{"id":"https://openalex.org/W3163357200","doi":"https://doi.org/10.1109/icassp39728.2021.9415018","title":"Canet: Context-Aware Loss for Descriptor Learning","display_name":"Canet: Context-Aware Loss for Descriptor Learning","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3163357200","doi":"https://doi.org/10.1109/icassp39728.2021.9415018","mag":"3163357200"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9415018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9415018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101709430","display_name":"Tianyou Chen","orcid":"https://orcid.org/0000-0002-7107-1004"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]},{"id":"https://openalex.org/I4392738276","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":"https://ror.org/0009eea46","country_code":null,"type":"facility","lineage":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianyou Chen","raw_affiliation_strings":["Beihang University,School of Automation Science and Electrical Engineering,State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Automation Science and Electrical Engineering,State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672","https://openalex.org/I4392738276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602787","display_name":"Xiaoguang Hu","orcid":"https://orcid.org/0000-0002-8092-6246"},"institutions":[{"id":"https://openalex.org/I4392738276","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":"https://ror.org/0009eea46","country_code":null,"type":"facility","lineage":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguang Hu","raw_affiliation_strings":["Beihang University,School of Automation Science and Electrical Engineering,State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Automation Science and Electrical Engineering,State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672","https://openalex.org/I4392738276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039890630","display_name":"Jin Xiao","orcid":"https://orcid.org/0000-0003-2462-4996"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]},{"id":"https://openalex.org/I4392738276","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":"https://ror.org/0009eea46","country_code":null,"type":"facility","lineage":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Xiao","raw_affiliation_strings":["Beihang University,School of Automation Science and Electrical Engineering,State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Automation Science and Electrical Engineering,State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672","https://openalex.org/I4392738276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048043645","display_name":"Guo\u2010Feng Zhang","orcid":"https://orcid.org/0000-0001-8869-4868"},"institutions":[{"id":"https://openalex.org/I4392738276","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":"https://ror.org/0009eea46","country_code":null,"type":"facility","lineage":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guofeng Zhang","raw_affiliation_strings":["Beihang University,School of Automation Science and Electrical Engineering,State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Automation Science and Electrical Engineering,State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672","https://openalex.org/I4392738276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000816296","display_name":"Hui Ruan","orcid":"https://orcid.org/0000-0003-4897-9679"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]},{"id":"https://openalex.org/I4392738276","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":"https://ror.org/0009eea46","country_code":null,"type":"facility","lineage":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Ruan","raw_affiliation_strings":["Beihang University,School of Automation Science and Electrical Engineering,State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Automation Science and Electrical Engineering,State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672","https://openalex.org/I4392738276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101709430"],"corresponding_institution_ids":["https://openalex.org/I4392738276","https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36367647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"39","issue":null,"first_page":"2760","last_page":"2764"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9957000017166138,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.8517312407493591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8279754519462585},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7268412113189697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6142396926879883},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5716890692710876},{"id":"https://openalex.org/keywords/information-loss","display_name":"Information loss","score":0.5508537292480469},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5427761673927307},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5139095783233643},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4782370924949646},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44663330912590027},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4415885806083679},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41073575615882874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06133422255516052}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.8517312407493591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8279754519462585},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7268412113189697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6142396926879883},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5716890692710876},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.5508537292480469},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5427761673927307},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5139095783233643},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4782370924949646},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44663330912590027},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4415885806083679},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41073575615882874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06133422255516052},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9415018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9415018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W639708223","https://openalex.org/W1587878450","https://openalex.org/W1869500417","https://openalex.org/W1929856797","https://openalex.org/W2089888558","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2124404372","https://openalex.org/W2151103935","https://openalex.org/W2171590421","https://openalex.org/W2177274842","https://openalex.org/W2336302573","https://openalex.org/W2343970360","https://openalex.org/W2471962767","https://openalex.org/W2612112834","https://openalex.org/W2737260104","https://openalex.org/W2794809894","https://openalex.org/W2888627508","https://openalex.org/W2962708773","https://openalex.org/W2963125676","https://openalex.org/W2963150697","https://openalex.org/W2963157250","https://openalex.org/W2963284197","https://openalex.org/W2963713828","https://openalex.org/W2973665503","https://openalex.org/W6618372016","https://openalex.org/W6640083356","https://openalex.org/W6766667439"],"related_works":["https://openalex.org/W4312200629","https://openalex.org/W4223943233","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W4309045103","https://openalex.org/W4225161397","https://openalex.org/W3014300295","https://openalex.org/W3164822677","https://openalex.org/W2773120646","https://openalex.org/W4250304930"],"abstract_inverted_index":{"Research":[0],"on":[1],"designing":[2],"local":[3,22],"feature":[4],"descriptors":[5,51],"has":[6],"gradually":[7],"shifted":[8],"to":[9,80,85],"deep":[10],"learning.":[11],"Different":[12],"from":[13],"other":[14],"computer":[15],"vision":[16],"tasks,":[17],"the":[18,27,35,46,49,57,68,90],"biggest":[19],"challenge":[20],"for":[21],"descriptor":[23,98],"learning":[24],"lies":[25],"with":[26],"formulation":[28],"of":[29,48],"loss":[30,40,43,61,64,78,92],"functions.":[31],"Existing":[32],"methods":[33],"solve":[34],"problem":[36],"by":[37,52],"leveraging":[38],"Siamese":[39,60],"or":[41],"triplet":[42,63],"and":[44,62,107],"improve":[45],"performance":[47,101],"learned":[50,97],"a":[53,76],"significant":[54],"margin.":[55],"However,":[56],"widely":[58],"used":[59],"cannot":[65],"fully":[66],"utilize":[67],"context":[69,83],"information.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74],"propose":[75],"novel":[77],"function":[79,93],"introduce":[81],"more":[82],"information":[84],"facilitate":[86],"training.":[87],"After":[88],"incorporating":[89],"proposed":[91],"into":[94],"training,":[95],"our":[96],"demonstrates":[99],"state-of-the-art":[100],"in":[102],"patch":[103,108],"verification,":[104],"image":[105],"matching":[106],"retrieval":[109],"benchmarks.":[110],"The":[111],"pretrained":[112],"model":[113],"will":[114],"be":[115],"publicly":[116],"available":[117],"at":[118],"https://github.com/clelouch/CANet.":[119]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
