{"id":"https://openalex.org/W4402215342","doi":"https://doi.org/10.1109/tcsvt.2024.3454227","title":"Generalization Boosted Adapter for Open-Vocabulary Segmentation","display_name":"Generalization Boosted Adapter for Open-Vocabulary Segmentation","publication_year":2024,"publication_date":"2024-09-04","ids":{"openalex":"https://openalex.org/W4402215342","doi":"https://doi.org/10.1109/tcsvt.2024.3454227"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3454227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3454227","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/A5113366662","display_name":"Wenhao Xu","orcid":"https://orcid.org/0009-0003-5789-1609"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Xu","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020628396","display_name":"Changwei Wang","orcid":"https://orcid.org/0000-0001-8259-7717"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changwei Wang","raw_affiliation_strings":["Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Key Laboratory of Computing Power Network and Information Security, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-8259-7717","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Key Laboratory of Computing Power Network and Information Security, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081221335","display_name":"Xuxiang Feng","orcid":"https://orcid.org/0000-0003-3666-9243"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuxiang Feng","raw_affiliation_strings":["Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China","Aerospace Information Research Institute, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038918940","display_name":"Rongtao Xu","orcid":"https://orcid.org/0000-0003-4619-9679"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongtao Xu","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4619-9679","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114220722","display_name":"Longzhao Huang","orcid":"https://orcid.org/0000-0002-4948-6596"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longzhao Huang","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082391073","display_name":"Zherui Zhang","orcid":"https://orcid.org/0009-0000-3385-6161"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zherui Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675165","display_name":"Li Guo","orcid":"https://orcid.org/0000-0002-9723-3294"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Guo","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9723-3294","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011919230","display_name":"Shibiao Xu","orcid":"https://orcid.org/0000-0003-4037-9900"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibiao Xu","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4037-9900","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2172,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82174845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"35","issue":"1","first_page":"520","last_page":"533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9900000095367432,"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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9900000095367432,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9351000189781189,"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/computer-science","display_name":"Computer science","score":0.6613222360610962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5972791910171509},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5129610896110535},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.4740274250507355},{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.4631471335887909},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.45738428831100464},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42614853382110596},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41077175736427307},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3553306460380554},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32678380608558655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21086344122886658},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09565863013267517},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.08875289559364319}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6613222360610962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5972791910171509},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5129610896110535},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.4740274250507355},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.4631471335887909},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.45738428831100464},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42614853382110596},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41077175736427307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3553306460380554},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32678380608558655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21086344122886658},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09565863013267517},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.08875289559364319},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3454227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3454227","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":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2573920917","display_name":null,"funder_award_id":"62162044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3454432064","display_name":null,"funder_award_id":"E2Z218020F","funder_id":"https://openalex.org/F4320335420","funder_display_name":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science"},{"id":"https://openalex.org/G6242460771","display_name":null,"funder_award_id":"JQ23014","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G6579916853","display_name":null,"funder_award_id":"62302052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7090326123","display_name":"\u7f3a\u635f\u6570\u636e\u7684\u9c81\u68d2\u975e\u5b8c\u6574\u591a\u89c6\u56fe\u5b66\u4e60\u65b9\u6cd5\u53ca\u5176\u89c6\u89c9\u5e94\u7528\u7814\u7a76","funder_award_id":"62071157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8311886428","display_name":null,"funder_award_id":"62171321","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8316038559","display_name":null,"funder_award_id":"62271074","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/