{"id":"https://openalex.org/W4404031389","doi":"https://doi.org/10.1109/icccnt61001.2024.10723969","title":"Enhanced Object Detection model in Complex Images using swin-transformer","display_name":"Enhanced Object Detection model in Complex Images using swin-transformer","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404031389","doi":"https://doi.org/10.1109/icccnt61001.2024.10723969"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10723969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10723969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5088347486","display_name":"G Indhumathi","orcid":null},"institutions":[{"id":"https://openalex.org/I4399657946","display_name":"Rajalakshmi Engineering College","ror":"https://ror.org/01dw2vm55","country_code":null,"type":"education","lineage":["https://openalex.org/I4399657946"]}],"countries":[],"is_corresponding":true,"raw_author_name":"G Indhumathi","raw_affiliation_strings":["Rajalakshmi Engineering College,Department of ECE,Chennai"],"affiliations":[{"raw_affiliation_string":"Rajalakshmi Engineering College,Department of ECE,Chennai","institution_ids":["https://openalex.org/I4399657946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073423236","display_name":"E. Padma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"E. Padma","raw_affiliation_strings":["Nandha Engineering College, Perundurai,Department of CSE,Erode"],"affiliations":[{"raw_affiliation_string":"Nandha Engineering College, Perundurai,Department of CSE,Erode","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078977020","display_name":"G. Vasumathi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G Vasumathi","raw_affiliation_strings":["S.A. Engineering College,Department of ECE,Chennai"],"affiliations":[{"raw_affiliation_string":"S.A. Engineering College,Department of ECE,Chennai","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015625920","display_name":"Shaik Mahaboob Basha","orcid":"https://orcid.org/0000-0002-5843-4472"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shaik Mahaboob Basha","raw_affiliation_strings":["Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College),School of Engineering,Department of ECE,Tirupati"],"affiliations":[{"raw_affiliation_string":"Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College),School of Engineering,Department of ECE,Tirupati","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108447157","display_name":"M. Dinesh","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M Dinesh","raw_affiliation_strings":["Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University,Saveetha School of Engineering,Department of VLSI Microelectronics,Chennai"],"affiliations":[{"raw_affiliation_string":"Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University,Saveetha School of Engineering,Department of VLSI Microelectronics,Chennai","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5088347486"],"corresponding_institution_ids":["https://openalex.org/I4399657946"],"apc_list":null,"apc_paid":null,"fwci":0.7561,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80569244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.19169999659061432,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.19169999659061432,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.6621358394622803},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5194146633148193},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5066841244697571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4714202284812927},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11738312244415283},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09982991218566895},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08719253540039062}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6621358394622803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5194146633148193},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5066841244697571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4714202284812927},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11738312244415283},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09982991218566895},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08719253540039062}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10723969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10723969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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":10,"referenced_works":["https://openalex.org/W4391106985","https://openalex.org/W4391383507","https://openalex.org/W4392247014","https://openalex.org/W4393063400","https://openalex.org/W4394597391","https://openalex.org/W4394984900","https://openalex.org/W4395024780","https://openalex.org/W4399020138","https://openalex.org/W4399739277","https://openalex.org/W4400285049"],"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":{"The":[0,106],"effectively":[1],"target":[2],"the":[3,23,38,51,64,98],"detection":[4,89,129],"model":[5,29,110],"on":[6,22,94],"complex":[7],"images,":[8],"we":[9],"will":[10],"discuss":[11],"Better":[12],"Object":[13,108],"Detection":[14,109],"for":[15,63,122],"Complex":[16,112],"Images":[17,113],"using":[18,114],"Swin-transformer.":[19],"It\u2019s":[20],"based":[21],"swing-transformer":[24,116],"architecture,":[25],"a":[26,115,118],"recent":[27],"transformer-based":[28],"with":[30,41],"excellent":[31],"results":[32,93],"in":[33,111],"image":[34],"recognition":[35],"tasks.":[36],"Following":[37],"hand-crafted":[39],"pipeline":[40],"predefined":[42],"anchor":[43],"boxes,":[44],"these":[45],"two-stage":[46],"object":[47,88,128,148],"detections":[48],"differ":[49],"from":[50],"current":[52],"paper\u2019s":[53],"end-to-end":[54],"learned":[55],"representations":[56],"of":[57,72,75,100],"objects.":[58],"It":[59],"makes":[60],"it":[61],"easier":[62],"network":[65],"to":[66,133],"identify":[67],"intricate":[68],"and":[69,84,126],"diverse":[70],"images":[71],"objects":[73],"regardless":[74],"their":[76],"sizes,":[77],"shapes,":[78],"etc.":[79],"Finally,":[80],"multi-scale":[81],"feature":[82],"fusion":[83],"self-attention":[85],"mechanisms":[86],"improve":[87],"performance.":[90],"Extensive":[91],"experimental":[92],"benchmark":[95],"datasets":[96],"show":[97],"effectiveness":[99],"our":[101],"method":[102],"over":[103],"state-of-the-art":[104],"approaches.":[105],"Enhanced":[107],"is":[117],"practical":[119],"road":[120],"map":[121],"deploying":[123],"more":[124],"robust":[125],"reliable":[127],"systems,":[130],"specially":[131],"designed":[132],"fit":[134],"deployment":[135],"environments":[136],"such":[137],"as":[138],"Autonomous":[139],"Driving,":[140],"surveillance":[141],"scenes,":[142],"or":[143],"remote-sensing":[144],"scenarios(PropertyName)":[145],"where":[146],"accurate":[147],"predictions":[149],"are":[150],"critical.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
