{"id":"https://openalex.org/W4411631863","doi":"https://doi.org/10.1145/3731715.3733299","title":"CrackMamba with Normalized Soft-Frangi-Filter Enhancement towards Accurate Crack Segmentation","display_name":"CrackMamba with Normalized Soft-Frangi-Filter Enhancement towards Accurate Crack Segmentation","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4411631863","doi":"https://doi.org/10.1145/3731715.3733299"},"language":"en","primary_location":{"id":"doi:10.1145/3731715.3733299","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5090694750","display_name":"Wanqiang Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanqiang Cai","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0003-5228-0585","affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xudong Wang","orcid":"https://orcid.org/0009-0000-6525-6478"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Wang","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0000-6525-6478","affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yifan Xue","orcid":"https://orcid.org/0009-0007-6951-8077"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Xue","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0007-6951-8077","affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yingyao Ma","orcid":"https://orcid.org/0009-0004-3783-0128"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingyao Ma","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0004-3783-0128","affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078388244","display_name":"Jiasong Wu","orcid":"https://orcid.org/0000-0001-7171-1318"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiasong Wu","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7171-1318","affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005014252","display_name":"Zongyuan Ge","orcid":"https://orcid.org/0000-0002-5880-8673"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zongyuan Ge","raw_affiliation_strings":["Monash University, Melbourne, China"],"raw_orcid":"https://orcid.org/0000-0002-5880-8673","affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101805939","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-9730-374X"},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Nanjing University of Finance &Economics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9730-374X","affiliations":[{"raw_affiliation_string":"Nanjing University of Finance &Economics, Nanjing, China","institution_ids":["https://openalex.org/I137056471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9976999759674072,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.980400025844574,"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":0.6907265782356262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6520629525184631},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6144249439239502},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5843659043312073},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5434837341308594},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41738420724868774}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6907265782356262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6520629525184631},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6144249439239502},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5843659043312073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5434837341308594},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41738420724868774}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3731715.3733299","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1534313162","https://openalex.org/W1901129140","https://openalex.org/W2033294017","https://openalex.org/W2079054397","https://openalex.org/W2086373542","https://openalex.org/W2108598243","https://openalex.org/W2129534965","https://openalex.org/W2144185616","https://openalex.org/W2397222277","https://openalex.org/W2560023338","https://openalex.org/W2884585870","https://openalex.org/W2912350898","https://openalex.org/W2964308596","https://openalex.org/W2964309882","https://openalex.org/W2979396152","https://openalex.org/W2981689412","https://openalex.org/W2982083293","https://openalex.org/W2982220924","https://openalex.org/W2986274801","https://openalex.org/W3035414587","https://openalex.org/W3083292218","https://openalex.org/W3083793552","https://openalex.org/W3127284433","https://openalex.org/W3138516171","https://openalex.org/W3148211242","https://openalex.org/W3196904463","https://openalex.org/W3202794642","https://openalex.org/W4205362472","https://openalex.org/W4211062512","https://openalex.org/W4224117781","https://openalex.org/W4224244676","https://openalex.org/W4280491056","https://openalex.org/W4281254198","https://openalex.org/W4283359758","https://openalex.org/W4285394468","https://openalex.org/W4299572933","https://openalex.org/W4309047390","https://openalex.org/W4313156423","https://openalex.org/W4313253257","https://openalex.org/W4367146803","https://openalex.org/W4387336396","https://openalex.org/W4387872955","https://openalex.org/W4388036122","https://openalex.org/W4390873988","https://openalex.org/W4392504736","https://openalex.org/W4392538737","https://openalex.org/W4392903548","https://openalex.org/W4400227393","https://openalex.org/W4403667117","https://openalex.org/W4406046415","https://openalex.org/W4406580882","https://openalex.org/W4408521297","https://openalex.org/W4410992944"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Crack":[0],"segmentation":[1,22],"is":[2],"crucial":[3],"in":[4],"monitoring":[5],"infrastructure":[6],"degradation.":[7],"However,":[8],"the":[9,26,43,83,96,109,138,142,146],"strong":[10,103],"contextual":[11],"dependencies":[12,52],"of":[13,53,111],"long-spanned":[14,54],"morphology":[15],"and":[16,81,85,100,137,153],"numerous":[17],"fine-grained":[18,65,115],"branches":[19],"hinder":[20],"high-precision":[21],"performance.":[23],"To":[24,63],"tackle":[25],"above":[27],"obstacles,":[28],"we":[29,68],"provide":[30],"a":[31,70,77,86],"pure":[32],"Mamba-based":[33,44],"model":[34,50],"termed":[35],"CrackMamba":[36,41,99,112,119,144],"for":[37,60],"accurate":[38],"crack":[39,66,116,135],"segmentation.":[40],"utilizes":[42,82],"Feature":[45],"Extractor":[46],"(MFE)":[47],"to":[48,91,113],"effectively":[49,120],"global":[51],"cracks":[55],"with":[56,150],"linear":[57],"computational":[58,155],"complexity":[59],"powerful":[61],"representation.":[62],"capture":[64],"branches,":[67],"design":[69],"novel":[71],"texture":[72],"refinement":[73],"module,":[74],"which":[75],"employs":[76],"multi-scale":[78],"aggregation":[79],"strategy":[80],"MFE":[84],"Normalized":[87],"Soft-Frangi-Filter":[88],"(NSFF)":[89],"module":[90,107],"integrate":[92],"hierarchical":[93],"features":[94],"from":[95],"decoder.":[97],"The":[98,105],"NSFF":[101,106,126],"exhibit":[102],"complementarity.":[104],"enhances":[108],"capability":[110],"segment":[114],"textures,":[117],"while":[118],"eliminating":[121],"crack-unrelated":[122],"curves":[123],"extracted":[124],"by":[125],"module.":[127],"Extensive":[128],"experiments":[129],"are":[130],"conducted":[131],"on":[132],"two":[133],"benchmark":[134],"datasets,":[136],"results":[139],"demonstrate":[140],"that":[141],"proposed":[143],"achieves":[145],"state-of-the-art":[147],"(SOTA)":[148],"performance":[149],"fewer":[151],"parameters":[152],"higher":[154],"efficiency.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}