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null},{"id":"https://openalex.org/F4320335420","display_name":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":94,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2011892349","https://openalex.org/W2031489346","https://openalex.org/W2125215748","https://openalex.org/W2159598136","https://openalex.org/W2737258237","https://openalex.org/W2884366600","https://openalex.org/W2924485953","https://openalex.org/W2963150697","https://openalex.org/W2968124245","https://openalex.org/W2999219213","https://openalex.org/W3028752951","https://openalex.org/W3034727830","https://openalex.org/W3035071066","https://openalex.org/W3035564946","https://openalex.org/W3044438666","https://openalex.org/W3045477169","https://openalex.org/W3048402753","https://openalex.org/W3090449556","https://openalex.org/W3091588028","https://openalex.org/W3098267758","https://openalex.org/W3176777339","https://openalex.org/W3193940683","https://openalex.org/W3198377975","https://openalex.org/W3201514487","https://openalex.org/W3216939881","https://openalex.org/W4212848489","https://openalex.org/W4226466265","https://openalex.org/W4229453513","https://openalex.org/W4283450732","https://openalex.org/W4312443924","https://openalex.org/W4312458986","https://openalex.org/W4312815172","https://openalex.org/W4312912313","https://openalex.org/W4312916726","https://openalex.org/W4312935996","https://openalex.org/W4312960937","https://openalex.org/W4312980231","https://openalex.org/W4315783894","https://openalex.org/W4318149001","https://openalex.org/W4321021726","https://openalex.org/W4360584634","https://openalex.org/W4365800600","https://openalex.org/W4366308987","https://openalex.org/W4376870219","https://openalex.org/W4379382408","https://openalex.org/W4382467532","https://openalex.org/W4385976206","https://openalex.org/W4386065432","https://openalex.org/W4386065874","https://openalex.org/W4386066070","https://openalex.org/W4386066126","https://openalex.org/W4386075561","https://openalex.org/W4386075766","https://openalex.org/W4386075819","https://openalex.org/W4386075882","https://openalex.org/W4386076397","https://openalex.org/W4386113253","https://openalex.org/W4386790226","https://openalex.org/W4387846658","https://openalex.org/W4390190100","https://openalex.org/W4390872875","https://openalex.org/W4390873343","https://openalex.org/W4390873426","https://openalex.org/W4390889734","https://openalex.org/W4391462706","https://openalex.org/W4393148303","https://openalex.org/W4393972704","https://openalex.org/W4399019097","https://openalex.org/W4399989595","https://openalex.org/W4402353981","https://openalex.org/W4402979889","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6724804524","https://openalex.org/W6755207826","https://openalex.org/W6763578275","https://openalex.org/W6774222543","https://openalex.org/W6790019176","https://openalex.org/W6791353385","https://openalex.org/W6803476161","https://openalex.org/W6810596876","https://openalex.org/W6811070434","https://openalex.org/W6811433417","https://openalex.org/W6842162983","https://openalex.org/W6846007759","https://openalex.org/W6846835116","https://openalex.org/W6849766506","https://openalex.org/W6853557853","https://openalex.org/W6855205047","https://openalex.org/W6857268527","https://openalex.org/W6857806263","https://openalex.org/W6858037043","https://openalex.org/W6860047428"],"related_works":["https://openalex.org/W2133028525","https://openalex.org/W4229060448","https://openalex.org/W4306381730","https://openalex.org/W2981692913","https://openalex.org/W3044188621","https://openalex.org/W3184035966","https://openalex.org/W2160602540","https://openalex.org/W2485605994","https://openalex.org/W4385571108","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Vision-language":[0],"models":[1],"(VLMs)":[2],"have":[3],"demonstrated":[4],"remarkable":[5],"open-vocabulary":[6,71,187],"object":[7],"recognition":[8],"capabilities,":[9],"motivating":[10],"their":[11,30],"adaptation":[12],"for":[13,40,70],"dense":[14],"prediction":[15],"tasks":[16,25],"like":[17],"segmentation.":[18,72],"However,":[19],"directly":[20],"applying":[21],"VLMs":[22,69],"to":[23,29,43,97,117],"such":[24],"remains":[26],"challenging":[27],"due":[28],"lack":[31],"of":[32,68,141,159],"pixel-level":[33],"granularity":[34],"and":[35,45,66,89,107,125,133,145,154,166,181],"the":[36,64,95,99,138,142,146,156],"limited":[37],"data":[38],"available":[39,192],"fine-tuning,":[41],"leading":[42],"overfitting":[44,152],"poor":[46],"generalization.":[47],"To":[48],"address":[49],"these":[50],"limitations,":[51],"we":[52],"propose":[53],"Generalization":[54],"Boosted":[55],"Adapter":[56,82,112],"(GBA),":[57],"a":[58,79,109,163],"novel":[59],"adapter":[60],"strategy":[61],"that":[62,84,114],"enhances":[63,155],"generalization":[65],"robustness":[67],"GBA":[73,149,169],"comprises":[74],"two":[75],"core":[76],"components:":[77],"(1)":[78],"Style":[80],"Diversification":[81],"(SDA)":[83],"decouples":[85],"features":[86],"into":[87,174],"amplitude":[88,96],"phase":[90],"components,":[91],"operating":[92],"solely":[93],"on":[94,185],"enrich":[98],"feature":[100,160],"space":[101],"representation":[102],"while":[103],"preserving":[104],"semantic":[105,120,157],"consistency;":[106],"(2)":[108],"Correlation":[110],"Constraint":[111],"(CCA)":[113],"employs":[115],"cross-attention":[116],"establish":[118],"tighter":[119],"associations":[121],"between":[122],"text":[123],"categories":[124],"target":[126],"regions,":[127],"suppressing":[128],"irrelevant":[129],"low-frequency":[130],"\u201cnoise\u201d":[131],"information":[132],"avoiding":[134],"erroneous":[135],"associations.":[136],"Through":[137],"synergistic":[139],"effect":[140],"shallow":[143],"SDA":[144],"deep":[147],"CCA,":[148],"effectively":[150],"alleviates":[151],"issues":[153],"relevance":[158],"representations.":[161],"As":[162],"simple,":[164],"efficient,":[165],"plug-and-play":[167],"component,":[168],"can":[170],"be":[171],"flexibly":[172],"integrated":[173],"various":[175],"CLIP-based":[176],"methods,":[177],"demonstrating":[178],"broad":[179],"applicability":[180],"achieving":[182],"state-of-the-art":[183],"performance":[184],"multiple":[186],"segmentation":[188],"benchmarks.":[189],"Code":[190],"are":[191],"at":[193],"<uri":[194],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[195],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/clearxu/BGA</uri>.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
