{"id":"https://openalex.org/W7154125089","doi":"https://doi.org/10.48550/arxiv.2604.09114","title":"FIRE-CIR: Fine-grained Reasoning for Composed Fashion Image Retrieval","display_name":"FIRE-CIR: Fine-grained Reasoning for Composed Fashion Image Retrieval","publication_year":2026,"publication_date":"2026-04-10","ids":{"openalex":"https://openalex.org/W7154125089","doi":"https://doi.org/10.48550/arxiv.2604.09114"},"language":"en","primary_location":{"id":"pmh:oai:HAL:hal-05586926v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05586926","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Findings of CVPR 2026 - Findings of the Conference on Computer Vision and Pattern Recognition 2026, Jun 2026, Denver (Colorado), United States","raw_type":"info:eu-repo/semantics/conferenceObject"},"type":"conference-paper","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-05586926","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043042754","display_name":"Fran\u00e7ois Gard\u00e8res","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gard\u00e8res, Fran\u00e7ois","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047800713","display_name":"Camille-Sovanneary Gauthier","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gauthier, Camille-Sovanneary","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133487131","display_name":"Jean Ponce","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ponce, Jean","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133492587","display_name":"Shizhe Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Shizhe","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38486493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":0.97079998254776,"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":0.97079998254776,"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":0.01590000092983246,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.003100000089034438,"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/interpretability","display_name":"Interpretability","score":0.9488000273704529},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7271999716758728},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7210000157356262},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5918999910354614},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.5464000105857849},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.541700005531311},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.47609999775886536},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.4699000120162964}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9488000273704529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423999905586243},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7271999716758728},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7210000157356262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6625000238418579},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5918999910354614},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.5464000105857849},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.541700005531311},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.47609999775886536},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.4699000120162964},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4320000112056732},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35089999437332153},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3474999964237213},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3280999958515167},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.28209999203681946},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2667999863624573},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2556999921798706},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:HAL:hal-05586926v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05586926","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Findings of CVPR 2026 - Findings of the Conference on Computer Vision and Pattern Recognition 2026, Jun 2026, Denver (Colorado), United States","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.2604.09114","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09114","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-05586926v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05586926","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Findings of CVPR 2026 - Findings of the Conference on Computer Vision and Pattern Recognition 2026, Jun 2026, Denver (Colorado), United States","raw_type":"info:eu-repo/semantics/conferenceObject"},"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":{"Composed":[0],"image":[1,9,14],"retrieval":[2,177,186],"(CIR)":[3],"aims":[4],"to":[5,43,47,51,81,151],"retrieve":[6],"a":[7,12,17,35,73,122,128],"target":[8],"that":[10,75,171],"depicts":[11],"reference":[13,115],"modified":[15],"by":[16,29],"textual":[18],"description.":[19],"While":[20],"recent":[21],"vision-language":[22],"models":[23],"(VLMs)":[24],"achieve":[25],"promising":[26],"CIR":[27],"performance":[28],"embedding":[30,89],"images":[31,157],"and":[32,49,57,79,107,116],"text":[33],"into":[34,185],"shared":[36],"space":[37],"for":[38],"retrieval,":[39,144],"they":[40],"often":[41],"fail":[42],"reason":[44],"about":[45],"what":[46,50],"preserve":[48],"change.":[52],"This":[53],"limitation":[54],"hinders":[55],"interpretability":[56,80],"yields":[58],"suboptimal":[59],"results,":[60,154],"particularly":[61],"in":[62,113,176],"fine-grained":[63],"domains":[64],"like":[65],"fashion.":[66],"In":[67],"this":[68,148],"paper,":[69],"we":[70,125],"introduce":[71],"FIRE-CIR,":[72],"model":[74,146],"brings":[76],"compositional":[77],"reasoning":[78,123,150],"fashion":[82],"CIR.":[83],"Instead":[84],"of":[85],"relying":[86],"solely":[87],"on":[88,165],"similarity,":[90],"FIRE-CIR":[91,172],"performs":[92],"question-driven":[93],"visual":[94,100,111,131],"reasoning:":[95],"it":[96],"automatically":[97,126],"generates":[98],"attribute-focused":[99],"questions":[101,136],"derived":[102],"from":[103],"the":[104,109,160,166],"modification":[105],"text,":[106],"verifies":[108],"corresponding":[110],"evidence":[112],"both":[114],"candidate":[117,153],"images.":[118],"To":[119],"train":[120],"such":[121],"system,":[124],"construct":[127],"large-scale":[129],"fashion-specific":[130],"question":[132],"answering":[133],"dataset,":[134],"containing":[135],"requiring":[137],"either":[138],"single-":[139],"or":[140],"dual-image":[141],"analysis.":[142],"During":[143],"our":[145],"leverages":[147],"explicit":[149],"re-rank":[152],"filtering":[155],"out":[156],"inconsistent":[158],"with":[159],"intended":[161],"modifications.":[162],"Experimental":[163],"results":[164],"Fashion":[167],"IQ":[168],"benchmark":[169],"show":[170],"outperforms":[173],"state-of-the-art":[174],"methods":[175],"accuracy.":[178],"It":[179],"also":[180],"provides":[181],"interpretable,":[182],"attribute-level":[183],"insights":[184],"decisions.":[187]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-04-14T00:00:00"}