{"id":"https://openalex.org/W4405650817","doi":"https://doi.org/10.1007/s40747-024-01705-8","title":"A dynamic dropout self-distillation method for object segmentation","display_name":"A dynamic dropout self-distillation method for object segmentation","publication_year":2024,"publication_date":"2024-12-20","ids":{"openalex":"https://openalex.org/W4405650817","doi":"https://doi.org/10.1007/s40747-024-01705-8"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01705-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01705-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01705-8.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01705-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004245319","display_name":"Lei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Chen","raw_affiliation_strings":["The Army Engineering University of PLA, Nanjing, 210007, China"],"affiliations":[{"raw_affiliation_string":"The Army Engineering University of PLA, Nanjing, 210007, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018783499","display_name":"Tieyong Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tieyong Cao","raw_affiliation_strings":["The Army Engineering University of PLA, Nanjing, 210007, China"],"affiliations":[{"raw_affiliation_string":"The Army Engineering University of PLA, Nanjing, 210007, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102270610","display_name":"Yunfei Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I11414854","display_name":"National Defence Academy","ror":"https://ror.org/021twv479","country_code":"IN","type":"education","lineage":["https://openalex.org/I11414854"]},{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"Yunfei Zheng","raw_affiliation_strings":["The Army Engineering University of PLA, Nanjing, 210007, China","The PLA Army Academy of Artillery and Air Defense, Hefei, 230031, China"],"affiliations":[{"raw_affiliation_string":"The Army Engineering University of PLA, Nanjing, 210007, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"The PLA Army Academy of Artillery and Air Defense, Hefei, 230031, China","institution_ids":["https://openalex.org/I11414854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322958","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0003-3369-6772"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["The Army Engineering University of PLA, Nanjing, 210007, China"],"affiliations":[{"raw_affiliation_string":"The Army Engineering University of PLA, Nanjing, 210007, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335215","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0001-9172-698X"},"institutions":[{"id":"https://openalex.org/I67636235","display_name":"University of International Relations","ror":"https://ror.org/04r72en83","country_code":"CN","type":"education","lineage":["https://openalex.org/I67636235"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Zhang","raw_affiliation_strings":["Institute of International Relations, National Defense University of Science and Technology, Nanjing, 210012, China"],"affiliations":[{"raw_affiliation_string":"Institute of International Relations, National Defense University of Science and Technology, Nanjing, 210012, China","institution_ids":["https://openalex.org/I67636235"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024997158","display_name":"Jibin Yang","orcid":"https://orcid.org/0000-0002-1072-5422"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jibin Yang","raw_affiliation_strings":["The Army Engineering University of PLA, Nanjing, 210007, China"],"affiliations":[{"raw_affiliation_string":"The Army Engineering University of PLA, Nanjing, 210007, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5004245319"],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.2536,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57301517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994000196456909,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994000196456909,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11019","display_name":"Image Enhancement Techniques","score":0.982200026512146,"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/dropout","display_name":"Dropout (neural networks)","score":0.8375005722045898},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6000718474388123},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5938965678215027},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5615292191505432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5540049076080322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.536510705947876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3856082558631897},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34483420848846436}],"concepts":[{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.8375005722045898},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6000718474388123},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5938965678215027},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5615292191505432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5540049076080322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.536510705947876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3856082558631897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34483420848846436}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01705-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01705-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01705-8.