{"id":"https://openalex.org/W4387969546","doi":"https://doi.org/10.1145/3581783.3612216","title":"Tran-GCN: Multi-label Pattern Image Retrieval via Transformer Driven Graph Convolutional Network","display_name":"Tran-GCN: Multi-label Pattern Image Retrieval via Transformer Driven Graph Convolutional Network","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387969546","doi":"https://doi.org/10.1145/3581783.3612216"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612216","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st 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/A5100785621","display_name":"Ying Li","orcid":"https://orcid.org/0000-0002-5695-4706"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Li","raw_affiliation_strings":["Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102961135","display_name":"Chunming Guan","orcid":"https://orcid.org/0009-0002-3498-3159"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunming Guan","raw_affiliation_strings":["Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042160928","display_name":"Rui Cai","orcid":"https://orcid.org/0009-0002-0724-4000"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Cai","raw_affiliation_strings":["Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093130802","display_name":"Ye Erwan","orcid":"https://orcid.org/0009-0009-8784-4110"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Erwan","raw_affiliation_strings":["Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093130803","display_name":"Yuxiang Ding","orcid":"https://orcid.org/0009-0000-8970-4415"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding Yuxiang","raw_affiliation_strings":["Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047780118","display_name":"Jiaquan Gao","orcid":"https://orcid.org/0000-0002-2983-9921"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaquan Gao","raw_affiliation_strings":["Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100785621"],"corresponding_institution_ids":["https://openalex.org/I152031979"],"apc_list":null,"apc_paid":null,"fwci":0.3652,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60928676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"6301","last_page":"6310"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994000196456909,"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":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.7522449493408203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6167041063308716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5978059768676758},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.566818118095398},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.544623076915741},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4976394474506378},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36514756083488464},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.0899151861667633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7522449493408203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6167041063308716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5978059768676758},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.566818118095398},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.544623076915741},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4976394474506378},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36514756083488464},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0899151861667633}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612216","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2030376154","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2413077313","display_name":null,"funder_award_id":"Grant BK20200725","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"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/G4406913046","display_name":null,"funder_award_id":"62102186","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/G6821437348","display_name":null,"funder_award_id":"K202007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7759787049","display_name":null,"funder_award_id":"BK20200725","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8867272290","display_name":null,"funder_award_id":"Grant 62102186","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/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1962468782","https://openalex.org/W1996936615","https://openalex.org/W2007972815","https://openalex.org/W2103117377","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2296096135","https://openalex.org/W2464915613","https://openalex.org/W2493727926","https://openalex.org/W2508837377","https://openalex.org/W2587717104","https://openalex.org/W2592249290","https://openalex.org/W2618604876","https://openalex.org/W2767621619","https://openalex.org/W2798834175","https://openalex.org/W2808254576","https://openalex.org/W2891071241","https://openalex.org/W2932399282","https://openalex.org/W2964280870","https://openalex.org/W2966218308","https://openalex.org/W2982112268","https://openalex.org/W2998420437","https://openalex.org/W3096609285","https://openalex.org/W3110536152","https://openalex.org/W3118608800","https://openalex.org/W3138516171","https://openalex.org/W3159460504","https://openalex.org/W3167456680","https://openalex.org/W3171625335","https://openalex.org/W3174320978","https://openalex.org/W3205765174","https://openalex.org/W4214893857","https://openalex.org/W4225654135","https://openalex.org/W4299653752","https://openalex.org/W4300435436","https://openalex.org/W4319300073"],"related_works":["https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2071180033","https://openalex.org/W2184288218","https://openalex.org/W2947282851","https://openalex.org/W2374066281","https://openalex.org/W4387423606","https://openalex.org/W2147874738","https://openalex.org/W2036058638","https://openalex.org/W2513891871"],"abstract_inverted_index":{"Pattern":[0,239],"images":[1,5,67],"are":[2],"artificially":[3],"designed":[4,112],"that":[6],"possess":[7],"distinctiveness":[8],"in":[9,215,257],"their":[10,69],"elements,":[11],"styles,":[12],"and":[13,35,41,65,96,167,194,229,253],"arrangements.":[14],"With":[15],"the":[16,86,92,97,136,144,163,191,208,243],"ever-growing":[17],"number":[18],"of":[19,47,56,138,245],"pattern":[20,22,58,78,115,236,259],"images,":[21],"image":[23,59,75,79,116,132,166,193,237,260],"retrieval":[24,60,80,261],"emerges":[25],"as":[26,39,213,231,233,263],"a":[27,109,126,154,178,216,234],"promising":[28],"technique":[29],"with":[30,68],"significant":[31],"potential":[32],"for":[33,113,250],"commercial":[34],"industrial":[36],"applications,":[37],"such":[38],"fashion":[40],"home":[42],"decoration,":[43],"facilitating":[44],"rapid":[45],"identification":[46],"preferred":[48],"print":[49,94],"patterns":[50,95],"by":[51],"users.":[52],"The":[53,201],"main":[54],"purpose":[55],"multi-label":[57,77,114,235,258],"is":[61,123,204],"to":[62,73,85,134,160,185],"effectively":[63,186],"represent":[64],"match":[66],"corresponding":[70],"labels.":[71,102],"Compared":[72],"conventional":[74],"retrieval,":[76,117],"faces":[81],"greater":[82],"challenges":[83],"due":[84],"richer":[87],"semantic":[88],"information":[89,133],"contained":[90],"within":[91],"abstract":[93],"complex":[98],"relationships":[99],"between":[100,140,165,210],"multiple":[101],"To":[103,170],"tackle":[104],"these":[105],"challenges,":[106],"we":[107,152],"propose":[108],"model":[110,122,159,176,249],"specifically":[111],"called":[118],"Tran-GCN.":[119],"Our":[120],"proposed":[121,247],"built":[124],"upon":[125],"Transformer-based":[127],"autoregressive":[128],"architecture,":[129],"which":[130],"leverages":[131],"guide":[135],"exploration":[137],"correlations":[139,164],"different":[141],"labels":[142],"through":[143,198],"textual":[145,211],"modality.":[146],"By":[147],"utilizing":[148],"this":[149],"correlation":[150,209],"information,":[151],"construct":[153],"graph":[155],"convolutional":[156],"network":[157],"(GCN)":[158],"further":[161],"enhance":[162],"label":[168,196],"representations.":[169],"be":[171],"more":[172],"specific,":[173],"our":[174,246],"Tran-GCN":[175,248],"utilizes":[177],"cross-modal":[179],"attention":[180],"mechanisms":[181],"at":[182],"each":[183],"layer":[184],"aggregate":[187],"visual":[188,226],"features":[189],"from":[190],"input":[192],"update":[195],"semantics":[197],"residual":[199],"connections.":[200],"GCN":[202],"module":[203],"updated":[205],"based":[206],"on":[207,221],"features,":[212],"represented":[214],"relationship":[217],"matrix.":[218],"Extensive":[219],"experiments":[220],"two":[222],"widely":[223],"used":[224],"public":[225],"benchmarks,":[227],"MS-COCO":[228],"NUS-WIDE,":[230],"well":[232],"dataset,":[238],"2,":[240],"consistently":[241],"demonstrate":[242],"ability":[244],"general":[251],"use":[252],"its":[254],"superior":[255],"performance":[256],"tasks":[262],"well.":[264]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
