{"id":"https://openalex.org/W4291149101","doi":"https://doi.org/10.3390/sym14081666","title":"Human\u2013Object Interaction Detection with Ratio-Transformer","display_name":"Human\u2013Object Interaction Detection with Ratio-Transformer","publication_year":2022,"publication_date":"2022-08-11","ids":{"openalex":"https://openalex.org/W4291149101","doi":"https://doi.org/10.3390/sym14081666"},"language":"en","primary_location":{"id":"doi:10.3390/sym14081666","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14081666","pdf_url":"https://www.mdpi.com/2073-8994/14/8/1666/pdf?version=1660214565","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/14/8/1666/pdf?version=1660214565","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073703649","display_name":"Tianlang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianlang Wang","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Robot, School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Robot, School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430000, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112890774","display_name":"Tao Lu","orcid":"https://orcid.org/0000-0001-6749-1674"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Lu","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Robot, School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Robot, School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430000, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034251520","display_name":"Wenhua Fang","orcid":"https://orcid.org/0000-0002-0007-7951"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhua Fang","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Robot, School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Robot, School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430000, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054275925","display_name":"Yanduo Zhang","orcid":"https://orcid.org/0000-0002-7490-0939"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanduo Zhang","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Robot, School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Robot, School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430000, China","institution_ids":["https://openalex.org/I91125648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5112890774"],"corresponding_institution_ids":["https://openalex.org/I91125648"],"apc_list":{"value":1800,"currency":"CHF","value_usd":1885},"apc_paid":{"value":1800,"currency":"CHF","value_usd":1885},"fwci":0.1657,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.41714088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"14","issue":"8","first_page":"1666","last_page":"1666"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network 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/T10036","display_name":"Advanced Neural Network 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/T11605","display_name":"Visual Attention and Saliency Detection","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9979000091552734,"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/transformer","display_name":"Transformer","score":0.657223105430603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6550028920173645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5376293659210205},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5251136422157288},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.51763516664505},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.419542521238327},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41066187620162964},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.1568337082862854},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08848696947097778}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.657223105430603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6550028920173645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5376293659210205},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5251136422157288},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.51763516664505},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.419542521238327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41066187620162964},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.1568337082862854},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08848696947097778},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/sym14081666","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14081666","pdf_url":"https://www.mdpi.com/2073-8994/14/8/1666/pdf?version=1660214565","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:14f80ed8a6f4408a81b42b76bc2ac8d6","is_oa":true,"landing_page_url":"https://doaj.org/article/14f80ed8a6f4408a81b42b76bc2ac8d6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 14, Iss 8, p 1666 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/sym14081666","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14081666","pdf_url":"https://www.mdpi.com/2073-8994/14/8/1666/pdf?version=1660214565","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4291149101.pdf"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2194775991","https://openalex.org/W2888096830","https://openalex.org/W2901749036","https://openalex.org/W2962844592","https://openalex.org/W2963097937","https://openalex.org/W2964225075","https://openalex.org/W2989506311","https://openalex.org/W3035598501","https://openalex.org/W3095753865","https://openalex.org/W3096609285","https://openalex.org/W3138516171","https://openalex.org/W3171169846","https://openalex.org/W3203020760","https://openalex.org/W3217113306","https://openalex.org/W4214627427","https://openalex.org/W4226451294","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W3022252430","https://openalex.org/W4390975304","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W803346624"],"abstract_inverted_index":{"Human\u2013object":[0],"interaction":[1,244],"(HOI)":[2],"is":[3],"a":[4,31,51,126,144,148,169,187],"human-centered":[5],"object":[6],"detection":[7,48,60,97,138],"task":[8],"that":[9,253],"aims":[10],"to":[11,33,106,218,239,273],"identify":[12,35],"the":[13,27,36,64,84,88,116,121,133,155,177,184,189,194,207,220,224,228,241,249,254,258,262],"interactions":[14],"between":[15,38,71,231],"persons":[16,39,232],"and":[17,40,57,73,147,209,227,233],"objects":[18,41,234],"in":[19,42,69,120],"an":[20,43,102,108],"image.":[21],"Previous":[22],"end-to-end":[23,65],"methods":[24],"have":[25],"used":[26],"attention":[28],"mechanism":[29],"of":[30,118,143,223,261,269],"transformer":[32,52,123,149,263],"spontaneously":[34],"associations":[37],"image,":[44],"which":[45,111,172,205],"effectively":[46],"improved":[47],"accuracy;":[49],"however,":[50],"can":[53,67],"increase":[54],"computational":[55,92,134,259],"demands":[56,135],"slow":[58],"down":[59],"processes.":[61],"In":[62],"addition,":[63],"method":[66,256],"result":[68],"asymmetry":[70],"foreground":[72,77,160,178,208],"background":[74,85,162,166,210],"information.":[75],"The":[76,140,151,164,213,246],"data":[78,182,191],"may":[79],"be":[80],"significantly":[81,95,131,203],"less":[82],"than":[83],"data,":[86],"while":[87,136,199],"latter":[89],"consumes":[90],"more":[91],"resources":[93],"without":[94,266],"improving":[96],"accuracy.":[98,139],"Therefore,":[99],"we":[100],"proposed":[101,214,255],"input-controlled":[103],"transformer,":[104],"\u201cratio-transformer\u201d":[105],"solve":[107],"HOI":[109,243,276],"task,":[110],"could":[112,237],"not":[113],"only":[114],"limit":[115],"amount":[117],"information":[119,201,211,222],"input":[122,156,181,192],"by":[124,264],"setting":[125],"sampling":[127,145,152],"ratio,":[128],"but":[129],"also":[130],"reduced":[132,257],"ensuring":[137],"ratio-transformer":[141],"consisted":[142],"module":[146,153],"network.":[150],"divided":[154],"feature":[157,221],"map":[158],"into":[159,193],"versus":[161],"features.":[163],"irrelevant":[165,200],"features":[167,179,230],"were":[168,173],"pooling":[170],"sampler,":[171],"then":[174],"fused":[175],"with":[176],"as":[180,271],"for":[183],"transformer.":[185],"As":[186],"result,":[188],"valid":[190],"Transformer":[195],"network":[196,215],"remained":[197],"constant,":[198],"was":[202,216],"reduced,":[204],"maintained":[206],"symmetry.":[212],"able":[217],"learn":[219],"target":[225],"itself":[226],"association":[229],"so":[235],"it":[236],"query":[238],"obtain":[240],"complete":[242],"triplet.":[245],"experiments":[247],"on":[248],"VCOCO":[250],"dataset":[251],"showed":[252],"demand":[260],"57%":[265],"any":[267],"loss":[268],"accuracy,":[270],"compared":[272],"other":[274],"current":[275],"methods.":[277]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2022-08-13T00:00:00"}
