{"id":"https://openalex.org/W4366386508","doi":"https://doi.org/10.1109/tifs.2023.3268504","title":"IrisGuideNet: Guided Localization and Segmentation Network for Unconstrained Iris Biometrics","display_name":"IrisGuideNet: Guided Localization and Segmentation Network for Unconstrained Iris Biometrics","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4366386508","doi":"https://doi.org/10.1109/tifs.2023.3268504"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2023.3268504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2023.3268504","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-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/A5040147826","display_name":"Jawad Muhammad","orcid":"https://orcid.org/0000-0003-2547-5267"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jawad Muhammad","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","Institute of Automation, Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2547-5267","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Automation, Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013785510","display_name":"Caiyong Wang","orcid":"https://orcid.org/0000-0001-7341-3904"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caiyong Wang","raw_affiliation_strings":["School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China","Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7341-3904","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]},{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing, China","institution_ids":["https://openalex.org/I4210096250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398969","display_name":"Yunlong Wang","orcid":"https://orcid.org/0000-0002-3535-308X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Wang","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","Institute of Automation, Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3535-308X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Automation, Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079579315","display_name":"Kunbo Zhang","orcid":"https://orcid.org/0000-0002-4826-6831"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunbo Zhang","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","Institute of Automation, Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4826-6831","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Automation, Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055505703","display_name":"Zhenan Sun","orcid":"https://orcid.org/0000-0003-4029-9935"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenan Sun","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","Institute of Automation, Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4029-9935","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Automation, Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0044,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86325627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"18","issue":null,"first_page":"2723","last_page":"2736"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11448","display_name":"Face recognition and analysis","score":0.991100013256073,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9775999784469604,"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/computer-science","display_name":"Computer science","score":0.8787579536437988},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6400948762893677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6339216232299805},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.601830780506134},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.5649427175521851},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5269457101821899},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4950239062309265},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48702770471572876},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.47421693801879883},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.46594417095184326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4474866986274719},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4350319504737854},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.43474602699279785},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3964040279388428}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8787579536437988},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6400948762893677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6339216232299805},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.601830780506134},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.5649427175521851},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5269457101821899},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4950239062309265},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48702770471572876},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.47421693801879883},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.46594417095184326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4474866986274719},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4350319504737854},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.43474602699279785},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3964040279388428},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2023.3268504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2023.3268504","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2255493700","display_name":null,"funder_award_id":"62006225","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2992973726","display_name":null,"funder_award_id":"62106015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4148218262","display_name":null,"funder_award_id":"JDYC20220819","funder_id":"https://openalex.org/F4320325174","funder_display_name":"Beijing