{"id":"https://openalex.org/W4372260559","doi":"https://doi.org/10.1109/icassp49357.2023.10095686","title":"Region-Awared Transformer with Asymmetric Loss in Multi-Label Classification","display_name":"Region-Awared Transformer with Asymmetric Loss in Multi-Label Classification","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260559","doi":"https://doi.org/10.1109/icassp49357.2023.10095686"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095686","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095686","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":"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/A5100433972","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-8494-0504"},"institutions":[{"id":"https://openalex.org/I4210128140","display_name":"Guangdong University of Petrochemical Technology","ror":"https://ror.org/030ffke25","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128140"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Guangdong University of Petrochemical Technology,China","Guangdong University of Petrochemical Technology, China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Petrochemical Technology,China","institution_ids":["https://openalex.org/I4210128140"]},{"raw_affiliation_string":"Guangdong University of Petrochemical Technology, China","institution_ids":["https://openalex.org/I4210128140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454052","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-0750-1030"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["University of Amsterdam,The Netherlands","University of Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam,The Netherlands","institution_ids":["https://openalex.org/I887064364"]},{"raw_affiliation_string":"University of Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090505666","display_name":"Yanqi Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqi Bao","raw_affiliation_strings":["Nanjing University,China","Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University,China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100440161","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0003-0820-5046"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["Northeastern University,China","Northeastern University, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100433972"],"corresponding_institution_ids":["https://openalex.org/I4210128140"],"apc_list":null,"apc_paid":null,"fwci":0.1625,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46718104,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.991100013256073,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.991100013256073,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9909999966621399,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9857000112533569,"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":0.7162259817123413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6147651672363281},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.583556592464447},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5602002739906311},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5198531746864319},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5083827376365662},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45639652013778687},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34316694736480713},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10190358757972717},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.0865069031715393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162259817123413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6147651672363281},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.583556592464447},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5602002739906311},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5198531746864319},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5083827376365662},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45639652013778687},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34316694736480713},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10190358757972717},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0865069031715393},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095686","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095686","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2194775991","https://openalex.org/W2560096627","https://openalex.org/W2932399282","https://openalex.org/W2936881865","https://openalex.org/W2963300078","https://openalex.org/W2963676620","https://openalex.org/W2963697527","https://openalex.org/W2982112268","https://openalex.org/W2997136715","https://openalex.org/W2998420437","https://openalex.org/W3090578762","https://openalex.org/W3094502228","https://openalex.org/W3099518117","https://openalex.org/W3120129399","https://openalex.org/W3167456680","https://openalex.org/W3174320978","https://openalex.org/W4214673031","https://openalex.org/W4232706428","https://openalex.org/W6639102338","https://openalex.org/W6775760072"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W93537448","https://openalex.org/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W2048332520","https://openalex.org/W4233821346"],"abstract_inverted_index":{"Multi-label":[0],"image":[1,39],"classification":[2],"(MLIC)":[3],"deals":[4],"with":[5,96],"assigning":[6,101],"multiple":[7],"labels":[8],"to":[9,49,54,81],"each":[10],"image,":[11],"a":[12,20,78,117],"easy":[13],"task":[14],"for":[15],"human":[16],"being":[17],"while":[18],"still":[19],"open":[21],"problem":[22],"in":[23,29,32,37,67,74],"machine":[24],"learning.":[25],"The":[26],"greatest":[27],"challenge":[28],"MLIC":[30],"lies":[31],"that":[33],"different":[34,103],"target":[35],"objects":[36],"one":[38],"keep":[40],"distinct":[41],"viewpoints":[42],"and":[43,87,109],"scales.":[44],"One":[45],"effective":[46],"way":[47],"is":[48],"borrow":[50],"the":[51,56,71,97],"label-related":[52],"information":[53],"guide":[55],"selection":[57],"of":[58,107],"interesting":[59],"region,":[60],"which":[61],"will":[62],"act":[63],"an":[64],"important":[65],"role":[66],"classification.":[68],"By":[69],"leveraging":[70],"attention":[72],"mechanism":[73],"transformer,":[75],"we":[76],"propose":[77],"region-awared":[79],"transformer":[80],"focus":[82],"on":[83,114],"top":[84],"related":[85],"regions":[86],"neglect":[88],"background":[89],"interference.":[90],"Furthermore,":[91],"our":[92],"approach":[93],"can":[94],"cope":[95],"positive-negative":[98],"imbalance":[99],"by":[100],"them":[102],"exponential":[104],"decay":[105],"factors":[106],"positive":[108],"negative":[110],"samples":[111],"separately.":[112],"Experiments":[113],"MS-COCO":[115],"show":[116],"competitive":[118],"performance":[119],"against":[120],"other":[121],"state-of-the-art":[122],"methods.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
