{"id":"https://openalex.org/W4385764787","doi":"https://doi.org/10.24963/ijcai.2023/62","title":"RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search","display_name":"RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385764787","doi":"https://doi.org/10.24963/ijcai.2023/62"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/62","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/62","pdf_url":"https://www.ijcai.org/proceedings/2023/0062.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0062.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100599284","display_name":"Yang Bai","orcid":"https://orcid.org/0000-0002-6845-5963"},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yang Bai","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University","institution_ids":["https://openalex.org/I185940356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103057121","display_name":"Min Cao","orcid":"https://orcid.org/0000-0002-9705-7833"},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Min Cao","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University","institution_ids":["https://openalex.org/I185940356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101233226","display_name":"Daming Gao","orcid":"https://orcid.org/0000-0002-2627-9201"},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Daming Gao","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University","institution_ids":["https://openalex.org/I185940356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102007730","display_name":"Ziqiang Cao","orcid":"https://orcid.org/0000-0002-1077-9033"},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ziqiang Cao","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University","institution_ids":["https://openalex.org/I185940356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418380","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0001-8297-6549"},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN","TW"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences","School of Computer Science and Technology, Soochow University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University","institution_ids":["https://openalex.org/I185940356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005423288","display_name":"Zhenfeng Fan","orcid":"https://orcid.org/0000-0003-2299-7596"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenfeng Fan","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038612499","display_name":"Liqiang Nie","orcid":"https://orcid.org/0000-0003-1476-0273"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqiang Nie","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402925","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0002-6059-3798"},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN","TW"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen","School of Computer Science and Technology, Soochow University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University","institution_ids":["https://openalex.org/I185940356"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103057121"],"corresponding_institution_ids":["https://openalex.org/I185940356"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":103,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"555","last_page":"563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994999766349792,"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":0.9983000159263611,"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/overfitting","display_name":"Overfitting","score":0.8915646076202393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6801408529281616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6554197669029236},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6545448303222656},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5647038817405701},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5505210161209106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.541113555431366},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5161553621292114},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4577582776546478},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44180989265441895},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3835820257663727},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.37931305170059204},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1915951669216156},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18854638934135437}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8915646076202393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6801408529281616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6554197669029236},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6545448303222656},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5647038817405701},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5505210161209106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.541113555431366},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5161553621292114},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4577582776546478},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44180989265441895},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3835820257663727},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.37931305170059204},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1915951669216156},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18854638934135437},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/62","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/62","pdf_url":"https://www.ijcai.org/proceedings/2023/0062.