{"id":"https://openalex.org/W7134961557","doi":"https://doi.org/10.1109/tcsvt.2026.3672454","title":"QANet: Query-Aware Multi-Modal Prior Refinement for Few-Shot Segmentation","display_name":"QANet: Query-Aware Multi-Modal Prior Refinement for Few-Shot Segmentation","publication_year":2026,"publication_date":"2026-03-10","ids":{"openalex":"https://openalex.org/W7134961557","doi":"https://doi.org/10.1109/tcsvt.2026.3672454"},"language":null,"primary_location":{"id":"doi:10.1109/tcsvt.2026.3672454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2026.3672454","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/A5028921727","display_name":"Qiang Jiao","orcid":"https://orcid.org/0000-0002-4725-5284"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Jiao","raw_affiliation_strings":["Xidian University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-4725-5284","affiliations":[{"raw_affiliation_string":"Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118808375","display_name":"Mengrui Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengrui Shi","raw_affiliation_strings":["Xidian University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0005-2441-3357","affiliations":[{"raw_affiliation_string":"Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128736393","display_name":"Yi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["Xidian University, Xi’an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":null,"display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0002-2828-9905"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zhang","raw_affiliation_strings":["Xidian University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-2828-9905","affiliations":[{"raw_affiliation_string":"Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28735896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"7","first_page":"10721","last_page":"10736"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.6697999835014343,"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":0.6697999835014343,"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":0.14339999854564667,"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":0.07079999893903732,"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/prior-probability","display_name":"Prior probability","score":0.930400013923645},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7746000289916992},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7017999887466431},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5527999997138977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4814000129699707},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4278999865055084}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.930400013923645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.795799970626831},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7746000289916992},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7017999887466431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6797999739646912},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5527999997138977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4814000129699707},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4278999865055084},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3817000091075897},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2637999951839447}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2026.3672454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2026.3672454","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/G1611578116","display_name":null,"funder_award_id":"No.62541326","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4657152235","display_name":null,"funder_award_id":"62541326","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4682684263","display_name":null,"funder_award_id":"ZYTS24022","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5205994240","display_name":null,"funder_award_id":"No.ZYTS24022","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6572263441","display_name":null,"funder_award_id":"No.61803290","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8220076142","display_name":null,"funder_award_id":"61803290","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8409110369","display_name":null,"funder_award_id":"L2025-ZDKJ-ZDGG-RGZN-001","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":50,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W2031489346","https://openalex.org/W2144794286","https://openalex.org/W2507296351","https://openalex.org/W2963078159","https://openalex.org/W2981787211","https://openalex.org/W2983850069","https://openalex.org/W2990230185","https://openalex.org/W3033502887","https://openalex.org/W3047258141","https://openalex.org/W3108189450","https://openalex.org/W3166016280","https://openalex.org/W4214893857","https://openalex.org/W4221153269","https://openalex.org/W4226058394","https://openalex.org/W4312420092","https://openalex.org/W4312901617","https://openalex.org/W4313139043","https://openalex.org/W4313196086","https://openalex.org/W4362683490","https://openalex.org/W4385245566","https://openalex.org/W4386066138","https://openalex.org/W4386071798","https://openalex.org/W4386075561","https://openalex.org/W4386833253","https://openalex.org/W4391216174","https://openalex.org/W4391454478","https://openalex.org/W4393159443","https://openalex.org/W4394585876","https://openalex.org/W4399939408","https://openalex.org/W4402557624","https://openalex.org/W4402703098","https://openalex.org/W4402727134","https://openalex.org/W4402753894","https://openalex.org/W4402781012","https://openalex.org/W4403722461","https://openalex.org/W4405520837","https://openalex.org/W4405934235","https://openalex.org/W4407937888","https://openalex.org/W4408399535","https://openalex.org/W4409365387","https://openalex.org/W4409474118","https://openalex.org/W4410738052","https://openalex.org/W4412030634","https://openalex.org/W4412403845","https://openalex.org/W4413145456","https://openalex.org/W4413147267","https://openalex.org/W4415796461","https://openalex.org/W7133196079"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"Few-Shot":[1],"Segmentation":[2],"(FSS)":[3],"approaches":[4],"incorporate":[5],"vision-language":[6],"models":[7],"to":[8,145],"improve":[9],"segmentation":[10,62],"by":[11,63],"constructing":[12],"multi-modal":[13,44,54,174],"priors,":[14],"including":[15],"visual,":[16],"CAM":[17,87,140],"and":[18,33,86,90,95,114,128,139,154,195],"textual":[19,101,160,163],"priors.":[20,161,175],"However,":[21],"these":[22,38],"priors":[23,55,141,164],"are":[24,56,121,142,165],"often":[25],"suboptimal,":[26],"suffering":[27],"from":[28,68],"background":[29,126],"interference,":[30],"incomplete":[31],"activation":[32],"semantic":[34],"misalignment.":[35],"To":[36],"address":[37],"limitations,":[39],"we":[40],"propose":[41],"a":[42,77,91,108,115],"query-aware":[43,159],"prior":[45,88,102,118],"refinement":[46,119],"framework":[47],"(QANet)":[48],"for":[49,59,84,100,124,149],"FSS,":[50],"in":[51,106,134],"which":[52],"the":[53,169],"jointly":[57],"refined":[58,137,173],"more":[60],"accurate":[61],"fully":[64],"exploiting":[65],"target-relevant":[66,147],"cues":[67,148],"query":[69,109,116],"features.":[70],"Specifically,":[71],"QANet":[72,183,189],"comprises":[73],"two":[74],"modules,":[75],"i.e.,":[76],"Query-aware":[78],"Multi-modal":[79],"Prior":[80,96],"Refinement":[81,97],"(QMPR)":[82],"module":[83,99],"visual":[85,138],"refinement,":[89],"Query-Aware":[92],"Textual":[93],"Embedding":[94],"(QTEPR)":[98],"refinement.":[103],"More":[104],"specifically,":[105],"QMPR,":[107],"self-attention":[110],"bilateral-guided":[111],"enhancement":[112],"strategy":[113,120],"self-similarity":[117],"carefully":[122],"designed":[123],"suppressing":[125],"interferences":[127],"recovering":[129],"foreground":[130],"completeness,":[131],"respectively.":[132],"And":[133],"QTEPR,":[135],"such":[136],"first":[143],"leveraged":[144],"extract":[146],"visual-textual":[150],"domain":[151],"gap":[152],"mitigation":[153],"text":[155],"embedding":[156],"enhancement,":[157],"producing":[158],"These":[162],"then":[166],"enhanced":[167],"under":[168],"guidance":[170],"of":[171],"those":[172],"Extensive":[176],"experiments":[177],"on":[178,192],"PASCAL-5iand":[179],"COCO-20idatasets":[180],"demonstrate":[181],"that":[182],"achieves":[184],"new":[185],"state-of-the-art":[186],"performance.":[187],"Moreover,":[188],"remains":[190],"competitive":[191],"cross-domain":[193],"FSS":[194,197],"weak-label":[196],"tasks.":[198]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-03-12T00:00:00"}