{"id":"https://openalex.org/W3214760783","doi":"https://doi.org/10.1109/access.2021.3131805","title":"Accent for Visible and Infrared Registration (AVIR): Attention Block for Increasing Patch Matching Rate Through Edge Emphasis","display_name":"Accent for Visible and Infrared Registration (AVIR): Attention Block for Increasing Patch Matching Rate Through Edge Emphasis","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3214760783","doi":"https://doi.org/10.1109/access.2021.3131805","mag":"3214760783"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3131805","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3131805","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09631245.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09631245.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080775629","display_name":"Inho Park","orcid":"https://orcid.org/0000-0001-6621-2629"},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Inho Park","raw_affiliation_strings":["Dept. of Electronic Engineering, Yeungnam University, 280 Daehak-Ro Gyeongsan-si Gyeongsangbuk-do, 38541, South Korea. (e-mail: inho3215@yu.ac.kr)","Dept. of Electronic Engineering, Yeungnam University, 280 Daehak-Ro Gyeongsan-si Gyeongsangbuk-do, 38541, South Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic Engineering, Yeungnam University, 280 Daehak-Ro Gyeongsan-si Gyeongsangbuk-do, 38541, South Korea. (e-mail: inho3215@yu.ac.kr)","institution_ids":["https://openalex.org/I55240360"]},{"raw_affiliation_string":"Dept. of Electronic Engineering, Yeungnam University, 280 Daehak-Ro Gyeongsan-si Gyeongsangbuk-do, 38541, South Korea","institution_ids":["https://openalex.org/I55240360"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001270336","display_name":"Jongmin Jeong","orcid":"https://orcid.org/0000-0003-0676-8347"},"institutions":[{"id":"https://openalex.org/I2801036362","display_name":"Agency for Defense Development","ror":"https://ror.org/05fhe0r85","country_code":"KR","type":"government","lineage":["https://openalex.org/I1327899338","https://openalex.org/I1344042128","https://openalex.org/I2801036362","https://openalex.org/I2801339556"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongmin Jeong","raw_affiliation_strings":["Agency for Defense Development, 111 Sunam-dong, Daejeon, 34186, South Korea"],"affiliations":[{"raw_affiliation_string":"Agency for Defense Development, 111 Sunam-dong, Daejeon, 34186, South Korea","institution_ids":["https://openalex.org/I2801036362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100619134","display_name":"Sungho Kim","orcid":"https://orcid.org/0000-0002-5401-2459"},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungho Kim","raw_affiliation_strings":["Dept. of Electronic Engineering, Yeungnam University, 280 Daehak-Ro Gyeongsan-si Gyeongsangbuk-do, 38541, South Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic Engineering, Yeungnam University, 280 Daehak-Ro Gyeongsan-si Gyeongsangbuk-do, 38541, South Korea","institution_ids":["https://openalex.org/I55240360"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080775629"],"corresponding_institution_ids":["https://openalex.org/I55240360"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0704,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92822104,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"160661","last_page":"160674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9993000030517578,"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":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9988999962806702,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987000226974487,"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":0.8186268210411072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7079375982284546},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6164261102676392},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5940985083580017},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5730177164077759},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5489823818206787},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5150241851806641},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5112502574920654},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.45959270000457764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3996395766735077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08323994278907776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8186268210411072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7079375982284546},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6164261102676392},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5940985083580017},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5730177164077759},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5489823818206787},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5150241851806641},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5112502574920654},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.45959270000457764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3996395766735077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08323994278907776},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3131805","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3131805","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09631245.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ec58c41d981e4260959049214206e9a2","is_oa":true,"landing_page_url":"https://doaj.org/article/ec58c41d981e4260959049214206e9a2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 160661-160674 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3131805","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3131805","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09631245.