{"id":"https://openalex.org/W4407783808","doi":"https://doi.org/10.1109/tpami.2025.3543846","title":"Optimization of Rank Losses for Image Retrieval","display_name":"Optimization of Rank Losses for Image Retrieval","publication_year":2025,"publication_date":"2025-02-20","ids":{"openalex":"https://openalex.org/W4407783808","doi":"https://doi.org/10.1109/tpami.2025.3543846","pmid":"https://pubmed.ncbi.nlm.nih.gov/40036543"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3543846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3543846","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04975847/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069047479","display_name":"Elias Ramzi","orcid":"https://orcid.org/0000-0002-0131-2458"},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Elias Ramzi","raw_affiliation_strings":["Cnam, Paris, France"],"raw_orcid":"https://orcid.org/0000-0002-0131-2458","affiliations":[{"raw_affiliation_string":"Cnam, Paris, France","institution_ids":["https://openalex.org/I124158823"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070273069","display_name":"Nicolas Audebert","orcid":"https://orcid.org/0000-0001-6486-3102"},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Audebert","raw_affiliation_strings":["Cnam, Paris, France"],"raw_orcid":"https://orcid.org/0000-0001-6486-3102","affiliations":[{"raw_affiliation_string":"Cnam, Paris, France","institution_ids":["https://openalex.org/I124158823"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046244833","display_name":"Cl\u00e9ment Rambour","orcid":"https://orcid.org/0000-0002-9899-3201"},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Cl\u00e9ment Rambour","raw_affiliation_strings":["Cnam, Paris, France"],"raw_orcid":"https://orcid.org/0000-0002-9899-3201","affiliations":[{"raw_affiliation_string":"Cnam, Paris, France","institution_ids":["https://openalex.org/I124158823"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101666068","display_name":"Andr\u00e9 Araujo","orcid":"https://orcid.org/0000-0002-4214-6185"},"institutions":[{"id":"https://openalex.org/I4210090411","display_name":"Google DeepMind (United Kingdom)","ror":"https://ror.org/00971b260","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090411","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Araujo","raw_affiliation_strings":["Google DeepMind, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-4214-6185","affiliations":[{"raw_affiliation_string":"Google DeepMind, London, U.K","institution_ids":["https://openalex.org/I4210090411","https://openalex.org/I4210113297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041931032","display_name":"Xavier Bitot","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xavier Bitot","raw_affiliation_strings":["Coexya, Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coexya, Lyon, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017490804","display_name":"Nicolas Thome","orcid":"https://orcid.org/0000-0003-4871-3045"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Thome","raw_affiliation_strings":["Sorbonne Université, Paris, France"],"raw_orcid":"https://orcid.org/0000-0003-4871-3045","affiliations":[{"raw_affiliation_string":"Sorbonne Université, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5884,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81115895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"47","issue":"6","first_page":"4317","last_page":"4329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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":0.9998000264167786,"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":0.9937999844551086,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.651358962059021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.614067018032074},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5801843404769897},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5239387154579163},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.45781412720680237},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44705501198768616},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42348480224609375},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41991347074508667},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4102843403816223},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2516094446182251}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.651358962059021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.614067018032074},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5801843404769897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5239387154579163},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.45781412720680237},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44705501198768616},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42348480224609375},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41991347074508667},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4102843403816223},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2516094446182251},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2025.3543846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3543846","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40036543","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40036543","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:HAL:hal-04975847v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04975847","pdf_url":"https://hal.science/hal-04975847/document","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":"IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, pp.1-12. ⟨10.1109/TPAMI.2025.3543846⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04975847v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04975847","pdf_url":"https://hal.science/hal-04975847/document","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":"IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, pp.1-12. ⟨10.1109/TPAMI.2025.3543846⟩","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5762076543","display_name":"Artificial