{"id":"https://openalex.org/W2998054657","doi":"https://doi.org/10.1109/tnnls.2019.2958061","title":"Relaxed Asymmetric Deep Hashing Learning: Point-to-Angle Matching","display_name":"Relaxed Asymmetric Deep Hashing Learning: Point-to-Angle Matching","publication_year":2019,"publication_date":"2019-12-31","ids":{"openalex":"https://openalex.org/W2998054657","doi":"https://doi.org/10.1109/tnnls.2019.2958061","mag":"2998054657","pmid":"https://pubmed.ncbi.nlm.nih.gov/31902779"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2019.2958061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2958061","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100753458","display_name":"Jinxing Li","orcid":"https://orcid.org/0000-0001-5156-0305"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinxing Li","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5156-0305","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048088901","display_name":"Bob Zhang","orcid":"https://orcid.org/0000-0003-2497-9519"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Bob Zhang","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0003-2497-9519","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030843117","display_name":"Guangming Lu","orcid":"https://orcid.org/0000-0003-1578-2634"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Lu","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1578-2634","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045562050","display_name":"Jane You","orcid":"https://orcid.org/0000-0002-8181-4836"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jane You","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-8181-4836","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359961","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0003-0530-2123"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-0530-2123","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029102289","display_name":"Feng Wu","orcid":"https://orcid.org/0000-0003-3989-0509"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wu","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325058","display_name":"David Zhang","orcid":"https://orcid.org/0000-0002-5027-5286"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"David Zhang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5027-5286","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100753458"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":0.919,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.799546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"31","issue":"11","first_page":"4791","last_page":"4805"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11439","display_name":"Video Analysis and Summarization","score":0.9934999942779541,"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/hamming-space","display_name":"Hamming space","score":0.774652361869812},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7475168108940125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6502681970596313},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.6229901313781738},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.6134771704673767},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5703684687614441},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5607433915138245},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5597063302993774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.501054048538208},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4986991882324219},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4771551489830017},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46982383728027344},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4467513859272003},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.429132878780365},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42442482709884644},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4241184890270233},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.3997642993927002},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23763346672058105},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08408379554748535},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.07670554518699646},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.07237392663955688}],"concepts":[{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.774652361869812},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7475168108940125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6502681970596313},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.6229901313781738},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.6134771704673767},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5703684687614441},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5607433915138245},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5597063302993774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.501054048538208},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4986991882324219},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4771551489830017},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46982383728027344},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4467513859272003},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.429132878780365},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42442482709884644},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4241184890270233},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.3997642993927002},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23763346672058105},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08408379554748535},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.07670554518699646},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.07237392663955688},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0},{"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2019.2958061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2958061","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:31902779","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31902779","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3292123670","display_name":null,"funder_award_id":"61602540","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G333909914","display_name":null,"funder_award_id":"61906162","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3652436631","display_name":null,"funder_award_id":"cqu2018CDHB1B04","funder_id":"https://openalex.org/F4320321135","funder_display_name":"Chongqing