{"id":"https://openalex.org/W7168408947","doi":"https://doi.org/10.48550/arxiv.2607.12621","title":"Towards Vision-Free CIR: Attribute-Augmented Scoring and LLM-Based Reranking for Zero-Shot Composed Image Retrieval","display_name":"Towards Vision-Free CIR: Attribute-Augmented Scoring and LLM-Based Reranking for Zero-Shot Composed Image Retrieval","publication_year":2026,"publication_date":"2026-07-14","ids":{"openalex":"https://openalex.org/W7168408947","doi":"https://doi.org/10.48550/arxiv.2607.12621"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.12621","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.12621","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.12621","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140818433","display_name":"Ryotaro Shimada","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shimada, Ryotaro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140942732","display_name":"Yu-Chieh Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Yu-Chieh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140947294","display_name":"Yuji Nozawa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nozawa, Yuji","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140923941","display_name":"Youyang Ng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ng, Youyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140887348","display_name":"Osamu Torii","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Torii, Osamu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5140840555","display_name":"Yusuke Matsui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matsui, Yusuke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.659600019454956,"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":0.659600019454956,"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":0.19130000472068787,"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":0.12070000171661377,"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":0.6782000064849854},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.586899995803833},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5800999999046326},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.48260000348091125},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48240000009536743},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.34850001335144043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7957000136375427},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6782000064849854},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.586899995803833},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5800999999046326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5705999732017517},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.48260000348091125},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48240000009536743},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4503999948501587},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.34850001335144043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.30869999527931213},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.28630000352859497},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C2983174267","wikidata":"https://www.wikidata.org/wiki/Q3775098","display_name":"Video retrieval","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.12621","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.12621","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.12621","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.12621","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"work":[1],"has":[2],"shown":[3],"that":[4,56,96,124],"\"Vision-Free''":[5],"approaches":[6],"(representing":[7],"images":[8],"as":[9],"text)":[10],"can":[11,26],"be":[12],"effective":[13],"for":[14,70],"standard":[15],"image":[16],"retrieval":[17],"tasks.":[18],"However,":[19],"it":[20],"remains":[21],"unclear":[22],"whether":[23],"this":[24,48,58],"paradigm":[25],"effectively":[27],"handle":[28],"a":[29,52],"more":[30],"complex,":[31],"multimodal":[32],"task,":[33],"Composed":[34],"Image":[35],"Retrieval":[36],"(CIR),":[37],"due":[38],"to":[39],"the":[40,91,112],"inherent":[41],"information":[42],"loss":[43],"in":[44],"textual":[45],"descriptions.":[46],"In":[47],"paper,":[49],"we":[50],"introduce":[51],"Vision-Free":[53],"CIR":[54,102],"framework":[55],"addresses":[57],"challenge":[59],"through":[60],"two":[61],"key":[62],"techniques:":[63],"(1)":[64],"Attribute-Augmented":[65],"Hybrid":[66],"Scoring,":[67],"which":[68,82],"compensates":[69],"lost":[71],"visual":[72,119],"details":[73],"via":[74],"explicit":[75],"attribute":[76],"matching,":[77],"and":[78,117,128],"(2)":[79],"LLM-Based":[80,129],"Reranking,":[81],"verifies":[83],"semantic":[84,115],"consistency":[85],"of":[86],"top":[87],"candidates.":[88],"Experiments":[89],"on":[90],"open-domain":[92],"CIRR":[93],"dataset":[94],"show":[95],"our":[97,109],"approach":[98],"outperforms":[99],"existing":[100],"Zero-shot":[101],"methods":[103],"(44.04%":[104],"R@1,":[105],"+8.79%).":[106],"On":[107],"FashionIQ,":[108],"results":[110],"highlight":[111],"trade-off":[113],"between":[114],"reasoning":[116],"fine-grained":[118],"matching.":[120],"Ablation":[121],"studies":[122],"reveal":[123],"both":[125],"attribute-augmented":[126],"scoring":[127],"Reranking":[130],"consistently":[131],"improve":[132],"performance.":[133]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-16T00:00:00"}