{"id":"https://openalex.org/W3197746432","doi":"https://doi.org/10.1109/rcar52367.2021.9517409","title":"Self-supervised Feature Detection and Binary Description in Hamming Space for Mobile Platforms","display_name":"Self-supervised Feature Detection and Binary Description in Hamming Space for Mobile Platforms","publication_year":2021,"publication_date":"2021-07-15","ids":{"openalex":"https://openalex.org/W3197746432","doi":"https://doi.org/10.1109/rcar52367.2021.9517409","mag":"3197746432"},"language":"en","primary_location":{"id":"doi:10.1109/rcar52367.2021.9517409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar52367.2021.9517409","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 Real-time Computing and Robotics (RCAR)","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/A5101953092","display_name":"Shenghao Li","orcid":"https://orcid.org/0000-0002-8968-7333"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shenghao Li","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047790139","display_name":"Guibao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guibao Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012968999","display_name":"Qunfei Zhao","orcid":"https://orcid.org/0000-0002-9882-730X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qunfei Zhao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101953092"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1078268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6314","issue":null,"first_page":"45","last_page":"50"},"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":1.0,"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":1.0,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9969000220298767,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.996399998664856,"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":0.7683440446853638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6865578293800354},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5889812707901001},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5859410762786865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5675415396690369},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.5566476583480835},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.545266330242157},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4931461215019226},{"id":"https://openalex.org/keywords/hamming-space","display_name":"Hamming space","score":0.49206870794296265},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.45748060941696167},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.4483746290206909},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44293156266212463},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.412364661693573},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38048285245895386},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.3311353921890259},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.3181474208831787},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.24569088220596313},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1745859980583191},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.13258767127990723},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13039067387580872},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.0889660120010376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7683440446853638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6865578293800354},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5889812707901001},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5859410762786865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5675415396690369},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.5566476583480835},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.545266330242157},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4931461215019226},{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.49206870794296265},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.45748060941696167},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.4483746290206909},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44293156266212463},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.412364661693573},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38048285245895386},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.3311353921890259},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3181474208831787},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.24569088220596313},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1745859980583191},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.13258767127990723},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13039067387580872},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0889660120010376},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar52367.2021.9517409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar52367.2021.9517409","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 Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1491719799","https://openalex.org/W1532362218","https://openalex.org/W1612997784","https://openalex.org/W1861492603","https://openalex.org/W1974647172","https://openalex.org/W2012592962","https://openalex.org/W2021851106","https://openalex.org/W2044195942","https://openalex.org/W2115579991","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2151103935","https://openalex.org/W2435623039","https://openalex.org/W2461086877","https://openalex.org/W2738401084","https://openalex.org/W2884088147","https://openalex.org/W2950974964","https://openalex.org/W2960033181","https://openalex.org/W2963125010","https://openalex.org/W2963748588","https://openalex.org/W2979458572","https://openalex.org/W3043075211","https://openalex.org/W3103648783","https://openalex.org/W3105885503","https://openalex.org/W4297779075","https://openalex.org/W6639102338","https://openalex.org/W6677308130","https://openalex.org/W6740474667","https://openalex.org/W6742151855","https://openalex.org/W6764386301"],"related_works":["https://openalex.org/W1993530675","https://openalex.org/W2371167013","https://openalex.org/W2182731056","https://openalex.org/W2613408642","https://openalex.org/W2981938443","https://openalex.org/W4235868261","https://openalex.org/W1519122282","https://openalex.org/W1503555387","https://openalex.org/W2170314267","https://openalex.org/W4316170991"],"abstract_inverted_index":{"Local":[0],"features":[1,28,69,105],"are":[2,29],"essential":[3],"for":[4,58,83,135],"fundamental":[5],"visual":[6,11,150],"tasks,":[7],"e.g.,":[8],"image":[9,147],"matching,":[10],"localization,":[12],"etc.":[13],"In":[14],"recent":[15],"researches,":[16],"learning-based":[17],"feature":[18,59],"detection":[19],"and":[20,34,42,61,86,101,111,127,141,149],"description":[21],"methods":[22],"demonstrate":[23],"remarkable":[24],"performance.":[25],"The":[26,130],"extracted":[27,104],"represented":[30],"as":[31,96],"float":[32],"data":[33],"matched":[35],"in":[36,45,145],"Euclidean":[37],"space,":[38],"leading":[39],"to":[40,66,79,107,121],"calculation":[41,112],"memory":[43,110],"burden":[44],"applications":[46],"on":[47,138],"resource-limited":[48],"mobile":[49],"platforms.":[50],"This":[51],"paper":[52],"proposes":[53],"a":[54,62,117,123],"single-input":[55],"multi-output":[56],"model":[57,82],"extraction":[60],"descriptor":[63,94],"quantization":[64,95],"approach":[65],"embedding":[67],"the":[68,81,93,103,109,146],"into":[70],"Hamming":[71],"space.":[72],"A":[73],"self-supervised":[74],"learning":[75],"strategy":[76],"is":[77,133],"designed":[78],"train":[80],"high":[84],"repeatability":[85],"matching":[87,148],"robustness":[88],"first.":[89],"Then":[90],"we":[91],"implement":[92],"an":[97],"iterative":[98],"hashing":[99],"procedure":[100],"quantize":[102],"offline":[106],"reduce":[108],"demands.":[113],"We":[114],"also":[115],"provide":[116],"dimensionality":[118],"reduction":[119],"process":[120],"make":[122],"trade-off":[124],"between":[125],"performance":[126],"resource":[128],"limitation.":[129],"proposed":[131],"method":[132],"suitable":[134],"feature-related":[136],"tasks":[137],"hardware-limited":[139],"platforms":[140],"achieved":[142],"convincing":[143],"results":[144],"localization":[151],"benchmarks.":[152]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}