{"id":"https://openalex.org/W3160760745","doi":"https://doi.org/10.1109/icassp39728.2021.9413517","title":"Weakly Supervised Patch Label Inference Network with Image Pyramid for Pavement Diseases Recognition in the Wild","display_name":"Weakly Supervised Patch Label Inference Network with Image Pyramid for Pavement Diseases Recognition in the Wild","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3160760745","doi":"https://doi.org/10.1109/icassp39728.2021.9413517","mag":"3160760745"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5014091158","display_name":"Guixin Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guixin Huang","raw_affiliation_strings":["Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052560070","display_name":"Sheng Huang","orcid":"https://orcid.org/0000-0001-5610-0826"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Huang","raw_affiliation_strings":["Chongqing University, Chongqing, China","Ministry of Education Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Ministry of Education Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117217082","display_name":"Luwen Huangfu","orcid":"https://orcid.org/0000-0003-3926-7901"},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luwen Huangfu","raw_affiliation_strings":["San Diego State University, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"San Diego State University, San Diego, CA, USA","institution_ids":["https://openalex.org/I26538001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102013485","display_name":"Dan Yang","orcid":"https://orcid.org/0000-0001-5640-7772"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Yang","raw_affiliation_strings":["Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014091158"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.5398,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6289322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7978","last_page":"7982"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":1.0,"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":1.0,"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/T10264","display_name":"Asphalt Pavement Performance Evaluation","score":0.9972000122070312,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/inference","display_name":"Inference","score":0.6745594143867493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.650007426738739},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6228904128074646},{"id":"https://openalex.org/keywords/pothole","display_name":"Pothole (geology)","score":0.6013023257255554},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5228081941604614},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48746418952941895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47157496213912964},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44373178482055664},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12269255518913269}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6745594143867493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.650007426738739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6228904128074646},{"id":"https://openalex.org/C2776023743","wikidata":"https://www.wikidata.org/wiki/Q7234907","display_name":"Pothole (geology)","level":2,"score":0.6013023257255554},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5228081941604614},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48746418952941895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47157496213912964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44373178482055664},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12269255518913269},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C5900021","wikidata":"https://www.wikidata.org/wiki/Q163082","display_name":"Petrology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9413517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5400000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324805","display_name":"Chongqing Municipal Education Commission","ror":"https://ror.org/031nm5713"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1918005223","https://openalex.org/W1966417764","https://openalex.org/W1983587326","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2119821739","https://openalex.org/W2161969291","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2320744776","https://openalex.org/W2757455114","https://openalex.org/W2757910899","https://openalex.org/W2786174052","https://openalex.org/W2808919226","https://openalex.org/W2911964244","https://openalex.org/W2955033982","https://openalex.org/W2955425717","https://openalex.org/W2964153283","https://openalex.org/W2968917279","https://openalex.org/W2970803838","https://openalex.org/W2994689640","https://openalex.org/W3032449210","https://openalex.org/W3167866269","https://openalex.org/W4239510810","https://openalex.org/W4246252629","https://openalex.org/W6637373629","https://openalex.org/W6744513255","https://openalex.org/W6747842307","https://openalex.org/W6762718338","https://openalex.org/W6766196973","https://openalex.org/W6767164110","https://openalex.org/W6779472057"],"related_works":["https://openalex.org/W1968935646","https://openalex.org/W2745941246","https://openalex.org/W3127217315","https://openalex.org/W2392271692","https://openalex.org/W2073244017","https://openalex.org/W2326429803","https://openalex.org/W1792107727","https://openalex.org/W1981023409","https://openalex.org/W2156433563","https://openalex.org/W2134233211"],"abstract_inverted_index":{"Automatic":[0],"pavement":[1,7,37,57],"disease":[2,109],"recognition":[3],"is":[4,80,116,125],"vital":[5],"for":[6,32,65,82,108],"maintenance":[8],"and":[9,51,70,137],"management.":[10],"In":[11],"this":[12],"paper,":[13],"we":[14],"present":[15],"an":[16,62],"end-to-end":[17],"deep":[18],"learning":[19],"approach":[20],"named":[21,158],"Weakly":[22],"Super-vised":[23],"Patch":[24,75],"Label":[25,76],"Inference":[26,77],"Network":[27,78,106],"with":[28,61,90],"Image":[29],"Pyramid":[30],"(WSPLIN-IP)":[31],"recognizing":[33],"various":[34],"types":[35],"of":[36,86,123,135,173],"diseases":[38],"that":[39],"are":[40,100,162],"not":[41],"just":[42],"limited":[43],"to":[44],"the":[45,56,68,84,97,113,121,133,138,143,165,171],"specific":[46],"ones,":[47],"such":[48],"as":[49],"crack":[50],"pothole.":[52],"WSPLIN-IP":[53],"first":[54],"divides":[55],"image":[58,63,114],"into":[59,102],"patches":[60,88],"pyramid":[64],"fully":[66],"exploiting":[67],"resolution":[69],"scale":[71],"information.":[72,146],"Then,":[73],"a":[74,91,103,128,152],"(PLIN)":[79],"employed":[81],"inferring":[83],"labels":[85,99],"these":[87],"constrained":[89],"patch":[92,98],"label":[93,115],"sparsity":[94],"loss.":[95],"Finally,":[96],"fed":[101],"Comprehensive":[104],"Decision":[105],"(CDN)":[107],"recognition.":[110],"Since":[111],"only":[112],"available":[117],"during":[118],"whole":[119],"training,":[120],"training":[122],"PLIN":[124,140],"conducted":[126],"in":[127,164],"weakly":[129],"supervised":[130],"way":[131],"under":[132],"guidance":[134],"CDN":[136],"trained":[139],"can":[141],"provide":[142],"interpretable":[144],"intermediate":[145],"We":[147],"evaluate":[148],"our":[149,174],"method":[150,175],"on":[151],"large-scale":[153],"Bituminous":[154],"Pavement":[155],"Disease":[156],"Dataset":[157],"CQU-BPDD":[159],"whose":[160],"samples":[161],"acquired":[163],"real":[166],"world.":[167],"Extensive":[168],"results":[169],"demonstrate":[170],"superiority":[172],"over":[176],"baselines.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}