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ed807f233422450ea8bf142bbc5a88b5","is_oa":true,"landing_page_url":"https://doaj.org/article/ed807f233422450ea8bf142bbc5a88b5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-14 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01705-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01705-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01705-8.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1122468876","display_name":null,"funder_award_id":"BK20180080","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G4514102772","display_name":null,"funder_award_id":"62071484","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6367032006","display_name":null,"funder_award_id":"61801512","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405650817.pdf","grobid_xml":"https://content.openalex.org/works/W4405650817.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2039313011","https://openalex.org/W2047670868","https://openalex.org/W2087100776","https://openalex.org/W2194775991","https://openalex.org/W2963112696","https://openalex.org/W2963334022","https://openalex.org/W2966796096","https://openalex.org/W2981441441","https://openalex.org/W2981689412","https://openalex.org/W2987861506","https://openalex.org/W2993235622","https://openalex.org/W2997006708","https://openalex.org/W3018276607","https://openalex.org/W3034684132","https://openalex.org/W3034756453","https://openalex.org/W3035216398","https://openalex.org/W3107944836","https://openalex.org/W3113755791","https://openalex.org/W3119262449","https://openalex.org/W3158553320","https://openalex.org/W3174807969","https://openalex.org/W3185613252","https://openalex.org/W3191127680","https://openalex.org/W3204703845","https://openalex.org/W3217071901","https://openalex.org/W4239147634","https://openalex.org/W4313575976","https://openalex.org/W4317790276","https://openalex.org/W4366256777","https://openalex.org/W4366684940","https://openalex.org/W4372311908","https://openalex.org/W4385570593","https://openalex.org/W4389686841","https://openalex.org/W4390659958","https://openalex.org/W4390874575","https://openalex.org/W6607726857"],"related_works":["https://openalex.org/W3082178636","https://openalex.org/W2782041652","https://openalex.org/W2612657834","https://openalex.org/W2392157706","https://openalex.org/W2599192953","https://openalex.org/W1987310671","https://openalex.org/W2952088488","https://openalex.org/W1521968289","https://openalex.org/W4225691210","https://openalex.org/W4399568863"],"abstract_inverted_index":{"There":[0],"is":[1,80,101,135,147,197,212],"a":[2,72,102,131,169,177,198],"phenomenon":[3],"that":[4,30,90],"better":[5,10],"teachers":[6],"cannot":[7],"teach":[8],"out":[9],"students":[11],"in":[12,21,215],"knowledge":[13,89,155],"distillation":[14],"due":[15],"to":[16,37,57,70,94,114,137,149,161,224],"the":[17,34,41,46,52,62,88,91,97,106,115,127,139,143,151,157,163,166,203,208,217,220],"capacity":[18],"mismatch.":[19],"Especially":[20],"pixel-level":[22],"object":[23,78,174],"segmentation,":[24],"there":[25,100,196],"are":[26,31,111,121,185],"some":[27],"challenging":[28],"pixels":[29,98,120,152],"difficult":[32],"for":[33,49,77,126,156,173],"student":[35,42,92,109,128,144,158,171,206,221],"model":[36,43,48,172,180,222],"learn.":[38,95],"Even":[39],"if":[40],"learns":[44],"from":[45,68],"teacher":[47,107,179,204],"each":[50],"pixel,":[51],"student\u2019s":[53],"performance":[54,200,218],"still":[55],"struggles":[56,93],"show":[58],"significant":[59,103],"improvement.":[60],"Mimicking":[61],"learning":[63],"process":[64],"of":[65,142,165,219],"human":[66],"beings":[67],"easy":[69],"difficult,":[71],"dynamic":[73,132],"dropout":[74,133],"self-distillation":[75,210],"method":[76,211],"segmentation":[79,175,183],"proposed,":[81],"which":[82,146],"solves":[83],"this":[84],"problem":[85],"by":[86],"discarding":[87],"Firstly,":[96],"where":[99],"difference":[104],"between":[105,202],"and":[108,176,205],"models":[110],"found":[112],"according":[113],"predicted":[116],"probabilities.":[117],"And":[118],"these":[119],"defined":[122],"as":[123],"difficult-to-learn":[124],"pixel":[125],"model.":[129,159],"Secondly,":[130],"strategy":[134],"proposed":[136,167,209],"match":[138],"capability":[140],"variation":[141],"model,":[145],"used":[148],"discard":[150],"with":[153,181],"hard":[154],"Finally,":[160],"validate":[162],"effectiveness":[164],"method,":[168],"simple":[170],"virtual":[178],"perfect":[182],"accuracy":[184],"constructed.":[186],"Experiment":[187],"results":[188],"on":[189],"four":[190],"public":[191],"datasets":[192],"demonstrate":[193],"that,":[194],"when":[195],"large":[199],"gap":[201],"models,":[207],"more":[213],"effective":[214],"improving":[216],"compared":[223],"other":[225],"methods.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