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/62","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/62","pdf_url":"https://www.ijcai.org/proceedings/2023/0062.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G3678359252","display_name":null,"funder_award_id":"NSFC 62106165","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7198995747","display_name":null,"funder_award_id":"62106165","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G795695972","display_name":null,"funder_award_id":"NSFC 62002252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385764787.pdf"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1957706851","https://openalex.org/W2194775991","https://openalex.org/W2398118205","https://openalex.org/W2481240925","https://openalex.org/W2592388817","https://openalex.org/W2882319491","https://openalex.org/W2894786240","https://openalex.org/W2896457183","https://openalex.org/W2908510526","https://openalex.org/W2962964995","https://openalex.org/W2963882743","https://openalex.org/W2978017171","https://openalex.org/W2985951359","https://openalex.org/W3015686580","https://openalex.org/W3029678209","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3036224891","https://openalex.org/W3090449556","https://openalex.org/W3091588028","https://openalex.org/W3093025987","https://openalex.org/W3094502228","https://openalex.org/W3095440956","https://openalex.org/W3110850179","https://openalex.org/W3120182027","https://openalex.org/W3126337491","https://openalex.org/W3166396011","https://openalex.org/W3177224328","https://openalex.org/W3184033217","https://openalex.org/W3184735396","https://openalex.org/W3189221782","https://openalex.org/W3192443982","https://openalex.org/W3193660937","https://openalex.org/W3201703290","https://openalex.org/W3204887981","https://openalex.org/W3205168784","https://openalex.org/W3206868111","https://openalex.org/W3210192321","https://openalex.org/W4200633094","https://openalex.org/W4200635168","https://openalex.org/W4205960322","https://openalex.org/W4224313754","https://openalex.org/W4226182655","https://openalex.org/W4287177480","https://openalex.org/W4294170691","https://openalex.org/W4297821751","https://openalex.org/W4304087170","https://openalex.org/W4304098245","https://openalex.org/W4304206620","https://openalex.org/W4312359729","https://openalex.org/W4312877428","https://openalex.org/W4312998013","https://openalex.org/W4321231469","https://openalex.org/W4388145471"],"related_works":["https://openalex.org/W2237537322","https://openalex.org/W2950678851","https://openalex.org/W4301248618","https://openalex.org/W3176823731","https://openalex.org/W2165343651","https://openalex.org/W2343790552","https://openalex.org/W2242427765","https://openalex.org/W2075830955","https://openalex.org/W4309969809","https://openalex.org/W3111398917"],"abstract_inverted_index":{"Text-based":[0],"person":[1,8],"search":[2],"aims":[3],"to":[4,16,23,88,106,125,145,154],"retrieve":[5],"the":[6,67,72,77,80,93,143,147,156,161],"specified":[7],"images":[9],"given":[10],"a":[11,19,32,98,129],"textual":[12],"description.":[13],"The":[14],"key":[15],"tackling":[17],"such":[18],"challenging":[20],"task":[21,103],"is":[22,128,189],"learn":[24],"powerful":[25],"multi-modal":[26],"representations.":[27],"Towards":[28],"this,":[29],"we":[30,141],"propose":[31],"Relation":[33],"and":[34,48,65,79,109,175,184],"Sensitivity":[35],"aware":[36],"representation":[37,118,144],"learning":[38,46,50,105,116,153],"method":[39],"(RaSa),":[40],"including":[41],"two":[42],"novel":[43,99],"tasks:":[44],"Relation-Aware":[45],"(RA)":[47],"Sensitivity-Aware":[49],"(SA).":[51],"For":[52,113],"one":[53],"thing,":[54,115],"existing":[55,137,169],"methods":[56,171],"cluster":[57],"representations":[58],"of":[59,179],"all":[60],"positive":[61,74,100,111],"pairs":[62,75],"without":[63],"distinction":[64],"overlook":[66],"noise":[68,84],"problem":[69],"caused":[70],"by":[71,96,150,172],"weak":[73,110],"where":[76],"text":[78],"paired":[81],"image":[82],"have":[83],"correspondences,":[85],"thus":[86,159],"leading":[87],"overfitting":[89,94],"learning.":[90],"RA":[91],"offsets":[92],"risk":[95],"introducing":[97],"relation":[101],"detection":[102],"(i.e.,":[104,122,152],"distinguish":[107],"strong":[108],"pairs).":[112],"another":[114],"invariant":[117],"under":[119],"data":[120],"augmentation":[121],"being":[123],"insensitive":[124],"some":[126],"transformations)":[127],"general":[130],"practice":[131],"for":[132],"improving":[133],"representation's":[134,162],"robustness":[135],"in":[136,177],"methods.":[138],"Beyond":[139],"that,":[140],"encourage":[142],"perceive":[146],"sensitive":[148],"transformation":[149],"SA":[151],"detect":[155],"replaced":[157],"words),":[158],"promoting":[160],"robustness.":[163],"Experiments":[164],"demonstrate":[165],"that":[166],"RaSa":[167],"outperforms":[168],"state-of-the-art":[170],"6.94%,":[173],"4.45%":[174],"15.35%":[176],"terms":[178],"Rank@1":[180],"on":[181],"CUHK-PEDES,":[182],"ICFG-PEDES":[183],"RSTPReid":[185],"datasets,":[186],"respectively.":[187],"Code":[188],"available":[190],"at:":[191],"https://github.com/Flame-Chasers/RaSa.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":21},{"year":2025,"cited_by_count":54},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2023-08-12T00:00:00"}