University of Civil Engineering and Architecture"},{"id":"https://openalex.org/G4855733178","display_name":null,"funder_award_id":"2022YFC3310400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8361507201","display_name":null,"funder_award_id":"62176025","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320325174","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855"},{"id":"https://openalex.org/F4320330912","display_name":"Beijing Association for Science and Technology","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1522301498","https://openalex.org/W1580389772","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1979331595","https://openalex.org/W1998529975","https://openalex.org/W2025546194","https://openalex.org/W2037610579","https://openalex.org/W2056963651","https://openalex.org/W2115718877","https://openalex.org/W2118282683","https://openalex.org/W2132083787","https://openalex.org/W2142796063","https://openalex.org/W2158116394","https://openalex.org/W2168567026","https://openalex.org/W2171759622","https://openalex.org/W2172128630","https://openalex.org/W2194775991","https://openalex.org/W2209174485","https://openalex.org/W2279098554","https://openalex.org/W2438833314","https://openalex.org/W2513586865","https://openalex.org/W2514183423","https://openalex.org/W2587540369","https://openalex.org/W2780564062","https://openalex.org/W2780861787","https://openalex.org/W2904311383","https://openalex.org/W2907088611","https://openalex.org/W2961348656","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2997074680","https://openalex.org/W3011990345","https://openalex.org/W3034630913","https://openalex.org/W3107636056","https://openalex.org/W3131902737","https://openalex.org/W3184257017","https://openalex.org/W4200635453","https://openalex.org/W4229019705","https://openalex.org/W4230888393","https://openalex.org/W4295312788","https://openalex.org/W4295884637","https://openalex.org/W4307639698","https://openalex.org/W4319300657","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6695314431","https://openalex.org/W6718356867","https://openalex.org/W6757634693","https://openalex.org/W6766978945","https://openalex.org/W6846893671"],"related_works":["https://openalex.org/W2086178285","https://openalex.org/W2268960646","https://openalex.org/W3184257017","https://openalex.org/W2532625028","https://openalex.org/W4214573895","https://openalex.org/W1581329577","https://openalex.org/W1992438193","https://openalex.org/W2115718877","https://openalex.org/W2067275498","https://openalex.org/W3102644505"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"unconstraint":[3],"iris":[4,31,80,86,129,152,159,186],"biometric":[5],"is":[6,63],"becoming":[7],"more":[8],"prevalent":[9],"due":[10],"to":[11,29,142,145,196,220,245],"its":[12],"wide":[13],"range":[14],"of":[15,34,68,89,253],"user":[16,23],"applications.":[17],"But":[18],"since":[19],"it":[20,25,249],"allows":[21],"less":[22,103],"co-operation,":[24],"presents":[26],"numerous":[27],"challenges":[28],"the":[30,50,57,61,69,84,97,133,158,164,170,175,199,213,217,222,235,254,259,263],"preprocessing":[32],"task":[33],"localisation":[35],"and":[36,66,147,149,182,232,242],"segmentation":[37],"(ILS).":[38],"To":[39,156],"address":[40,157],"these":[41,110],"challenges,":[42],"many":[43],"ILS":[44,73,122,218],"techniques":[45],"have":[46],"been":[47,56],"proposed":[48],"with":[49,92,109,234],"deep":[51,176],"learning":[52],"CNN":[53,62,71,77,99,120,166],"based":[54,72,121,167],"approaches":[55],"most":[58,67,252],"effective.":[59],"Training":[60],"data":[64,161],"intensive":[65],"existing":[70,98,165],"adopt":[74,174],"general":[75],"purpose":[76],"without":[78],"any":[79],"specific":[81,130,187],"guidance.":[82],"However,":[83],"available":[85],"dataset":[87],"comprises":[88],"small":[90],"subsets":[91],"labelled":[93],"images.":[94],"As":[95],"such,":[96],"models":[100,229,256],"can":[101,150],"be":[102,143,246],"effective":[104,247],"as":[105,248],"they":[106],"are":[107],"trained":[108,231],"dataset.":[111],"Hence,":[112],"in":[113,194,262],"this":[114],"paper,":[115],"we":[116,173,203],"propose":[117],"a":[118,184,205],"guided":[119],"technique":[123],"termed":[124],"IrisGuideNet":[125,136],"by":[126],"incorporating":[127],"known":[128],"heuristics":[131,188],"into":[132],"network":[134],"pipeline.":[135],"has":[137,243,250],"an":[138],"encoder-decoder":[139],"structure":[140],"designed":[141],"invariant":[144],"translation":[146],"rotation":[148],"capture":[151],"at":[153],"multiple":[154],"scales.":[155],"limited":[160],"problem,":[162],"unlike":[163],"ILS,":[168],"during":[169],"training":[171],"process,":[172],"supervision":[177],"technique,":[178],"employ":[179],"hybrid":[180],"losses":[181],"introduce":[183,204],"novel":[185,206],"named":[189],"Iris":[190,207],"Regularization":[191],"Term":[192],"(IRT)":[193],"other":[195],"effectively":[197],"train":[198],"network.":[200],"At":[201],"inference,":[202],"Infusion":[208],"Module":[209],"(IIM)":[210],"that":[211],"utilise":[212],"geometrical":[214],"relationships":[215],"between":[216],"outputs":[219,224],"refine":[221],"predicted":[223],"through":[225],"logical":[226],"operations.":[227],"Our":[228],"were":[230],"evaluated":[233],"recently":[236],"published":[237],"NIR-ISL":[238],"Challange":[239],"*":[240],"datasets":[241],"proven":[244],"outperformed":[251],"participating":[255],"across":[257],"all":[258],"database":[260],"categories":[261],"competition.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