University"},{"id":"https://openalex.org/G4225603425","display_name":null,"funder_award_id":"2019CDYGZD001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4538061035","display_name":null,"funder_award_id":"2019M662198","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4686370015","display_name":null,"funder_award_id":"GJHZ20180419190732022","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"},{"id":"https://openalex.org/G4687219212","display_name":null,"funder_award_id":"2019TQ0316","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6425062833","display_name":null,"funder_award_id":"JCYJ20170811155442454","funder_id":"https://openalex.org/F4320335803","funder_display_name":"Shenzhen Fundamental Research and Discipline Layout project"},{"id":"https://openalex.org/G6518326340","display_name":null,"funder_award_id":"61773080","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6736450896","display_name":null,"funder_award_id":"JCYJ20180306172023949","funder_id":"https://openalex.org/F4320335803","funder_display_name":"Shenzhen Fundamental Research and Discipline Layout project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321135","display_name":"Chongqing University","ror":"https://ror.org/023rhb549"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320326705","display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320335803","display_name":"Shenzhen Fundamental Research and Discipline Layout project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1910300841","https://openalex.org/W1923967535","https://openalex.org/W1951304353","https://openalex.org/W1956333070","https://openalex.org/W1963882359","https://openalex.org/W1974647172","https://openalex.org/W1992371516","https://openalex.org/W2006147162","https://openalex.org/W2007972815","https://openalex.org/W2012833704","https://openalex.org/W2034865485","https://openalex.org/W2040918046","https://openalex.org/W2053229256","https://openalex.org/W2075547840","https://openalex.org/W2132069633","https://openalex.org/W2142881874","https://openalex.org/W2145962650","https://openalex.org/W2153273131","https://openalex.org/W2154624311","https://openalex.org/W2155803963","https://openalex.org/W2162006472","https://openalex.org/W2163605009","https://openalex.org/W2171790913","https://openalex.org/W2251864938","https://openalex.org/W2266728343","https://openalex.org/W2292992741","https://openalex.org/W2293597654","https://openalex.org/W2293824885","https://openalex.org/W2342543219","https://openalex.org/W2402125293","https://openalex.org/W2408177717","https://openalex.org/W2411707397","https://openalex.org/W2464915613","https://openalex.org/W2508837377","https://openalex.org/W2510911086","https://openalex.org/W2593190442","https://openalex.org/W2604394529","https://openalex.org/W2739103128","https://openalex.org/W2741530248","https://openalex.org/W2752930373","https://openalex.org/W2765178306","https://openalex.org/W2766724094","https://openalex.org/W2781787169","https://openalex.org/W2781821509","https://openalex.org/W2944322242","https://openalex.org/W2962786441","https://openalex.org/W2963173190","https://openalex.org/W2963374468","https://openalex.org/W2963398644","https://openalex.org/W2963553337","https://openalex.org/W3103722964","https://openalex.org/W3118608800","https://openalex.org/W4230940751","https://openalex.org/W6629956336","https://openalex.org/W6640412524","https://openalex.org/W6648560114","https://openalex.org/W6679663036","https://openalex.org/W6681077227","https://openalex.org/W6684191040","https://openalex.org/W6688152296","https://openalex.org/W6691474080","https://openalex.org/W6693341220","https://openalex.org/W6696527261","https://openalex.org/W6696891034","https://openalex.org/W6697060382","https://openalex.org/W6697214482","https://openalex.org/W6712733126","https://openalex.org/W6714263872","https://openalex.org/W6725199262","https://openalex.org/W6725774388","https://openalex.org/W6736114314","https://openalex.org/W6741481310","https://openalex.org/W6762534840","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2371167013","https://openalex.org/W2613408642","https://openalex.org/W2182731056","https://openalex.org/W2772529866","https://openalex.org/W1519122282","https://openalex.org/W1993530675","https://openalex.org/W4235868261","https://openalex.org/W2036753599","https://openalex.org/W2170314267","https://openalex.org/W2140899540"],"abstract_inverted_index":{"Due":[0],"to":[1,58,68,96,107,110,174,197],"the":[2,6,24,51,71,76,80,93,105,117,126,130,134,141,149,164,190,198,201],"powerful":[3],"capability":[4],"of":[5,23,56,194,200],"data":[7,187],"representation,":[8],"deep":[9,45,178],"learning":[10],"has":[11],"achieved":[12],"a":[13,43,59,154,161],"remarkable":[14],"performance":[15],"in":[16,92],"supervised":[17,46],"hash":[18],"function":[19],"learning.":[20],"However,":[21],"most":[22],"existing":[25,85],"hashing":[26,47],"methods":[27,86],"focus":[28],"on":[29,184],"point-to-point":[30],"matching":[31,52],"that":[32,87],"is":[33,66,171],"too":[34],"strict":[35],"and":[36,73,79,129,166,180,192],"unnecessary.":[37],"In":[38],"this":[39],"article,":[40],"we":[41,102,152],"propose":[42,153],"novel":[44,155],"method":[48],"by":[49],"relaxing":[50],"between":[53,75],"each":[54,90],"pair":[55],"instances":[57],"point-to-angle":[60],"way.":[61],"Specifically,":[62],"an":[63],"inner":[64],"product":[65,121],"introduced":[67],"asymmetrically":[69],"measure":[70],"similarity":[72],"dissimilarity":[74],"real-valued":[77,94,127],"output":[78,95,106,128,142],"binary":[81,114,131,181],"code.":[82],"Different":[83],"from":[84],"strictly":[88],"enforce":[89],"element":[91],"be":[97,108],"either":[98],"+1":[99],"or":[100],"-1,":[101],"only":[103,123],"encourage":[104],"close":[109],"its":[111],"corresponding":[112],"semantic-related":[113],"code":[115,132],"under":[116],"cross-angle.":[118],"This":[119],"asymmetric":[120],"not":[122],"projects":[124],"both":[125],"into":[133],"same":[135],"Hamming":[136],"space":[137],"but":[138],"also":[139],"relaxes":[140],"with":[143],"wider":[144],"choices.":[145],"To":[146],"further":[147],"exploit":[148],"semantic":[150],"affinity,":[151],"Hamming-distance-based":[156],"triplet":[157],"loss,":[158],"efficiently":[159],"making":[160],"ranking":[162],"for":[163],"positive":[165],"negative":[167],"pairs.":[168],"An":[169],"algorithm":[170],"then":[172],"designed":[173],"alternatively":[175],"achieve":[176],"optimal":[177],"features":[179],"codes.":[182],"Experiments":[183],"four":[185],"real-world":[186],"sets":[188],"demonstrate":[189],"effectiveness":[191],"superiority":[193],"our":[195],"approach":[196],"state":[199],"art.":[202]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}