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1575656471","display_name":null,"funder_award_id":"(UD190031RD)","funder_id":"https://openalex.org/F4320334874","funder_display_name":"Defense Acquisition Program Administration"},{"id":"https://openalex.org/G1818496470","display_name":null,"funder_award_id":"UD190031RD","funder_id":"https://openalex.org/F4320323103","funder_display_name":"Agency for Defense Development"},{"id":"https://openalex.org/G2740687315","display_name":null,"funder_award_id":"UD190031RD","funder_id":"https://openalex.org/F4320334874","funder_display_name":"Defense Acquisition Program Administration"},{"id":"https://openalex.org/G5545540234","display_name":null,"funder_award_id":"P0008473","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"},{"id":"https://openalex.org/G6502405685","display_name":null,"funder_award_id":"P0008473","funder_id":"https://openalex.org/F4320322064","funder_display_name":"Korea Institute for Advancement of Technology"},{"id":"https://openalex.org/G693547744","display_name":null,"funder_award_id":"UD200005F","funder_id":"https://openalex.org/F4320323103","funder_display_name":"Agency for Defense Development"},{"id":"https://openalex.org/G889103765","display_name":null,"funder_award_id":"MOTIE","funder_id":"https://openalex.org/F4320322064","funder_display_name":"Korea Institute for Advancement of Technology"},{"id":"https://openalex.org/G992484961","display_name":null,"funder_award_id":"Korea","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"}],"funders":[{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322064","display_name":"Korea Institute for Advancement of Technology","ror":"https://ror.org/015w1qa96"},{"id":"https://openalex.org/F4320323103","display_name":"Agency for Defense Development","ror":"https://ror.org/05fhe0r85"},{"id":"https://openalex.org/F4320334874","display_name":"Defense Acquisition Program Administration","ror":"https://ror.org/04bjg9m96"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3214760783.pdf","grobid_xml":"https://content.openalex.org/works/W3214760783.grobid-xml"},"referenced_works_count":80,"referenced_works":["https://openalex.org/W210560542","https://openalex.org/W1533861849","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1929856797","https://openalex.org/W1955055330","https://openalex.org/W1959000896","https://openalex.org/W1972731536","https://openalex.org/W2039094769","https://openalex.org/W2050436472","https://openalex.org/W2059905564","https://openalex.org/W2112796928","https://openalex.org/W2144041313","https://openalex.org/W2194775991","https://openalex.org/W2293670510","https://openalex.org/W2336389177","https://openalex.org/W2468674378","https://openalex.org/W2549139847","https://openalex.org/W2559871160","https://openalex.org/W2560687958","https://openalex.org/W2589547048","https://openalex.org/W2596901677","https://openalex.org/W2613262006","https://openalex.org/W2625291004","https://openalex.org/W2724359148","https://openalex.org/W2752782242","https://openalex.org/W2781778455","https://openalex.org/W2791873954","https://openalex.org/W2798987894","https://openalex.org/W2866634454","https://openalex.org/W2884585870","https://openalex.org/W2890222793","https://openalex.org/W2891529090","https://openalex.org/W2908510526","https://openalex.org/W2914661773","https://openalex.org/W2948182274","https://openalex.org/W2951060728","https://openalex.org/W2955425717","https://openalex.org/W2962858109","https://openalex.org/W2963263347","https://openalex.org/W2963446712","https://openalex.org/W2963495494","https://openalex.org/W2963530785","https://openalex.org/W2963986095","https://openalex.org/W2990566162","https://openalex.org/W2991050648","https://openalex.org/W2996444841","https://openalex.org/W3042011474","https://openalex.org/W3046953077","https://openalex.org/W3048123412","https://openalex.org/W3097217077","https://openalex.org/W3105639468","https://openalex.org/W3118608800","https://openalex.org/W3138516171","https://openalex.org/W3155545305","https://openalex.org/W3163592250","https://openalex.org/W3167671080","https://openalex.org/W3172942063","https://openalex.org/W4289361957","https://openalex.org/W4297775537","https://openalex.org/W4297810817","https://openalex.org/W6608479128","https://openalex.org/W6631943919","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6640083356","https://openalex.org/W6681212791","https://openalex.org/W6696973050","https://openalex.org/W6726497184","https://openalex.org/W6737664043","https://openalex.org/W6740164494","https://openalex.org/W6740474667","https://openalex.org/W6753038380","https://openalex.org/W6757817989","https://openalex.org/W6762718338","https://openalex.org/W6775298725","https://openalex.org/W6775876232","https://openalex.org/W6792155083","https://openalex.org/W6797602710"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4391621807","https://openalex.org/W2611989081","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W2099811626"],"abstract_inverted_index":{"In":[0],"this":[1,92,211],"paper,":[2],"we":[3,190],"propose":[4],"an":[5,214],"efficient":[6,125],"attention":[7,43,126,147,216],"module":[8,44,132,148],"for":[9,66,105,116,124,177],"visible":[10,180,197],"and":[11,36,139,153,160,163,181,198],"thermal":[12],"infrared":[13],"(TIR)":[14],"matching":[15,29,39,73,222],"deep":[16,33,112,174],"learning":[17,34,113,175],"networks.":[18],"This":[19,49],"method":[20],"judges":[21],"the":[22,31,38,42,46,72,102,119,131,140,187,192,208],"right":[23],"or":[24],"wrong":[25],"of":[26,86,136,195,227],"heterogeneous":[27,67,81,106],"sensor":[28,68,82,107],"through":[30,41],"proposed":[32],"model":[35,176],"increases":[37],"rate":[40],"using":[45,167,207],"edge-utilizing":[47],"structure.":[48],"paper":[50,93,212],"contributes":[51],"to":[52,157],"three":[53],"aspects:":[54],"1)":[55],"The":[56,128,146,170],"first":[57],"aspect":[58],"is":[59,97,121,172],"Convolutional":[60],"Neural":[61],"Network":[62],"(CNN)":[63],"structure":[64],"comparisons":[65],"registration.":[69,184],"We":[70],"consider":[71],"network":[74,103],"as":[75],"a":[76,87,122,150,154,204],"classification":[77],"problem":[78],"when":[79],"stacked":[80],"data":[83,183,200],"become":[84],"input":[85],"single":[88],"CNN":[89],"network.":[90],"Therefore,":[91],"shows":[94,220],"result":[95],"that":[96,219],"related":[98],"with":[99,224],"not":[100],"only":[101],"designed":[104],"matching,":[108],"but":[109],"also":[110],"various":[111,188],"networks":[114],"used":[115],"classification.":[117],"2)":[118],"second":[120],"consideration":[123],"module.":[127],"experiments":[129],"show":[130],"can":[133],"replace":[134],"lots":[135],"convolution":[137],"blocks":[138],"results":[141,223],"achieve":[142],"more":[143],"better":[144],"performance.":[145],"uses":[149],"1\u00d7k":[151],"filter":[152,156],"k\u00d71":[155],"extract":[158],"horizontal":[159],"vertical":[161],"edges":[162],"convolves":[164],"two":[165],"paths":[166],"them.":[168],"3)":[169],"third":[171],"suitable":[173],"aerial":[178,196],"complex":[179],"TIR":[182,199],"To":[185],"compare":[186],"methods,":[189],"describe":[191],"calibration":[193],"process":[194],"obtained":[201],"directly":[202],"from":[203],"drone.":[205],"By":[206],"calibrated":[209],"data,":[210],"presents":[213],"AVIR":[215],"block-based":[217],"architecture":[218],"optimal":[221],"minimal":[225],"addition":[226],"parameters.":[228]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
