{"id":"https://openalex.org/W7140162170","doi":"https://doi.org/10.48550/arxiv.2603.21824","title":"SteelDefectX: A Multi-Form Vision-Language Dataset and Benchmark for Steel Surface Defect Analysis","display_name":"SteelDefectX: A Multi-Form Vision-Language Dataset and Benchmark for Steel Surface Defect Analysis","publication_year":2026,"publication_date":"2026-03-23","ids":{"openalex":"https://openalex.org/W7140162170","doi":"https://doi.org/10.48550/arxiv.2603.21824"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.21824","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21824","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.21824","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhao, Shuxian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Shuxian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Gui, Jie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gui, Jie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yu, Baosheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Baosheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Tao, Dacheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao, Dacheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5410000085830688,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5410000085830688,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.17800000309944153,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.048500001430511475,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.953499972820282},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8102999925613403},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6541000008583069},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5087000131607056},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.47999998927116394},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.45680001378059387},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.3952000141143799}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.953499972820282},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8102999925613403},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6541000008583069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6431999802589417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5622000098228455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5515999794006348},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5087000131607056},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.501800000667572},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.47999998927116394},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.45680001378059387},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.3659999966621399},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.3086000084877014},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.28619998693466187},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2766000032424927},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25839999318122864}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.21824","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21824","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.21824","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21824","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.42668506503105164}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Steel":[0],"surface":[1,44],"defect":[2,45,52,61],"analysis":[3],"is":[4,75],"critical":[5,165],"for":[6,42,179],"industrial":[7,67,171,186],"quality":[8],"control,":[9],"yet":[10],"existing":[11],"benchmarks":[12],"rely":[13],"primarily":[14],"on":[15],"label-only":[16],"annotations,":[17,91],"limiting":[18],"fine-grained":[19,158],"semantic":[20,149,181],"understanding":[21],"and":[22,66,92,107,119,129,139,157,183,191],"systematic":[23],"evaluation":[24],"of":[25,80,105,167],"vision-language":[26,36,116,172,187],"models.":[27],"To":[28],"address":[29],"this":[30],"gap,":[31],"we":[32],"introduce":[33],"SteelDefectX,":[34],"a":[35,112,135,176],"dataset":[37,59,192],"with":[38,77,102,123],"multi-form":[39],"textual":[40,81,100,142,168],"annotations":[41,97],"steel":[43],"analysis,":[46],"comprising":[47],"7,778":[48],"images":[49],"across":[50],"25":[51],"categories.":[53],"At":[54,69],"the":[55,58,70,164],"class":[56],"level,":[57,72],"provides":[60,175],"names,":[62],"representative":[63],"visual":[64],"attributes,":[65],"causes.":[68],"sample":[71],"each":[73],"image":[74],"annotated":[76],"three":[78],"forms":[79],"representations:":[82],"(1)":[83],"free-form":[84],"natural":[85,152],"language":[86,153],"descriptions,":[87],"(2)":[88],"structured":[89],"attribute":[90],"(3)":[93],"template-based":[94],"sentences.":[95],"These":[96,161],"provide":[98,146],"flexible":[99],"supervision":[101],"varying":[103],"levels":[104],"expressiveness":[106],"controllability.":[108],"We":[109],"further":[110],"establish":[111],"comprehensive":[113],"benchmark":[114,178],"covering":[115],"classification,":[117],"segmentation,":[118],"cross-dataset":[120],"transfer,":[121],"along":[122],"additional":[124],"evaluations":[125],"such":[126],"as":[127],"retrieval":[128],"text-guided":[130],"localization.":[131],"Experimental":[132],"results":[133],"reveal":[134],"trade-off":[136],"between":[137],"structure":[138],"flexibility":[140],"in":[141,170,185],"representations.":[143],"Structured":[144],"attributes":[145],"more":[147],"stable":[148],"alignment,":[150],"while":[151],"descriptions":[154],"improve":[155],"transferability":[156],"spatial":[159],"grounding.":[160],"findings":[162],"highlight":[163],"role":[166],"design":[169],"learning.":[173,188],"SteelDefectX":[174],"new":[177],"studying":[180],"alignment":[182],"generalization":[184],"The":[189],"code":[190],"are":[193],"available":[194],"at":[195],"https://github.com/Zhaosxian/SteelDefectX.":[196]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-25T00:00:00"}
