{"id":"https://openalex.org/W2904323922","doi":"https://doi.org/10.1609/aaai.v33i01.33018110","title":"MR-NET: Exploiting Mutual Relation for Visual Relationship Detection","display_name":"MR-NET: Exploiting Mutual Relation for Visual Relationship Detection","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904323922","doi":"https://doi.org/10.1609/aaai.v33i01.33018110","mag":"2904323922"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33018110","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018110","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4819/4692","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4819/4692","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024408423","display_name":"Yi Bin","orcid":"https://orcid.org/0000-0001-9714-8738"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Bin","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397616","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5070-4511"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006519974","display_name":"Chaofan Tao","orcid":"https://orcid.org/0000-0002-6093-0854"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaofan Tao","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078170935","display_name":"Zi Huang","orcid":"https://orcid.org/0000-0002-9738-4949"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zi Huang","raw_affiliation_strings":["University of Queensland"],"affiliations":[{"raw_affiliation_string":"University of Queensland","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338386","display_name":"Jingjing Li","orcid":"https://orcid.org/0000-0002-5504-2529"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Li","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052993469","display_name":"Heng Tao Shen","orcid":"https://orcid.org/0000-0002-2999-2088"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Tao Shen","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5024408423"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":2.0807,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.90411437,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"33","issue":"01","first_page":"8110","last_page":"8117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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":0.9987999796867371,"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":0.9915000200271606,"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/mutual-information","display_name":"Mutual information","score":0.844086229801178},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.8322316408157349},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7230055332183838},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7058517336845398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6268552541732788},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4889053404331207},{"id":"https://openalex.org/keywords/pointwise-mutual-information","display_name":"Pointwise mutual information","score":0.48792406916618347},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4874301254749298},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4764990210533142},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4678918421268463},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3416292667388916},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2840559482574463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2566935122013092},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24861949682235718},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18284320831298828}],"concepts":[{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.844086229801178},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.8322316408157349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7230055332183838},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7058517336845398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6268552541732788},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4889053404331207},{"id":"https://openalex.org/C7797323","wikidata":"https://www.wikidata.org/wiki/Q3798612","display_name":"Pointwise mutual information","level":3,"score":0.48792406916618347},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4874301254749298},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4764990210533142},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4678918421268463},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3416292667388916},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2840559482574463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2566935122013092},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24861949682235718},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18284320831298828},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33018110","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018110","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4819/4692","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:espace.library.uq.edu.au:UQ:d7bcc98","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402388","display_name":"Queensland's institutional digital repository (The University of Queensland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165143802","host_organization_name":"The University of Queensland","host_organization_lineage":["https://openalex.org/I165143802"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33018110","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018110","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4819/4692","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1816382614","display_name":null,"funder_award_id":"61572108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3623292902","display_name":null,"funder_award_id":"61632007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8863666567","display_name":null,"funder_award_id":"and No.","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904323922.pdf","grobid_xml":"https://content.openalex.org/works/W2904323922.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W139443163","https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W2049705550","https://openalex.org/W2108598243","https://openalex.org/W2153579005","https://openalex.org/W2157364932","https://openalex.org/W2163605009","https://openalex.org/W2167052694","https://openalex.org/W2250539671","https://openalex.org/W2277195237","https://openalex.org/W2479423890","https://openalex.org/W2579549467","https://openalex.org/W2591644541","https://openalex.org/W2595373712","https://openalex.org/W2607855566","https://openalex.org/W2613718673","https://openalex.org/W2618530766","https://openalex.org/W2739107216","https://openalex.org/W2740962769","https://openalex.org/W2751404079","https://openalex.org/W2756246624","https://openalex.org/W2766237723","https://openalex.org/W2769277182","https://openalex.org/W2773071069","https://openalex.org/W2777602943","https://openalex.org/W2788537604","https://openalex.org/W2789177853","https://openalex.org/W2797915683","https://openalex.org/W2803620531","https://openalex.org/W2887967003","https://openalex.org/W2895972626","https://openalex.org/W2896603934","https://openalex.org/W2963536419","https://openalex.org/W2963649796","https://openalex.org/W2963650529","https://openalex.org/W2963683498","https://openalex.org/W4294170691","https://openalex.org/W6662847325","https://openalex.org/W6676297131","https://openalex.org/W6684820515","https://openalex.org/W6691431627","https://openalex.org/W6721769334","https://openalex.org/W6732298944","https://openalex.org/W6741749611","https://openalex.org/W6752371315","https://openalex.org/W7057192126"],"related_works":["https://openalex.org/W3175885493","https://openalex.org/W2990064463","https://openalex.org/W2101924850","https://openalex.org/W2188315358","https://openalex.org/W2530029028","https://openalex.org/W4387724891","https://openalex.org/W2137853824","https://openalex.org/W2165143551","https://openalex.org/W2136482299","https://openalex.org/W31749436"],"abstract_inverted_index":{"Inferring":[0],"the":[1,29,43,68,87,99,122,158,183,187],"interactions":[2],"between":[3,31,46,71],"objects,":[4,47,92],"a.k.a":[5],"visual":[6,53,75],"relationship":[7,76],"detection,":[8],"is":[9,49,103,143],"a":[10,32,37,60,81,131,168],"crucial":[11],"point":[12],"for":[13,74],"vision":[14],"understanding,":[15],"which":[16,48,102,142],"captures":[17],"more":[18],"definite":[19],"concepts":[20],"than":[21],"object":[22],"detection.":[23,77],"Most":[24],"previous":[25],"work":[26],"that":[27],"treats":[28],"interaction":[30,89],"pair":[33],"of":[34,90,124,186],"objects":[35,73],"as":[36],"one":[38],"way":[39],"fail":[40],"to":[41,51,66,85,97,120,135],"exploit":[42],"mutual":[44,61,69,82,88,100,105,109,159],"relation":[45,62,70,83,106,110,160],"essential":[50],"modern":[52],"application.":[54],"In":[55,127],"this":[56],"work,":[57],"we":[58,79,129],"propose":[59],"net,":[63],"dubbed":[64],"MR-Net,":[65],"explore":[67],"paired":[72,91],"Specifically,":[78],"construct":[80],"space":[84],"model":[86],"and":[93,117,180],"employ":[94],"linear":[95],"constraint":[96],"optimize":[98],"interaction,":[101],"called":[104],"learning.":[107],"Our":[108],"learning":[111,161],"does":[112],"not":[113],"introduce":[114],"any":[115],"parameters,":[116],"can":[118],"adapt":[119],"improve":[121],"performance":[123,185],"other":[125],"methods.":[126],"addition,":[128],"devise":[130],"semantic":[132,140,164],"ranking":[133,165],"loss":[134,147,166],"discriminatively":[136],"penalize":[137],"predicates":[138],"with":[139,152,163,167],"similarity,":[141],"ignored":[144],"by":[145],"traditional":[146],"function":[148],"(e.g.,":[149],"cross":[150],"entropy":[151],"softmax).":[153],"Then,":[154],"our":[155],"MR-Net":[156],"optimizes":[157],"together":[162],"siamese":[169],"network.":[170],"The":[171],"experimental":[172],"results":[173],"on":[174],"two":[175],"commonly":[176],"used":[177],"datasets":[178],"(VG":[179],"VRD)":[181],"demonstrate":[182],"superior":[184],"proposed":[188],"approach.":[189]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}