{"id":"https://openalex.org/W2936881865","doi":"https://doi.org/10.1109/icassp.2019.8683665","title":"Decoupling Category-wise Independence and Relevance with Self-attention for Multi-label Image Classification","display_name":"Decoupling Category-wise Independence and Relevance with Self-attention for Multi-label Image Classification","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2936881865","doi":"https://doi.org/10.1109/icassp.2019.8683665","mag":"2936881865"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8683665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 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/A5074524814","display_name":"Luchen Liu","orcid":"https://orcid.org/0009-0009-3817-6267"},"institutions":[{"id":"https://openalex.org/I4210149914","display_name":"MSIGHT Technologies (China)","ror":"https://ror.org/03rjyvk34","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210149914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luchen Liu","raw_affiliation_strings":["Malong Technologies, Shenzhen, China","Shenzhen Malong Artificial Intelligence Research Center, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Malong Technologies, Shenzhen, China","institution_ids":["https://openalex.org/I4210149914"]},{"raw_affiliation_string":"Shenzhen Malong Artificial Intelligence Research Center, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752605","display_name":"Sheng Guo","orcid":"https://orcid.org/0000-0002-8959-2473"},"institutions":[{"id":"https://openalex.org/I4210149914","display_name":"MSIGHT Technologies (China)","ror":"https://ror.org/03rjyvk34","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210149914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Guo","raw_affiliation_strings":["Malong Technologies, Shenzhen, China","Shenzhen Malong Artificial Intelligence Research Center, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Malong Technologies, Shenzhen, China","institution_ids":["https://openalex.org/I4210149914"]},{"raw_affiliation_string":"Shenzhen Malong Artificial Intelligence Research Center, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101909917","display_name":"Weilin Huang","orcid":"https://orcid.org/0000-0002-1520-4140"},"institutions":[{"id":"https://openalex.org/I4210149914","display_name":"MSIGHT Technologies (China)","ror":"https://ror.org/03rjyvk34","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210149914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weilin Huang","raw_affiliation_strings":["Malong Technologies, Shenzhen, China","Shenzhen Malong Artificial Intelligence Research Center, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Malong Technologies, Shenzhen, China","institution_ids":["https://openalex.org/I4210149914"]},{"raw_affiliation_string":"Shenzhen Malong Artificial Intelligence Research Center, Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019329248","display_name":"Matthew R. Scott","orcid":"https://orcid.org/0000-0003-1404-4437"},"institutions":[{"id":"https://openalex.org/I4210149914","display_name":"MSIGHT Technologies (China)","ror":"https://ror.org/03rjyvk34","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210149914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Matthew R. Scott","raw_affiliation_strings":["Malong Technologies, Shenzhen, China","Shenzhen Malong Artificial Intelligence Research Center, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Malong Technologies, Shenzhen, China","institution_ids":["https://openalex.org/I4210149914"]},{"raw_affiliation_string":"Shenzhen Malong Artificial Intelligence Research Center, Shenzhen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210149914"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1682","last_page":"1686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9847999811172485,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7736690640449524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.739463746547699},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6886410117149353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6473404765129089},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6290627717971802},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5791619420051575},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5190813541412354},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5174339413642883},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5144684314727783},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5080056190490723},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49599942564964294},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4923757314682007},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46070802211761475},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.45973312854766846},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3596076965332031},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09671559929847717},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06512844562530518}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7736690640449524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.739463746547699},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6886410117149353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6473404765129089},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6290627717971802},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5791619420051575},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5190813541412354},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5174339413642883},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5144684314727783},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5080056190490723},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49599942564964294},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4923757314682007},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46070802211761475},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.45973312854766846},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3596076965332031},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09671559929847717},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06512844562530518},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8683665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1484210532","https://openalex.org/W1514027499","https://openalex.org/W1799366690","https://openalex.org/W1861492603","https://openalex.org/W2007972815","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2289772031","https://openalex.org/W2438305798","https://openalex.org/W2527800741","https://openalex.org/W2531409750","https://openalex.org/W2560096627","https://openalex.org/W2605572715","https://openalex.org/W2736688973","https://openalex.org/W2738853914","https://openalex.org/W2787518933","https://openalex.org/W2887842788","https://openalex.org/W2950461853","https://openalex.org/W2963300078","https://openalex.org/W2963306618","https://openalex.org/W2963346784","https://openalex.org/W2963420686","https://openalex.org/W2963495494","https://openalex.org/W2963676620","https://openalex.org/W2963697527","https://openalex.org/W2963745697","https://openalex.org/W2963875806","https://openalex.org/W2964036520","https://openalex.org/W2964080601","https://openalex.org/W6628927728","https://openalex.org/W6630792627","https://openalex.org/W6638444622","https://openalex.org/W6639102338","https://openalex.org/W6684191040","https://openalex.org/W6728184133","https://openalex.org/W6730608392","https://openalex.org/W6741440215","https://openalex.org/W6743731764","https://openalex.org/W6746352052","https://openalex.org/W6748874639"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W2748667022","https://openalex.org/W3211770882","https://openalex.org/W2010629964","https://openalex.org/W2983135586"],"abstract_inverted_index":{"Multi-label":[0],"image":[1,115],"classification":[2],"has":[3],"achieved":[4],"remarkable":[5],"progress":[6],"thanks":[7],"to":[8,30,45,65],"deep":[9],"convolutional":[10,69],"neural":[11],"networks":[12],"(CNNs).":[13],"In":[14],"this":[15],"paper,":[16],"we":[17],"propose":[18],"a":[19,56,61,83],"Decouple":[20],"Network":[21],"(DecoupleNet)":[22],"which":[23,78],"is":[24,43,79],"an":[25],"end-to-end":[26],"CNN-based":[27],"framework":[28],"able":[29,44],"trade":[31],"off":[32],"class-level":[33],"feature":[34],"independence":[35,48],"and":[36,49,97],"relevance":[37,50],"during":[38],"training.":[39],"The":[40],"proposed":[41,102],"DecoupleNet":[42,103],"decouple":[46],"category-wise":[47,57],"with":[51,60,74],"image-level":[52],"supervision.":[53],"We":[54,87],"design":[55],"space-to-depth":[58],"module":[59],"spatial":[62],"pooling":[63],"strategy":[64],"exploit":[66],"more":[67],"meaningful":[68],"features.":[70],"They":[71],"are":[72],"integrated":[73],"class-wise":[75],"correlated":[76],"information":[77],"automatically":[80],"learned":[81],"via":[82],"new":[84],"self-attention":[85],"mechanism.":[86],"conduct":[88],"extensive":[89],"experiments":[90],"on":[91,113],"two":[92],"large-scale":[93],"benchmarks:":[94],"the":[95,98,101,110],"MS-COCO":[96],"NUS-WIDE,":[99],"where":[100],"obtains":[104],"impressive":[105],"performance":[106],"compared":[107],"favorably":[108],"against":[109],"state-of-the-art":[111],"methods":[112],"multi-label":[114],"classification.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
