{"id":"https://openalex.org/W4386472893","doi":"https://doi.org/10.1109/tnnls.2023.3309104","title":"Zero-Shot Human\u2013Object Interaction Detection via Similarity Propagation","display_name":"Zero-Shot Human\u2013Object Interaction Detection via Similarity Propagation","publication_year":2023,"publication_date":"2023-09-06","ids":{"openalex":"https://openalex.org/W4386472893","doi":"https://doi.org/10.1109/tnnls.2023.3309104","pmid":"https://pubmed.ncbi.nlm.nih.gov/37672372"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3309104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3309104","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5004411500","display_name":"Daoming Zong","orcid":"https://orcid.org/0009-0004-8109-2943"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Daoming Zong","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047846625","display_name":"Shiliang Sun","orcid":"https://orcid.org/0000-0001-7069-3752"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiliang Sun","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China","Ministry of Education, Key Laboratory of Advanced Theory and Application in Statistics and Data Science, East China Normal University, Shanghai, China","Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7069-3752","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Advanced Theory and Application in Statistics and Data Science, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004411500"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":1.2952,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82645976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"35","issue":"12","first_page":"17805","last_page":"17816"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6908846497535706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6725917458534241},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6345072388648987},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5362557172775269},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5266965627670288},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5071427822113037},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4926913380622864},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4186377227306366},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.4119423031806946},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3239947259426117},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30454015731811523}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6908846497535706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6725917458534241},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6345072388648987},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5362557172775269},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5266965627670288},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5071427822113037},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4926913380622864},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4186377227306366},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.4119423031806946},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3239947259426117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30454015731811523},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3309104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3309104","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37672372","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37672372","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5796687318","display_name":null,"funder_award_id":"62076096","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2096733369","https://openalex.org/W2105767494","https://openalex.org/W2250539671","https://openalex.org/W2277195237","https://openalex.org/W2520762063","https://openalex.org/W2594833348","https://openalex.org/W2601051138","https://openalex.org/W2605805765","https://openalex.org/W2780288531","https://openalex.org/W2801004733","https://openalex.org/W2896659472","https://openalex.org/W2905048190","https://openalex.org/W2962716320","https://openalex.org/W2962739339","https://openalex.org/W2962766617","https://openalex.org/W2962844592","https://openalex.org/W2963097937","https://openalex.org/W2963936013","https://openalex.org/W2964225075","https://openalex.org/W2982147439","https://openalex.org/W2997150218","https://openalex.org/W3034563158","https://openalex.org/W3034934229","https://openalex.org/W3034951775","https://openalex.org/W3035047011","https://openalex.org/W3035121934","https://openalex.org/W3035598501","https://openalex.org/W3046554305","https://openalex.org/W3049440217","https://openalex.org/W3095753865","https://openalex.org/W3096609285","https://openalex.org/W3106121867","https://openalex.org/W3106988096","https://openalex.org/W3109754877","https://openalex.org/W3109813419","https://openalex.org/W3168279596","https://openalex.org/W3168488421","https://openalex.org/W3169708801","https://openalex.org/W3171169846","https://openalex.org/W3174164794","https://openalex.org/W3174480456","https://openalex.org/W3197395033","https://openalex.org/W3198947145","https://openalex.org/W3212436340","https://openalex.org/W4200531006","https://openalex.org/W4282937133","https://openalex.org/W4283030109","https://openalex.org/W4364321925","https://openalex.org/W4385245566","https://openalex.org/W6620707391","https://openalex.org/W6632922691","https://openalex.org/W6636510571","https://openalex.org/W6678470764","https://openalex.org/W6682691769","https://openalex.org/W6719819555","https://openalex.org/W6754152559","https://openalex.org/W6755207826","https://openalex.org/W6756159146","https://openalex.org/W6757817989","https://openalex.org/W6774314701","https://openalex.org/W6776700526","https://openalex.org/W6785527955","https://openalex.org/W6799822930","https://openalex.org/W6802517928"],"related_works":["https://openalex.org/W2389818373","https://openalex.org/W2220831889","https://openalex.org/W2056226831","https://openalex.org/W3013312691","https://openalex.org/W3027421045","https://openalex.org/W4312683641","https://openalex.org/W2380654781","https://openalex.org/W2576320324","https://openalex.org/W2114797768","https://openalex.org/W3215994059"],"abstract_inverted_index":{"Human-object":[0],"interaction":[1,17],"(HOI)":[2],"detection":[3],"involves":[4],"identifying":[5],"interactions":[6],"represented":[7],"as":[8,57],",":[9],"requiring":[10],"the":[11,26,35,44,79,135],"localization":[12],"of":[13,28,47,137],"human-object":[14],"pairs":[15],"and":[16,84,107,117,132],"classification":[18],"within":[19],"an":[20],"image.":[21],"This":[22],"work":[23],"focuses":[24],"on":[25,96,127],"challenge":[27],"detecting":[29],"HOIs":[30],"with":[31,111],"unseen":[32,55,85,93],"objects":[33,56,94],"using":[34],"prevalent":[36],"Transformer":[37,112],"architecture.":[38],"Our":[39],"empirical":[40],"analysis":[41],"reveals":[42],"that":[43,72],"performance":[45],"degradation":[46],"novel":[48],"HOI":[49],"instances":[50],"primarily":[51],"arises":[52],"from":[53],"misclassifying":[54],"confusable":[58],"seen":[59,83],"objects.":[60,86],"To":[61],"address":[62],"this":[63],"issue,":[64],"we":[65,89,103],"propose":[66],"a":[67],"similarity":[68,75],"propagation":[69],"(SP)":[70],"scheme":[71],"leverages":[73],"cosine":[74],"distance":[76],"to":[77,113],"regulate":[78],"prediction":[80],"margin":[81],"between":[82],"In":[87],"addition,":[88],"introduce":[90],"pseudo-supervision":[91],"for":[92],"based":[95],"class":[97],"semantic":[98],"similarities":[99],"during":[100],"training.":[101],"Furthermore,":[102],"incorporate":[104],"semantic-aware":[105],"instance-level":[106],"interaction-level":[108],"contrastive":[109],"losses":[110],"enhance":[114],"intraclass":[115],"compactness":[116],"interclass":[118],"separability,":[119],"resulting":[120],"in":[121],"improved":[122],"visual":[123],"representations.":[124],"Extensive":[125],"experiments":[126],"two":[128],"challenging":[129],"benchmarks,":[130],"V-COCO":[131],"HICO-DET,":[133],"demonstrate":[134],"effectiveness":[136],"our":[138],"model,":[139],"outperforming":[140],"current":[141],"state-of-the-art":[142],"methods":[143],"under":[144],"various":[145],"zero-shot":[146],"settings.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
