{"id":"https://openalex.org/W7152962095","doi":"https://doi.org/10.1109/tcsvt.2026.3682932","title":"Cross-Modality Neighborhood Attention Network for Fine-Grained Sketch-Based Image Retrieval","display_name":"Cross-Modality Neighborhood Attention Network for Fine-Grained Sketch-Based Image Retrieval","publication_year":2026,"publication_date":"2026-04-10","ids":{"openalex":"https://openalex.org/W7152962095","doi":"https://doi.org/10.1109/tcsvt.2026.3682932"},"language":null,"primary_location":{"id":"doi:10.1109/tcsvt.2026.3682932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2026.3682932","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-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/A5133091178","display_name":"Donglin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donglin Zhang","raw_affiliation_strings":["Jiangnan University"],"raw_orcid":"https://orcid.org/0000-0002-0716-0918","affiliations":[{"raw_affiliation_string":"Jiangnan University","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133384853","display_name":"Chang-Xing Li","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-Xing Li","raw_affiliation_strings":["Jiangnan University"],"raw_orcid":"https://orcid.org/0009-0004-1942-6308","affiliations":[{"raw_affiliation_string":"Jiangnan University","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133380553","display_name":"Xiao-Jun Wu","orcid":"https://orcid.org/0000-0002-0310-5778"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Jun Wu","raw_affiliation_strings":["Jiangnan University"],"raw_orcid":"https://orcid.org/0000-0002-0310-5778","affiliations":[{"raw_affiliation_string":"Jiangnan University","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31913527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"8","first_page":"12156","last_page":"12167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.7656000256538391,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.7656000256538391,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.16920000314712524,"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":0.013100000098347664,"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/image-retrieval","display_name":"Image retrieval","score":0.6646999716758728},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43459999561309814},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41839998960494995},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4050999879837036},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3628000020980835},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.35120001435279846},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3474000096321106},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.34200000762939453}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419000267982483},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6646999716758728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5853000283241272},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5130000114440918},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43459999561309814},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41839998960494995},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4050999879837036},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.35120001435279846},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3474000096321106},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.34200000762939453},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3127000033855438},{"id":"https://openalex.org/C2983174267","wikidata":"https://www.wikidata.org/wiki/Q3775098","display_name":"Video retrieval","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.30410000681877136},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.273499995470047},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2655999958515167},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.2578999996185303},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2529999911785126},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2026.3682932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2026.3682932","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4692016002","display_name":null,"funder_award_id":"62202204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G75458426","display_name":null,"funder_award_id":"JUSRP123032","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1955942245","https://openalex.org/W1972420097","https://openalex.org/W2054508433","https://openalex.org/W2124386111","https://openalex.org/W2128543433","https://openalex.org/W2153404544","https://openalex.org/W2183681795","https://openalex.org/W2185824196","https://openalex.org/W2220516595","https://openalex.org/W2371838123","https://openalex.org/W2466618734","https://openalex.org/W2467281799","https://openalex.org/W2493181180","https://openalex.org/W2511925527","https://openalex.org/W2617514884","https://openalex.org/W2776402438","https://openalex.org/W2885402090","https://openalex.org/W2962747232","https://openalex.org/W2962945761","https://openalex.org/W2969362383","https://openalex.org/W2988772405","https://openalex.org/W2994729841","https://openalex.org/W2997645545","https://openalex.org/W3034603197","https://openalex.org/W3035265375","https://openalex.org/W3107431977","https://openalex.org/W3127164946","https://openalex.org/W3129072783","https://openalex.org/W3138516171","https://openalex.org/W3163101577","https://openalex.org/W3176372702","https://openalex.org/W3177343422","https://openalex.org/W3190869708","https://openalex.org/W3198985204","https://openalex.org/W3206258929","https://openalex.org/W3207288552","https://openalex.org/W3211076469","https://openalex.org/W4213207493","https://openalex.org/W4283815156","https://openalex.org/W4285106444","https://openalex.org/W4304091670","https://openalex.org/W4304098568","https://openalex.org/W4312987526","https://openalex.org/W4321770427","https://openalex.org/W4364302131","https://openalex.org/W4382318733","https://openalex.org/W4385245566","https://openalex.org/W4385989013","https://openalex.org/W4386065553","https://openalex.org/W4386075553","https://openalex.org/W4386075743","https://openalex.org/W4386076063","https://openalex.org/W4389041224","https://openalex.org/W4400315070","https://openalex.org/W4406415191","https://openalex.org/W4412377117"],"related_works":[],"abstract_inverted_index":{"Fine-Grained":[0],"Sketch-Based":[1],"Image":[2],"Retrieval":[3],"(FG-SBIR)":[4],"is":[5,111],"a":[6,62,73,123],"challenging":[7],"task":[8],"that":[9,127,154],"focuses":[10],"on":[11,16,95,104,149],"retrieving":[12],"relevant":[13],"images":[14],"based":[15],"sketch":[17],"queries":[18],"at":[19,33,179],"the":[20,34,51,78,83,96,108,116,129],"instance":[21],"level.":[22],"Most":[23],"existing":[24,165],"works":[25],"tend":[26],"to":[27,81,114,144,163],"make":[28],"cross-modality":[29],"interactions":[30],"between":[31],"features":[32,142],"global":[35],"level":[36],"and":[37,134],"treat":[38],"each":[39],"feature":[40,131,136],"equally":[41],"when":[42],"calculating":[43],"similarity.":[44],"However,":[45],"this":[46,120],"equal":[47],"treatment":[48],"may":[49],"reduce":[50,115],"contribution":[52],"of":[53,85,173],"fine-grained":[54,145],"information.":[55],"To":[56],"address":[57],"these":[58],"challenges,":[59],"we":[60,71],"propose":[61],"novel":[63,74],"Cross-Modality":[64],"Neighborhood":[65,124],"Attention":[66],"Network,":[67],"named":[68],"CMNA-Net.":[69],"Specifically,":[70],"develop":[72],"CMNA":[75],"mechanism":[76],"in":[77,168],"proposed":[79,156],"method":[80,175],"adjust":[82],"importance":[84],"modality-agnostic":[86],"features,":[87],"which":[88],"not":[89],"only":[90],"performs":[91,101],"neighborhood":[92],"attention":[93,103],"operation":[94],"current":[97],"modality":[98,117],"but":[99],"also":[100],"cross-neighborhood":[102],"both":[105],"modalities.":[106],"Additionally,":[107],"edge":[109],"map":[110],"innovatively":[112],"introduced":[113],"gap.":[118],"Furthermore,":[119],"work":[121],"proposes":[122],"Weighted":[125],"module":[126],"integrates":[128],"local":[130],"weight":[132],"scheme":[133],"top-k":[135],"selection":[137],"strategy,":[138],"yielding":[139],"more":[140],"discriminative":[141],"tailored":[143],"retrieval.":[146],"Extensive":[147],"experiments":[148],"three":[150],"benchmark":[151],"datasets":[152],"demonstrate":[153],"our":[155,174],"CMNA-Net":[157],"can":[158],"achieve":[159],"better":[160],"performance":[161],"compared":[162],"some":[164],"state-of-the-art":[166],"methods":[167],"FG-SBIR":[169],"scenarios.":[170],"The":[171],"code":[172],"will":[176],"be":[177],"available":[178],"https://github.com/li1changxing/CMNA-Net.":[180]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-04-11T00:00:00"}