{"id":"https://openalex.org/W4403791321","doi":"https://doi.org/10.1145/3664647.3681581","title":"Task-Conditional Adapter for Multi-Task Dense Prediction","display_name":"Task-Conditional Adapter for Multi-Task Dense Prediction","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791321","doi":"https://doi.org/10.1145/3664647.3681581"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681581","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5113405698","display_name":"Fengze Jiang","orcid":"https://orcid.org/0009-0004-4721-5794"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fengze Jiang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100683177","display_name":"Shuling Wang","orcid":"https://orcid.org/0000-0002-3405-7473"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuling Wang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061298101","display_name":"Xiaojin Gong","orcid":"https://orcid.org/0000-0001-9955-3569"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojin Gong","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113405698"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.5002,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66174546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2059","last_page":"2068"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9955999851226807,"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":0.9955999851226807,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10812","display_name":"Human Pose and Action Recognition","score":0.9799000024795532,"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/adapter","display_name":"Adapter (computing)","score":0.8383255004882812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7677998542785645},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6809032559394836},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.41572999954223633},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.18571749329566956},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08262637257575989}],"concepts":[{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.8383255004882812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7677998542785645},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6809032559394836},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.41572999954223633},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.18571749329566956},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08262637257575989},{"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:10.1145/3664647.3681581","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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":36,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2125215748","https://openalex.org/W2798441115","https://openalex.org/W2884585870","https://openalex.org/W2918473435","https://openalex.org/W2955058313","https://openalex.org/W2959581809","https://openalex.org/W2962864421","https://openalex.org/W2963708168","https://openalex.org/W2963877604","https://openalex.org/W2968296999","https://openalex.org/W2985775862","https://openalex.org/W3138516171","https://openalex.org/W3166140588","https://openalex.org/W3185341429","https://openalex.org/W3185836578","https://openalex.org/W3200000156","https://openalex.org/W4214488157","https://openalex.org/W4221152259","https://openalex.org/W4282005462","https://openalex.org/W4287122891","https://openalex.org/W4304192642","https://openalex.org/W4307478736","https://openalex.org/W4313166855","https://openalex.org/W4322766882","https://openalex.org/W4382240142","https://openalex.org/W4386065433","https://openalex.org/W4386076670","https://openalex.org/W4386083036","https://openalex.org/W4390590999","https://openalex.org/W4390872608","https://openalex.org/W4390873360","https://openalex.org/W4390874224","https://openalex.org/W4394625822","https://openalex.org/W4402704566","https://openalex.org/W4404658388"],"related_works":["https://openalex.org/W1564680838","https://openalex.org/W2003125260","https://openalex.org/W2060591604","https://openalex.org/W1992291644","https://openalex.org/W2166791242","https://openalex.org/W2585162246","https://openalex.org/W1934413089","https://openalex.org/W2098419343","https://openalex.org/W2051178964","https://openalex.org/W2989714914"],"abstract_inverted_index":{"Multi-task":[0],"dense":[1],"prediction":[2],"plays":[3],"an":[4,15,73],"important":[5],"role":[6],"in":[7],"the":[8,26,38,88,97,117,141,153,157],"field":[9],"of":[10,18,28,99,137],"computer":[11],"vision":[12],"and":[13,58,81,107,129,169,181,194],"has":[14],"abundant":[16],"array":[17],"applications.":[19],"Its":[20],"main":[21],"purpose":[22],"is":[23,199],"to":[24,42,63,84,116,125,133,139,143,152,160],"reduce":[25],"amount":[27],"network":[29,34,50,61,142,159],"training":[30,100,105],"parameters":[31,35,62,136],"by":[32,68,110],"sharing":[33],"while":[36],"using":[37],"correlation":[39],"between":[40,162],"tasks":[41,128],"improve":[43],"overall":[44],"performance.":[45,172],"We":[46,119],"propose":[47,72],"a":[48,56,112],"task-conditional":[49,147],"that":[51,76,184],"handles":[52],"one":[53],"task":[54,123],"at":[55,201],"time":[57,106],"shares":[59],"most":[60],"achieve":[64],"these":[65,131],"goals.":[66],"Inspired":[67],"adapter":[69,74,114],"tuning,":[70],"we":[71],"module":[75],"focuses":[77],"on":[78,175],"both":[79],"spatial-":[80],"channel-wise":[82],"information":[83],"extract":[85],"features":[86,168],"from":[87],"frozen":[89],"encoder":[90],"backbone.":[91],"This":[92],"approach":[93,186],"not":[94],"only":[95],"reduces":[96],"number":[98],"parameters,":[101],"but":[102],"also":[103,150],"saves":[104],"memory":[108,195],"resources":[109],"attaching":[111],"parallel":[113],"pathway":[115],"encoder.":[118],"additionally":[120],"use":[121,130],"learnable":[122],"prompts":[124,132],"model":[126],"different":[127],"adjust":[134],"some":[135],"adapters":[138,148],"fit":[140],"diverse":[144],"tasks.":[145],"These":[146],"are":[149],"applied":[151],"decoder,":[154],"which":[155],"enables":[156],"entire":[158],"switch":[161],"various":[163],"tasks,":[164],"producing":[165],"better":[166],"task-specific":[167],"achieving":[170],"excellent":[171,191],"Extensive":[173],"experiments":[174],"two":[176],"challenging":[177],"multi-task":[178],"benchmarks,":[179],"NYUD-v2":[180],"PASCAL-Context,":[182],"show":[183],"our":[185],"achieves":[187],"state-of-the-art":[188],"performance":[189],"with":[190],"parameter,":[192],"time,":[193],"efficiency.":[196],"The":[197],"code":[198],"available":[200],"https://github.com/jfzleo/Task-Conditional-Adapter.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
