6785911432","https://openalex.org/W6787228108","https://openalex.org/W6798539218","https://openalex.org/W6804386634","https://openalex.org/W6902455309","https://openalex.org/W6939922673","https://openalex.org/W6958906912"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4390721878","https://openalex.org/W2963610131","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W4254103348","https://openalex.org/W3210378990","https://openalex.org/W3034745255"],"abstract_inverted_index":{"The":[0,135],"lack":[1],"of":[2,14,36,155,180],"publicly":[3,105],"available":[4,106],"defect":[5,48,109,120],"datasets":[6,49,70,107],"with":[7,152,164],"qualified":[8],"annotations":[9],"has":[10,147],"restricted":[11],"the":[12,33,53,69,118,123,127,153,156,181],"development":[13],"deep":[15,28],"learning-based":[16,29],"infrastructure":[17],"defects":[18,30,92,205],"inspection.":[19,31,206],"This":[20],"two-part":[21],"survey":[22,44,102],"aims":[23],"to":[24,78],"boost":[25],"research":[26,63,203],"in":[27,204],"In":[32,94],"companion":[34],"paper":[35],"this":[37,95],"work,":[38,146],"we":[39,66,97,173],"have":[40,67,174],"presented":[41],"a":[42,80,88,100,177,186,198],"systematic":[43,101],"on":[45,103,117,132,143,167],"11":[46],"classification-oriented":[47],"and":[50,72,83,111,126,185],"comprehensively":[51],"compared":[52,151],"state-of-the-art":[54,191],"algorithms":[55,192],"for":[56,86,91,108,122,193,201],"object":[57],"classification,":[58],"taking":[59],"crack":[60,76,124,194],"as":[61],"our":[62,74,139,144],"interest.":[64],"Besides,":[65],"summarized":[68],"before":[71],"incorporated":[73],"self-labeled":[75],"data":[77],"establish":[79],"benchmark":[81],"dataset":[82,90,121],"proposed":[84,140],"suggestions":[85],"building":[87],"high-quality":[89],"classification.":[93],"paper,":[96],"first":[98],"present":[99],"26":[104],"segmentation":[110,125,183],"detection.":[112],"We":[113],"then":[114],"conduct":[115],"experiments":[116],"established":[119],"subsequent":[128],"detection":[129],"tasks":[130],"based":[131,142],"non-maximum":[133],"suppression.":[134],"results":[136],"show":[137],"that":[138],"method,":[141],"previous":[145],"achieved":[148],"satisfactory":[149],"performance":[150,163],"state":[154],"arts.":[157],"Our":[158],"method":[159],"also":[160,175],"shows":[161],"superior":[162],"acceptable":[165],"efficiency":[166],"modern":[168],"graphic":[169],"processing":[170],"units.":[171],"Moreover,":[172],"performed":[176],"detailed":[178],"illustration":[179],"typical":[182],"networks":[184],"comprehensive":[187,199],"comparison":[188],"between":[189],"existing":[190],"segmentation,":[195],"which":[196],"provides":[197],"baseline":[200],"future":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
