{"id":"https://openalex.org/W3170487598","doi":"https://doi.org/10.1109/tcsvt.2021.3087823","title":"Adaptive Feature Aggregation in Deep Multi-Task Convolutional Neural Networks","display_name":"Adaptive Feature Aggregation in Deep Multi-Task Convolutional Neural Networks","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3170487598","doi":"https://doi.org/10.1109/tcsvt.2021.3087823","mag":"3170487598"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3087823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3087823","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5040285913","display_name":"Chaoran Cui","orcid":"https://orcid.org/0000-0003-3332-1348"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chaoran Cui","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China","institution_ids":["https://openalex.org/I59483232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008435","display_name":"Zhen Shen","orcid":"https://orcid.org/0000-0002-3402-0910"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Shen","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101425628","display_name":"Jin Huang","orcid":"https://orcid.org/0009-0002-9647-6961"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Huang","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357848","display_name":"Meng Chen","orcid":"https://orcid.org/0000-0001-8645-8626"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Chen","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081346568","display_name":"Mingliang Xu","orcid":"https://orcid.org/0000-0002-6885-3451"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingliang Xu","raw_affiliation_strings":["School of Information Engineering, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100672590","display_name":"Yilong Yin","orcid":"https://orcid.org/0000-0002-8465-1294"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilong Yin","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5040285913"],"corresponding_institution_ids":["https://openalex.org/I59483232"],"apc_list":null,"apc_paid":null,"fwci":1.1528,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.80308824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"32","issue":"4","first_page":"2133","last_page":"2144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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":0.9995999932289124,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.998199999332428,"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":0.8259176015853882},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7497544884681702},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.642186164855957},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6251373291015625},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5951483845710754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5597128868103027},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5090965628623962},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48523855209350586},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4847142696380615},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.47323545813560486},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4647362232208252},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16875231266021729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8259176015853882},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7497544884681702},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.642186164855957},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6251373291015625},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5951483845710754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5597128868103027},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5090965628623962},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48523855209350586},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4847142696380615},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.47323545813560486},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4647362232208252},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16875231266021729},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2021.3087823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3087823","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1457259092","display_name":null,"funder_award_id":"61876098","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2523181259","display_name":null,"funder_award_id":"2018YFC0830102","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4984754457","display_name":null,"funder_award_id":"2018YFC0830100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8476123286","display_name":null,"funder_award_id":"61701281","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1536680647","https://openalex.org/W1903029394","https://openalex.org/W1965804146","https://openalex.org/W2067912884","https://openalex.org/W2083047701","https://openalex.org/W2108598243","https://openalex.org/W2124907686","https://openalex.org/W2144764737","https://openalex.org/W2165644552","https://openalex.org/W2194775991","https://openalex.org/W2550553598","https://openalex.org/W2624871570","https://openalex.org/W2752782242","https://openalex.org/W2787091153","https://openalex.org/W2796500071","https://openalex.org/W2884585870","https://openalex.org/W2919631354","https://openalex.org/W2922509574","https://openalex.org/W2962858109","https://openalex.org/W2963091558","https://openalex.org/W2963268748","https://openalex.org/W2963430933","https://openalex.org/W2963495494","https://openalex.org/W2963591054","https://openalex.org/W2963677766","https://openalex.org/W2963877604","https://openalex.org/W2963986095","https://openalex.org/W2964089273","https://openalex.org/W2964247799","https://openalex.org/W2966182616","https://openalex.org/W2970783474","https://openalex.org/W3094220089","https://openalex.org/W3111681251","https://openalex.org/W6630875275","https://openalex.org/W6685261749","https://openalex.org/W6739365718","https://openalex.org/W6739901393","https://openalex.org/W6745995898","https://openalex.org/W6745996482","https://openalex.org/W6754005058"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2046435967","https://openalex.org/W4231775656","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W3081644756"],"abstract_inverted_index":{"Multi-task":[0],"learning":[1],"in":[2,12,77],"Convolutional":[3],"Neural":[4],"Networks":[5],"(CNNs)":[6],"has":[7],"led":[8],"to":[9,85,93,117],"remarkable":[10],"success":[11],"a":[13,67,79,146],"variety":[14],"of":[15,17,32,46,52,56,108,114,132,182],"applications":[16],"computer":[18],"vision.":[19],"Towards":[20],"effective":[21],"multi-task":[22,75,183],"CNN":[23],"architectures,":[24],"recent":[25],"studies":[26],"automatically":[27],"learn":[28,42],"the":[29,53,91,95,106,118,123,129,136,178],"optimal":[30],"combinations":[31],"task-specific":[33,57],"features":[34,58],"at":[35,191],"single":[36],"network":[37],"layers.":[38],"However,":[39],"they":[40],"generally":[41],"an":[43],"unchanged":[44],"operation":[45],"feature":[47,125,130],"combination":[48],"after":[49],"training,":[50],"regardless":[51],"characteristic":[54],"changes":[55],"across":[59],"different":[60,133],"inputs.":[61,109],"In":[62],"this":[63],"paper,":[64],"we":[65,170],"propose":[66],"novel":[68],"Adaptive":[69],"Feature":[70],"Aggregation":[71],"(AFA)":[72],"layer":[73,144],"for":[74],"CNNs,":[76],"which":[78,94,121],"dynamic":[80],"aggregation":[81,115,126],"mechanism":[82],"is":[83,102,145],"designed":[84],"allow":[86],"each":[87],"task":[88],"adaptively":[89],"determines":[90],"degree":[92],"knowledge":[96],"sharing":[97],"or":[98],"preserving":[99],"between":[100],"tasks":[101,134],"needed":[103],"based":[104],"on":[105],"characteristics":[107],"We":[110],"introduce":[111],"two":[112],"types":[113],"modules":[116],"AFA":[119,143],"layer,":[120],"realize":[122],"adaptive":[124],"by":[127],"capturing":[128],"dependencies":[131],"along":[135,160],"channel":[137],"and":[138,152,155,167,187],"spatial":[139],"axes,":[140],"respectively.":[141],"The":[142,185],"plug-and-play":[147],"component":[148],"with":[149,161],"low":[150],"parameter":[151],"computation":[153],"overheads,":[154],"can":[156],"be":[157],"trained":[158],"end-to-end":[159],"backbone":[162],"networks.":[163],"For":[164],"both":[165],"pixel-level":[166],"image-level":[168],"tasks,":[169],"empirically":[171],"show":[172],"that":[173],"our":[174],"approach":[175],"substantially":[176],"outperforms":[177],"previous":[179],"state-of-the-art":[180],"methods":[181],"CNNs.":[184],"code":[186],"models":[188],"are":[189],"available":[190],"<uri":[192],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[193],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/zhenshen-mla/AFANet</uri>":[194],".":[195]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}