{"id":"https://openalex.org/W4372262693","doi":"https://doi.org/10.1109/icassp49357.2023.10097262","title":"Knowledge Distillation with Active Exploration and Self-Attention Based Inter-Class Variation Transfer for Image Segmentation","display_name":"Knowledge Distillation with Active Exploration and Self-Attention Based Inter-Class Variation Transfer for Image Segmentation","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372262693","doi":"https://doi.org/10.1109/icassp49357.2023.10097262"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10097262","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10097262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5114686064","display_name":"Yifan Zhang","orcid":"https://orcid.org/0000-0002-9190-3509"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Zhang","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345011","display_name":"Shaojie Li","orcid":"https://orcid.org/0000-0002-7203-2488"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojie Li","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086985713","display_name":"Xuan Yang","orcid":"https://orcid.org/0000-0002-6680-6934"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Yang","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9959999918937683,"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":0.7541176080703735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6947510242462158},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6239232420921326},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.6170433163642883},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6135497689247131},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5891506671905518},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5734248161315918},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5587450861930847},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.531543493270874},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5289825201034546},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5116686820983887},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5080153942108154},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.41559404134750366},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4146845042705536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4006621241569519},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.10632288455963135},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07661277055740356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541176080703735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6947510242462158},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6239232420921326},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.6170433163642883},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6135497689247131},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5891506671905518},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5734248161315918},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5587450861930847},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.531543493270874},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5289825201034546},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5116686820983887},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5080153942108154},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.41559404134750366},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4146845042705536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4006621241569519},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.10632288455963135},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07661277055740356},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/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},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10097262","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10097262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1901129140","https://openalex.org/W1913356549","https://openalex.org/W2031489346","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2561238782","https://openalex.org/W2952787292","https://openalex.org/W2954901156","https://openalex.org/W2982157312","https://openalex.org/W2987861506","https://openalex.org/W3008374555","https://openalex.org/W3094502228","https://openalex.org/W3105676814","https://openalex.org/W3164443777","https://openalex.org/W3172614365","https://openalex.org/W3174102142","https://openalex.org/W3177196641","https://openalex.org/W3181648049","https://openalex.org/W3197813359","https://openalex.org/W3202329792","https://openalex.org/W4206210197","https://openalex.org/W4313126997","https://openalex.org/W6638523607","https://openalex.org/W6730179637","https://openalex.org/W6765492279","https://openalex.org/W6773815586","https://openalex.org/W6842607031"],"related_works":["https://openalex.org/W2386430105","https://openalex.org/W2356521405","https://openalex.org/W2038534795","https://openalex.org/W2384358604","https://openalex.org/W1567829292","https://openalex.org/W3001063351","https://openalex.org/W3196905815","https://openalex.org/W2351370765","https://openalex.org/W3133811809","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Knowledge":[0],"distillation":[1,41,141],"(KD)":[2],"aims":[3],"to":[4,54,63,85],"distill":[5],"the":[6,43,51,59,68,76,82,91,96,99,104,107,127],"knowledge":[7,140],"from":[8,90],"a":[9,16,25],"more":[10],"extensive":[11],"deep":[12],"neural":[13],"network":[14],"into":[15],"small":[17],"net-work":[18],"without":[19],"losing":[20],"validity.":[21],"This":[22],"paper":[23],"proposes":[24],"novel":[26],"approach":[27,125],"with":[28],"active":[29],"exploration":[30],"and":[31,35,80,118,133],"passive":[32],"transfer":[33],"(AEPT)":[34],"self-attention-based":[36,108],"inter-class":[37],"feature":[38,109],"variation":[39,110],"(AIFV)":[40,111],"for":[42,101],"cardiac":[44],"image":[45,120],"segmentation":[46],"task.":[47],"The":[48],"AEPT":[49],"encourages":[50],"student":[52,83,100,105,128],"model":[53,84,129],"learn":[55,130],"undiscovered":[56],"knowledge/features":[57],"of":[58,98],"teacher":[60,77,92],"model,":[61],"aiming":[62],"explore":[64,86],"new":[65],"features":[66,88],"outperforming":[67],"teacher.":[69],"More":[70],"specifically,":[71],"we":[72],"focus":[73],"on":[74,116],"where":[75],"performs":[78],"poorly":[79],"encourage":[81],"complementary":[87],"different":[89,102],"model.":[93],"To":[94],"improve":[95],"distinguishability":[97],"classes,":[103],"learns":[106],"between":[112],"classes.":[113],"Extensive":[114],"experiments":[115],"medical":[117],"public":[119],"datasets":[121],"demonstrate":[122],"that":[123],"our":[124],"makes":[126],"better":[131],"representations":[132],"outperforms":[134],"state-of-art":[135],"methods":[136],"by":[137],"combining":[138],"two":[139],"strategies.":[142]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}