{"id":"https://openalex.org/W3196216371","doi":"https://doi.org/10.1109/icip42928.2021.9506519","title":"Deep Reinforcement Image Matching with Self-Termination","display_name":"Deep Reinforcement Image Matching with Self-Termination","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3196216371","doi":"https://doi.org/10.1109/icip42928.2021.9506519","mag":"3196216371"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5091298991","display_name":"Onkar Krishna","orcid":"https://orcid.org/0000-0001-6227-7484"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Onkar Krishna","raw_affiliation_strings":["NTT Corporation,NTT Communication Science Laboratories,Japan","NTT Communication Science Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Communication Science Laboratories,Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017607351","display_name":"Go Irie","orcid":"https://orcid.org/0000-0002-4309-4700"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Go Irie","raw_affiliation_strings":["NTT Corporation,NTT Communication Science Laboratories,Japan","NTT Communication Science Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Communication Science Laboratories,Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036223449","display_name":"Xiaomeng Wu","orcid":"https://orcid.org/0000-0003-2816-1781"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiaomeng Wu","raw_affiliation_strings":["NTT Corporation,NTT Communication Science Laboratories,Japan","NTT Communication Science Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Communication Science Laboratories,Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102267134","display_name":"Akisato Kimura","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akisato Kimura","raw_affiliation_strings":["NTT Corporation,NTT Communication Science Laboratories,Japan","NTT Communication Science Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Communication Science Laboratories,Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061465935","display_name":"Kunio Kashino","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kunio Kashino","raw_affiliation_strings":["NTT Corporation,NTT Communication Science Laboratories,Japan","NTT Communication Science Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Communication Science Laboratories,Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091298991"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39045752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1254","last_page":"1258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9979000091552734,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.850226640701294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7895219326019287},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7345390319824219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.699485182762146},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6436589956283569},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5244696140289307},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4761597812175751},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.46966445446014404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.468691349029541},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41412419080734253},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40091657638549805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08705833554267883},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0596640408039093}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.850226640701294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7895219326019287},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7345390319824219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.699485182762146},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6436589956283569},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5244696140289307},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4761597812175751},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.46966445446014404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.468691349029541},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41412419080734253},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40091657638549805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08705833554267883},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0596640408039093},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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/icip42928.2021.9506519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1484210532","https://openalex.org/W1869500417","https://openalex.org/W1913744585","https://openalex.org/W1980972548","https://openalex.org/W2126348827","https://openalex.org/W2320444803","https://openalex.org/W2604233003","https://openalex.org/W2613030841","https://openalex.org/W2807968599","https://openalex.org/W2897093986","https://openalex.org/W2922163742","https://openalex.org/W2936813134","https://openalex.org/W2963321993","https://openalex.org/W2963674285","https://openalex.org/W2964157791","https://openalex.org/W3098206880","https://openalex.org/W6628927728"],"related_works":["https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W2920061524","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588","https://openalex.org/W2086122291","https://openalex.org/W1987513656"],"abstract_inverted_index":{"Deep":[0],"reinforcement":[1,123],"learning-based":[2],"image":[3,14,72,105],"matching":[4,73,79,151],"sequentially":[5],"searches":[6],"only":[7],"the":[8,12,17,42,56,78,95,100,104,108,133,136,158],"promising":[9],"regions":[10],"in":[11,118],"reference":[13,97],"that":[15,75,92,125,142],"match":[16],"query,":[18],"leading":[19],"to":[20,28,39,53,87,131],"a":[21,70,89,119,127],"significantly":[22],"small":[23],"number":[24,59],"of":[25,60,121,135],"steps":[26,62,156],"compared":[27],"traditional":[29],"methods.":[30,160],"Since":[31],"existing":[32,159],"methods":[33],"do":[34],"not":[35],"have":[36,88],"any":[37],"function":[38,130],"judge":[40],"whether":[41,94],"target":[43],"region":[44,98],"has":[45],"been":[46],"successfully":[47],"identified":[48],"or":[49,149],"not,":[50],"they":[51],"continue":[52],"search":[54,61,109,155],"until":[55],"preset":[57],"maximum":[58],"is":[63,85,114],"reached.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68],"propose":[69],"deep":[71,122],"network":[74,84,113],"can":[76,145],"terminate":[77],"process":[80],"by":[81],"itself.":[82],"Our":[83],"designed":[86],"halting":[90],"module":[91],"identifies":[93],"current":[96],"matches":[99],"query":[101],"based":[102],"on":[103],"features":[106],"and":[107],"history.":[110],"The":[111],"entire":[112],"effectively":[115],"trained":[116],"end-to-end":[117],"framework":[120],"learning":[124],"incorporates":[126],"new":[128],"loss":[129],"evaluate":[132],"accuracy":[134,152],"termination":[137],"decision.":[138],"Experimental":[139],"results":[140],"demonstrate":[141],"our":[143],"method":[144],"achieve":[146],"highly":[147],"competitive":[148],"better":[150],"with":[153],"fewer":[154],"than":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}