{"id":"https://openalex.org/W4399257608","doi":"https://doi.org/10.1145/3653781.3653820","title":"DR-DETR: Dynamic Receptive DETR for Casting Defect Detection","display_name":"DR-DETR: Dynamic Receptive DETR for Casting Defect Detection","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4399257608","doi":"https://doi.org/10.1145/3653781.3653820"},"language":"en","primary_location":{"id":"doi:10.1145/3653781.3653820","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653781.3653820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer Vision and Deep Learning","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/A5090635831","display_name":"Han-Bing Zhang","orcid":"https://orcid.org/0009-0000-5992-1777"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanbing Zhang","raw_affiliation_strings":["School of Mechancial Engineering, Jiangsu University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0000-5992-1777","affiliations":[{"raw_affiliation_string":"School of Mechancial Engineering, Jiangsu University of Science and Technology, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051571876","display_name":"De-Jun Cheng","orcid":"https://orcid.org/0009-0005-0258-012X"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dejun Cheng","raw_affiliation_strings":["School of Mechancial Engineering, Jiangsu University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0005-0258-012X","affiliations":[{"raw_affiliation_string":"School of Mechancial Engineering, Jiangsu University of Science and Technology, China","institution_ids":["https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090635831"],"corresponding_institution_ids":["https://openalex.org/I4210096899"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09519337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9878000020980835,"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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9860000014305115,"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":0.6585708260536194},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.584381639957428},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.530559778213501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4878073036670685},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4600839614868164},{"id":"https://openalex.org/keywords/casting","display_name":"Casting","score":0.45478829741477966},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4314134120941162},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37397852540016174},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3223441243171692},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.17419493198394775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6585708260536194},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.584381639957428},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.530559778213501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4878073036670685},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4600839614868164},{"id":"https://openalex.org/C16635281","wikidata":"https://www.wikidata.org/wiki/Q496098","display_name":"Casting","level":2,"score":0.45478829741477966},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4314134120941162},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37397852540016174},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3223441243171692},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.17419493198394775},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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:10.1145/3653781.3653820","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653781.3653820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer Vision and Deep Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W2613718673","https://openalex.org/W2772955562","https://openalex.org/W2963037989","https://openalex.org/W2964241181","https://openalex.org/W2989604896","https://openalex.org/W3034713821","https://openalex.org/W3092462694","https://openalex.org/W3184439416","https://openalex.org/W4205560314","https://openalex.org/W4211237505","https://openalex.org/W4214627427","https://openalex.org/W4221146106","https://openalex.org/W4221146420","https://openalex.org/W4226013992","https://openalex.org/W4301409532","https://openalex.org/W4312312588","https://openalex.org/W4313252134","https://openalex.org/W4320487943","https://openalex.org/W4321501088","https://openalex.org/W4360838197","https://openalex.org/W4378714868","https://openalex.org/W4379106369","https://openalex.org/W4386076325","https://openalex.org/W4389403333","https://openalex.org/W4390442884","https://openalex.org/W6631782140","https://openalex.org/W6761108903","https://openalex.org/W6778485988","https://openalex.org/W6785652829","https://openalex.org/W6798838024","https://openalex.org/W6800709815","https://openalex.org/W6893711219"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2256933480","https://openalex.org/W2027854990","https://openalex.org/W2370081953","https://openalex.org/W2348612501","https://openalex.org/W47142806"],"abstract_inverted_index":{"The":[0],"casting":[1,56,95,100],"defects":[2],"of":[3,84,94],"production":[4],"can":[5,120],"significantly":[6],"reduce":[7],"service":[8],"life":[9],"and":[10,30,64,81,126],"cause":[11],"secondary":[12],"damage":[13],"under":[14],"harsh":[15],"environments.":[16],"However,":[17],"existing":[18],"defect":[19,29,40,57,75,101,129],"detection":[20,41,130],"methods":[21],"face":[22],"the":[23,73,78,90,110,117],"challenges":[24],"in":[25,39],"effectively":[26,121],"detecting":[27],"multi-scale":[28,123,128],"random":[31],"spatial":[32],"positions,":[33],"which":[34],"leads":[35],"to":[36,71,88,108],"a":[37,49],"deterioration":[38],"performance.":[42],"To":[43],"address":[44],"above":[45],"issues,":[46],"we":[47],"propose":[48],"novel":[50],"dynamic":[51,91],"receptive":[52],"DETR":[53,85],"(DR-DETR)":[54],"for":[55],"detection.":[58],"Firstly,":[59],"an":[60],"adaptive":[61],"brightness":[62],"adjustment":[63],"gamma":[65],"correction":[66],"(ABAGC)":[67],"module":[68],"is":[69,86],"proposed":[70,111,118],"enhance":[72],"low-contrast":[74],"feature.":[76],"Then,":[77],"query":[79],"mechanism":[80],"decoder":[82],"architecture":[83],"improved":[87],"realize":[89],"feature":[92],"extraction":[93],"defects.":[96],"A":[97],"turbine":[98],"blade":[99],"radiographic":[102],"(TBCDR)":[103],"images":[104],"dataset":[105],"were":[106],"applied":[107],"validate":[109],"method.":[112],"Comparative":[113],"results":[114],"demonstrate":[115],"that":[116],"method":[119],"integrate":[122],"image":[124],"features":[125],"improve":[127],"precision.":[131]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}