{"id":"https://openalex.org/W3119830102","doi":"https://doi.org/10.1109/wacv48630.2021.00094","title":"Learning to Distill Convolutional Features into Compact Local Descriptors","display_name":"Learning to Distill Convolutional Features into Compact Local Descriptors","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3119830102","doi":"https://doi.org/10.1109/wacv48630.2021.00094","mag":"3119830102"},"language":"en","primary_location":{"id":"doi:10.1109/wacv48630.2021.00094","doi":"https://doi.org/10.1109/wacv48630.2021.00094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv48630.2021.00094","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5100382870","display_name":"Jong\u2010Min Lee","orcid":"https://orcid.org/0000-0002-3598-376X","observed_orcids":["https://orcid.org/0000-0002-3598-376X"]},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongmin Lee","raw_affiliation_strings":["POSTECH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"POSTECH","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063733873","display_name":"Yoonwoo Jeong","orcid":"https://orcid.org/0009-0004-8356-9688","observed_orcids":["https://orcid.org/0009-0004-8356-9688"]},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yoonwoo Jeong","raw_affiliation_strings":["POSTECH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"POSTECH","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101916177","display_name":"Seungwook Kim","orcid":"https://orcid.org/0000-0003-4178-772X","observed_orcids":["https://orcid.org/0000-0003-4178-772X"]},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungwook Kim","raw_affiliation_strings":["POSTECH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"POSTECH","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020055570","display_name":"Juhong Min","orcid":"https://orcid.org/0000-0001-7583-0867","observed_orcids":["https://orcid.org/0000-0001-7583-0867"]},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Juhong Min","raw_affiliation_strings":["POSTECH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"POSTECH","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101998656","display_name":"Minsu Cho","orcid":"https://orcid.org/0000-0001-7030-1958","observed_orcids":["https://orcid.org/0000-0001-7030-1958"]},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minsu Cho","raw_affiliation_strings":["POSTECH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"POSTECH","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":null,"apc_paid":null,"fwci":0.6201,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76000364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"897","last_page":"907"},"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":0.9980000257492065,"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":0.9980000257492065,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.0006000000284984708,"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":0.0003000000142492354,"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/local-descriptors","display_name":"local descriptors","score":0.9160000085830688},{"id":"https://openalex.org/keywords/descriptor-compression","display_name":"descriptor compression","score":0.6909999847412109},{"id":"https://openalex.org/keywords/knowledge-distillation","display_name":"knowledge distillation","score":0.847000002861023},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8360000252723694},{"id":"https://openalex.org/keywords/image-matching","display_name":"image matching","score":0.7739999890327454},{"id":"https://openalex.org/keywords/semantic-correspondence","display_name":"semantic correspondence","score":0.949999988079071},{"id":"https://openalex.org/keywords/wide-baseline-matching","display_name":"wide baseline matching","score":0.7139999866485596},{"id":"https://openalex.org/keywords/visual-localization","display_name":"visual localization","score":0.9909999966621399}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263984680175781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.724806547164917},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7054529786109924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6882022619247437},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6561794877052307},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6339793801307678},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5159419178962708},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.49597153067588806},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48717421293258667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4593636393547058},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41455233097076416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17549335956573486},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wacv48630.2021.00094","doi":"https://doi.org/10.1109/wacv48630.2021.00094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv48630.2021.00094","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:oasis.postech.ac.kr:2014.oak/104504","doi":null,"is_oa":false,"landing_page_url":"https://oasis.postech.ac.kr/handle/2014.oak/104504","pdf_url":null,"source":{"id":"https://openalex.org/S4306401965","display_name":"Open Access System for Information Sharing (Pohang University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I123900574","host_organization_name":"Pohang