{"id":"https://openalex.org/W4402917119","doi":"https://doi.org/10.1109/icip51287.2024.10648133","title":"Adaptxray: Vision Transformer And Adapter In X-Ray Images For Prohibited Items Detection","display_name":"Adaptxray: Vision Transformer And Adapter In X-Ray Images For Prohibited Items Detection","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402917119","doi":"https://doi.org/10.1109/icip51287.2024.10648133"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10648133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10648133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","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/A5068407684","display_name":"Yaobin Huang","orcid":"https://orcid.org/0000-0001-5820-8865"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaobin Huang","raw_affiliation_strings":["South China University of Technology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049629115","display_name":"Hongxia Gao","orcid":"https://orcid.org/0000-0001-8142-7011"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxia Gao","raw_affiliation_strings":["South China University of Technology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100427630","display_name":"Xiaomeng Li","orcid":"https://orcid.org/0000-0002-3802-7378"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomeng Li","raw_affiliation_strings":["South China University of Technology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4633,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8289372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"402","last_page":"408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9599999785423279,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9599999785423279,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9176999926567078,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.6634937524795532},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5521900057792664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5376260280609131},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5297269225120544},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5044873952865601},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2302517592906952},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21726468205451965},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.19870170950889587},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07234540581703186}],"concepts":[{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.6634937524795532},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5521900057792664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5376260280609131},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5297269225120544},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5044873952865601},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2302517592906952},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21726468205451965},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.19870170950889587},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07234540581703186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10648133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10648133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","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":27,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2279523356","https://openalex.org/W2790624640","https://openalex.org/W2898808874","https://openalex.org/W2964241181","https://openalex.org/W2982770724","https://openalex.org/W3029934601","https://openalex.org/W3089683834","https://openalex.org/W3092955400","https://openalex.org/W3094502228","https://openalex.org/W3194248746","https://openalex.org/W3194663316","https://openalex.org/W3197695291","https://openalex.org/W4214507171","https://openalex.org/W4288325606","https://openalex.org/W4308235677","https://openalex.org/W4312446817","https://openalex.org/W4313156423","https://openalex.org/W4386598502","https://openalex.org/W6620707391","https://openalex.org/W6784094891","https://openalex.org/W6796581206","https://openalex.org/W6810653034","https://openalex.org/W6838393215","https://openalex.org/W6838701581","https://openalex.org/W6853214852","https://openalex.org/W6858196486"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","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":{"Prohibited":[0],"items":[1,120],"detection":[2,34,193],"refers":[3],"to":[4,82,128,142,160],"the":[5,18,55,67,78,87,97,147,152,165,181,188],"non-contact":[6],"inspection":[7],"of":[8,20,63,69,74,183],"passenger":[9],"baggage":[10,173],"for":[11,118],"potential":[12],"threats":[13],"through":[14],"X-ray":[15,64,100],"image.":[16],"Since":[17],"uncertainty":[19],"artificial":[21],"security":[22,65,89],"screening,":[23],"previous":[24],"research":[25],"has":[26],"mainly":[27],"concentrated":[28],"on":[29,37,170],"direct":[30,70],"transfer":[31,71],"by":[32],"universal":[33,149],"frameworks":[35],"based":[36],"natural":[38],"image":[39],"and":[40,52,61,72,84,111,145,177],"design":[41,76,124],"in":[42,58,99,151],"enhance":[43],"or":[44],"aware":[45],"module":[46],"with":[47,108],"salient":[48],"features":[49,132,150],"like":[50],"edge":[51],"color.":[53],"With":[54],"increasing":[56],"complexity":[57],"both":[59],"categories":[60],"quantities":[62],"inspection,":[66],"unreliability":[68],"complication":[73],"task-specific":[75],"make":[77],"existing":[79,189],"algorithms":[80],"difficult":[81],"reliably":[83],"efficiently":[85],"adapt":[86],"complex":[88],"inspection.":[90],"To":[91],"address":[92],"this":[93],"challenge,":[94],"we":[95,123,138,155],"propose":[96,156],"Adapter":[98,159],"(AdaptXray),":[101],"which":[102],"firstly":[103],"explores":[104],"pre-trained":[105],"Vision":[106],"Transformer":[107],"powerful":[109],"representation":[110],"Parameter":[112],"Efficient":[113],"Transfer":[114],"Learning":[115],"method":[116],"applying":[117],"prohibited":[119],"detection.":[121],"Specifically,":[122],"Color":[125],"Prior":[126],"Extractor":[127],"perceive":[129,144],"local":[130],"prior":[131,162],"from":[133],"different":[134],"color":[135],"spaces.":[136],"Subsequently,":[137],"develop":[139],"Global-aware":[140],"Self-Adapter":[141],"adaptively":[143],"optimize":[146],"global":[148],"backbone.":[153,167],"Additionally,":[154],"Local-aware":[157],"Interactive":[158],"incorporate":[161],"knowledge":[163],"into":[164],"pretrained":[166],"Thorough":[168],"experimentation":[169],"two":[171],"public":[172],"datasets,":[174],"namely":[175],"OPIXray":[176],"PIDray,":[178],"demonstrates":[179],"that":[180],"effectiveness":[182],"our":[184],"proposed":[185],"method,":[186],"outperforming":[187],"renown":[190],"CNN":[191],"-based":[192],"approaches.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}