Intelligence for Health, Physical Models, Transportation and Defense","funder_award_id":"ANR-20-THIA-0002","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320326256","display_name":"Grand \u00c9quipement National De Calcul Intensif","ror":"https://ror.org/0010d1q40"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407783808.pdf","grobid_xml":"https://content.openalex.org/works/W4407783808.grobid-xml"},"referenced_works_count":82,"referenced_works":["https://openalex.org/W1530210183","https://openalex.org/W1797268635","https://openalex.org/W1987488988","https://openalex.org/W1987500252","https://openalex.org/W1990441362","https://openalex.org/W2001832483","https://openalex.org/W2059001985","https://openalex.org/W2066214309","https://openalex.org/W2069870183","https://openalex.org/W2070192299","https://openalex.org/W2073761981","https://openalex.org/W2081580037","https://openalex.org/W2108598243","https://openalex.org/W2127176025","https://openalex.org/W2128877075","https://openalex.org/W2138011018","https://openalex.org/W2138621090","https://openalex.org/W2143331230","https://openalex.org/W2156296249","https://openalex.org/W2319223103","https://openalex.org/W2469455946","https://openalex.org/W2471768434","https://openalex.org/W2544587078","https://openalex.org/W2605102252","https://openalex.org/W2606611007","https://openalex.org/W2782482721","https://openalex.org/W2797977484","https://openalex.org/W2895347732","https://openalex.org/W2935850529","https://openalex.org/W2948638722","https://openalex.org/W2953271441","https://openalex.org/W2955669675","https://openalex.org/W2962898354","https://openalex.org/W2963026686","https://openalex.org/W2963055199","https://openalex.org/W2963125676","https://openalex.org/W2963154697","https://openalex.org/W2963284197","https://openalex.org/W2963305974","https://openalex.org/W2963350250","https://openalex.org/W2964049460","https://openalex.org/W2964271799","https://openalex.org/W2969985801","https://openalex.org/W2982693525","https://openalex.org/W2990519439","https://openalex.org/W2991581349","https://openalex.org/W3034941949","https://openalex.org/W3035014997","https://openalex.org/W3035305184","https://openalex.org/W3035406632","https://openalex.org/W3038054432","https://openalex.org/W3098656025","https://openalex.org/W3106778652","https://openalex.org/W3109485382","https://openalex.org/W3109894131","https://openalex.org/W3128099838","https://openalex.org/W3155414281","https://openalex.org/W3155521759","https://openalex.org/W3166091781","https://openalex.org/W3170874841","https://openalex.org/W3186114348","https://openalex.org/W3194928777","https://openalex.org/W4251504464","https://openalex.org/W4256046779","https://openalex.org/W4284990026","https://openalex.org/W4312411699","https://openalex.org/W6631787827","https://openalex.org/W6638319203","https://openalex.org/W6677328822","https://openalex.org/W6683338658","https://openalex.org/W6729100687","https://openalex.org/W6730323794","https://openalex.org/W6747225742","https://openalex.org/W6747597888","https://openalex.org/W6766776083","https://openalex.org/W6770812723","https://openalex.org/W6784725968","https://openalex.org/W6784899817","https://openalex.org/W6788135285","https://openalex.org/W6790570412","https://openalex.org/W6791353385","https://openalex.org/W6802419594"],"related_works":["https://openalex.org/W2112835755","https://openalex.org/W4291951920","https://openalex.org/W2349674371","https://openalex.org/W2097495471","https://openalex.org/W1696545756","https://openalex.org/W2952827811","https://openalex.org/W2056202066","https://openalex.org/W2963262648","https://openalex.org/W4301867002","https://openalex.org/W2056790378"],"abstract_inverted_index":{"In":[0,23],"image":[1,123,135],"retrieval,":[2],"standard":[3,120],"evaluation":[4],"metrics":[5,121],"rely":[6],"on":[7,109],"score":[8],"ranking,":[9],"e.g.":[10],"average":[11,145],"precision":[12,146],"(AP),":[13],"recall":[14],"at":[15],"k":[16],"(R@k),":[17],"normalized":[18],"discounted":[19],"cumulative":[20],"gain":[21],"(NDCG).":[22],"this":[24],"work,":[25],"we":[26,57,85,129,161],"introduce":[27,138],"a":[28,59,87,171],"general":[29,60],"framework":[30,117,132],"for":[31,43,62,77,122],"robust":[32,82],"and":[33,54,80,106,126,152],"decomposable":[34],"rank":[35,51,78],"losses":[36,79,105],"optimization.":[37],"It":[38,73],"addresses":[39],"two":[40,119],"major":[41],"challenges":[42],"end-to-end":[44],"training":[45,112],"of":[46,103,141],"deep":[47],"neural":[48],"networks":[49],"with":[50],"losses:":[52],"non-differentiability":[53],"non-decomposability.":[55],"First,":[56],"propose":[58],"surrogate":[61],"ranking":[63,104],"operator,":[64],"SupRank,":[65],"that":[66],"is":[67],"amenable":[68],"to":[69,93,118,133,174],"stochastic":[70],"gradient":[71],"descent.":[72],"provides":[74],"an":[75,139],"upperbound":[76],"ensures":[81],"training.":[83],"Second,":[84],"use":[86,170],"simple":[88],"yet":[89],"effective":[90],"loss":[91],"function":[92],"reduce":[94],"the":[95,99,110,143,158,163,179],"decomposability":[96],"gap":[97],"between":[98],"averaged":[100],"batch":[101],"approximation":[102],"their":[107],"values":[108],"whole":[111],"set.":[113],"We":[114,137,169],"apply":[115,130],"our":[116,131],"retrieval:":[124],"AP":[125,150],"R@k.":[127],"Additionally,":[128],"hierarchical":[134,144,165,176],"retrieval.":[136],"extension":[140],"AP,":[142],"$\\mathcal":[147],"{H}{\\mathrm":[148],"-AP}$H-":[149],",":[151],"optimize":[153],"it":[154],"as":[155,157],"well":[156],"NDCG.":[159],"Finally,":[160],"create":[162,175],"first":[164],"landmarks":[166],"retrieval":[167],"dataset.":[168,185],"semi-automatic":[172],"pipeline":[173],"labels,":[177],"extending":[178],"large":[180],"scale":[181],"Google":[182],"Landmarks":[183],"v2":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}