{"id":"https://openalex.org/W4386090427","doi":"https://doi.org/10.1109/tgrs.2023.3307690","title":"Directional Alignment Instance Knowledge Distillation for Arbitrary-Oriented Object Detection","display_name":"Directional Alignment Instance Knowledge Distillation for Arbitrary-Oriented Object Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386090427","doi":"https://doi.org/10.1109/tgrs.2023.3307690"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3307690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3307690","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-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/A5100759967","display_name":"Ao Wang","orcid":"https://orcid.org/0009-0000-5045-7357"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ao Wang","raw_affiliation_strings":["School of Information and Electronics and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446057","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-8853-0126"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["School of Information and Electronics and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001851867","display_name":"Zhanchao Huang","orcid":"https://orcid.org/0000-0001-5522-283X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanchao Huang","raw_affiliation_strings":["School of Information and Electronics and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060938159","display_name":"Boya Zhao","orcid":"https://orcid.org/0000-0001-5620-406X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boya Zhao","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","Aerospace Information Research Institute, Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100317994","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7015-7335"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Information and Electronics and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100759967"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.6018,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69241029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7874645590782166},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.7250393629074097},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7034305334091187},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5831530690193176},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5447046756744385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5154739022254944},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.49727705121040344},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47477245330810547},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4616680443286896},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.41828474402427673},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.4165685772895813},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41046109795570374},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3933030962944031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3635835647583008},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32218706607818604},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.09743425250053406},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.09168112277984619},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08066859841346741},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07365083694458008}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7874645590782166},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.7250393629074097},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7034305334091187},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5831530690193176},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5447046756744385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5154739022254944},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.49727705121040344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47477245330810547},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4616680443286896},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.41828474402427673},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.4165685772895813},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41046109795570374},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3933030962944031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3635835647583008},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32218706607818604},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.09743425250053406},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.09168112277984619},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08066859841346741},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07365083694458008},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3307690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3307690","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2645103404","display_name":null,"funder_award_id":"2021YFB3900502","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W2031489346","https://openalex.org/W2037227137","https://openalex.org/W2194775991","https://openalex.org/W2561238782","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2731516819","https://openalex.org/W2765407302","https://openalex.org/W2883780447","https://openalex.org/W2962749812","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963140444","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2963351448","https://openalex.org/W2963849369","https://openalex.org/W2964979676","https://openalex.org/W2982157312","https://openalex.org/W2982770724","https://openalex.org/W2989676862","https://openalex.org/W2991359031","https://openalex.org/W2991363140","https://openalex.org/W3034993937","https://openalex.org/W3093319256","https://openalex.org/W3102710196","https://openalex.org/W3109055651","https://openalex.org/W3122893743","https://openalex.org/W3136761610","https://openalex.org/W3138516171","https://openalex.org/W3141404903","https://openalex.org/W3144293580","https://openalex.org/W3167976421","https://openalex.org/W3170033848","https://openalex.org/W3172087149","https://openalex.org/W3174873843","https://openalex.org/W3177105943","https://openalex.org/W3177196641","https://openalex.org/W3203608457","https://openalex.org/W3207919963","https://openalex.org/W4211114389","https://openalex.org/W4211247672","https://openalex.org/W4214507171","https://openalex.org/W4214524539","https://openalex.org/W4214648418","https://openalex.org/W4224920319","https://openalex.org/W4225532949","https://openalex.org/W4285278903","https://openalex.org/W4293584584","https://openalex.org/W4294962401","https://openalex.org/W4295312788","https://openalex.org/W4308504411","https://openalex.org/W4310853903","https://openalex.org/W4311726887","https://openalex.org/W4312804579","https://openalex.org/W4312873619","https://openalex.org/W4313119505","https://openalex.org/W4316843048","https://openalex.org/W4318767809","https://openalex.org/W4324116440","https://openalex.org/W4366957306","https://openalex.org/W4372260444","https://openalex.org/W4377232672","https://openalex.org/W4386072246","https://openalex.org/W6620707391","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6730179637","https://openalex.org/W6740493225","https://openalex.org/W6745136726","https://openalex.org/W6750227808","https://openalex.org/W6753767121","https://openalex.org/W6760424586","https://openalex.org/W6766978945","https://openalex.org/W6779586474","https://openalex.org/W6788870397","https://openalex.org/W6792959765","https://openalex.org/W6811378280","https://openalex.org/W6842404813","https://openalex.org/W6846342066","https://openalex.org/W6847876731","https://openalex.org/W6848712460"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911"],"abstract_inverted_index":{"Recently,":[0],"many":[1,30],"lightweight":[2,25,73],"neural":[3],"networks":[4],"have":[5],"been":[6],"deployed":[7],"on":[8,147],"airborne":[9],"or":[10],"satellite":[11],"remote":[12,150],"sensing":[13,151],"platforms":[14],"for":[15,67],"real-time":[16],"object":[17,74,152],"detection.":[18],"To":[19,56],"bridge":[20],"the":[21,69,72,89,115,131,136,157,160],"performance":[22,70],"gap":[23],"between":[24],"models":[26],"and":[27,93,110,120],"complex":[28],"models,":[29],"knowledge":[31,48,63],"distillation":[32,64,82,128],"(KD)":[33],"methods":[34,40],"are":[35,145],"investigated.":[36],"However,":[37],"existing":[38],"KD":[39],"ignore":[41],"to":[42,87,96,113],"transfer":[43,97],"effective":[44,98],"directional":[45,60,99],"knowledge.":[46,100],"Meanwhile,":[47],"of":[49,71,118,140,159],"different":[50],"subtasks":[51],"interfere":[52],"with":[53],"each":[54],"other.":[55],"this":[57],"end,":[58],"a":[59,123],"alignment":[61,127],"instance":[62],"(DAIK)":[65],"method":[66],"improving":[68],"detection":[75,153],"model":[76],"is":[77,85,105],"proposed.":[78],"Specifically,":[79],"an":[80],"angle":[81],"(AD)":[83],"module":[84],"developed":[86],"combine":[88],"circular":[90],"smooth":[91],"label":[92,108],"teacher":[94,137],"logits":[95],"Angular-distance":[101],"Aspect-ratio":[102],"Look-up-table":[103],"(AAL)":[104],"incorporated":[106],"into":[107],"assignment":[109],"re-weighting":[111],"loss":[112],"enhance":[114],"prediction":[116],"sensitivity":[117],"direction":[119],"shape":[121],"in":[122],"discrete":[124],"manner.":[125],"Sample":[126],"(SAD)":[129],"reduces":[130],"spatial":[132],"misalignment":[133],"by":[134],"mimicking":[135],"model\u2019s":[138],"distribution":[139],"anchor":[141],"points.":[142],"Extensive":[143],"experiments":[144],"performed":[146],"several":[148],"public":[149],"datasets,":[154],"which":[155],"demonstrates":[156],"effectiveness":[158],"proposed":[161],"DAIK.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