University of Science and Technology","host_organization_lineage":["https://openalex.org/I123900574"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference"},{"id":"pmh:oai:oasis.postech.ac.kr:2014.oak/109473","doi":null,"is_oa":false,"landing_page_url":"https://oasis.postech.ac.kr/handle/2014.oak/109473","pdf_url":null,"source":{"id":"https://openalex.org/S4306401965","display_name":"Open Access System for Information Sharing (Pohang University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I123900574","host_organization_name":"Pohang University of Science and Technology","host_organization_lineage":["https://openalex.org/I123900574"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W349087979","https://openalex.org/W1508960934","https://openalex.org/W1677409904","https://openalex.org/W1686810756","https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W1903029394","https://openalex.org/W1919709169","https://openalex.org/W2033819227","https://openalex.org/W2046166954","https://openalex.org/W2079376982","https://openalex.org/W2085261163","https://openalex.org/W2099927035","https://openalex.org/W2108598243","https://openalex.org/W2117228865","https://openalex.org/W2130017587","https://openalex.org/W2141584146","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2194775991","https://openalex.org/W2250384498","https://openalex.org/W2435623039","https://openalex.org/W2471962767","https://openalex.org/W2547875792","https://openalex.org/W2548228487","https://openalex.org/W2565639579","https://openalex.org/W2566812041","https://openalex.org/W2593948489","https://openalex.org/W2604233003","https://openalex.org/W2604881841","https://openalex.org/W2606149788","https://openalex.org/W2608303904","https://openalex.org/W2740418457","https://openalex.org/W2775929773","https://openalex.org/W2776827730","https://openalex.org/W2792282576","https://openalex.org/W2795296309","https://openalex.org/W2795877612","https://openalex.org/W2804394440","https://openalex.org/W2884088147","https://openalex.org/W2884354140","https://openalex.org/W2885650013","https://openalex.org/W2891202958","https://openalex.org/W2935594133","https://openalex.org/W2939052861","https://openalex.org/W2947326555","https://openalex.org/W2950911739","https://openalex.org/W2950974964","https://openalex.org/W2956877216","https://openalex.org/W2963059198","https://openalex.org/W2963140444","https://openalex.org/W2963150697","https://openalex.org/W2963157250","https://openalex.org/W2963325280","https://openalex.org/W2963748588","https://openalex.org/W2963760790","https://openalex.org/W2963857746","https://openalex.org/W2964073646","https://openalex.org/W2964157791","https://openalex.org/W2964304707","https://openalex.org/W2969139878","https://openalex.org/W2970350341","https://openalex.org/W2979458572","https://openalex.org/W2982121679","https://openalex.org/W3001017583","https://openalex.org/W3010242131","https://openalex.org/W3034971973","https://openalex.org/W3106250896","https://openalex.org/W3106982106","https://openalex.org/W4205425515","https://openalex.org/W4250666038","https://openalex.org/W4387928059","https://openalex.org/W6611892259","https://openalex.org/W6764177528","https://openalex.org/W6767840039"],"related_works":["https://openalex.org/W2578212641","https://openalex.org/W2268446623","https://openalex.org/W2890759418","https://openalex.org/W2855469500","https://openalex.org/W2618039218","https://openalex.org/W2912839047","https://openalex.org/W4366351734","https://openalex.org/W1901447884","https://openalex.org/W6891947088","https://openalex.org/W4405138903"],"abstract_inverted_index":{"Extracting":[0],"local":[1,46,69,76],"descriptors":[2,77],"or":[3],"features":[4,54],"is":[5],"an":[6],"essential":[7],"step":[8],"in":[9,16,75],"solving":[10],"image":[11,127],"matching":[12,128,141],"problems.":[13],"Recent":[14],"methods":[15],"the":[17,29,32,119,134,137],"literature":[18],"mainly":[19],"focus":[20],"on":[21,83,112,139],"extracting":[22],"effective":[23,45],"descriptors,":[24],"without":[25],"much":[26],"attention":[27],"to":[28,40,61,71,101,125,133],"size":[30,106],"of":[31,55,65,107,136],"descriptors.":[33,108],"In":[34],"this":[35],"work,":[36],"we":[37],"study":[38],"how":[39],"learn":[41],"a":[42,56,79,102,113],"compact":[43],"yet":[44],"descriptor.":[47],"The":[48],"proposed":[49,120],"method":[50,121],"distills":[51],"multiple":[52],"intermediate":[53],"pretrained":[57],"convolutional":[58],"neural":[59],"network":[60],"encode":[62],"different":[63],"levels":[64],"visual":[66,143],"information":[67],"from":[68],"textures":[70],"non-local":[72],"semantics,":[73],"resulting":[74],"with":[78,99],"designated":[80],"dimension.":[81],"Experiments":[82],"standard":[84],"benchmarks":[85],"for":[86,116],"semantic":[87,117],"correspondence":[88],"show":[89],"that":[90],"it":[91],"achieves":[92],"significantly":[93],"improved":[94],"performance":[95],"over":[96],"existing":[97],"models,":[98],"up":[100],"100":[103],"times":[104],"smaller":[105],"Furthermore,":[109],"while":[110],"trained":[111],"small-sized":[114],"dataset":[115],"correspondence,":[118],"also":[122],"generalizes":[123],"well":[124],"other":[126],"tasks,":[129],"performing":[130],"comparable":[131],"result":[132],"state":[135],"art":[138],"wide-baseline":[140],"and":[142],"localization":[144],"benchmarks.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2021-01-18T00:00:00"}