{"id":"https://openalex.org/W4403780734","doi":"https://doi.org/10.1145/3664647.3680599","title":"Benchmarking In-the-Wild Multimodal Disease Recognition and A Versatile Baseline","display_name":"Benchmarking In-the-Wild Multimodal Disease Recognition and A Versatile Baseline","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403780734","doi":"https://doi.org/10.1145/3664647.3680599"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3680599","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680599","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-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/A5014367752","display_name":"Tianqi Wei","orcid":"https://orcid.org/0009-0005-0134-6438"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Tianqi Wei","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0009-0005-0134-6438","affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456835","display_name":"Zhi Chen","orcid":"https://orcid.org/0000-0002-9385-144X"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhi Chen","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9385-144X","affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078170935","display_name":"Zi Huang","orcid":"https://orcid.org/0000-0002-9738-4949"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zi Huang","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9738-4949","affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003076238","display_name":"Xin Yu","orcid":"https://orcid.org/0000-0002-0269-5649"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xin Yu","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0269-5649","affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014367752"],"corresponding_institution_ids":["https://openalex.org/I165143802"],"apc_list":null,"apc_paid":null,"fwci":4.8984,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.9575958,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1593","last_page":"1601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9970999956130981,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9970999956130981,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9962999820709229,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9821000099182129,"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/benchmarking","display_name":"Benchmarking","score":0.8334251046180725},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.8172639608383179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6308139562606812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46554645895957947},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3359605371952057},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08606603741645813},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.050992995500564575}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8334251046180725},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.8172639608383179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6308139562606812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46554645895957947},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3359605371952057},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08606603741645813},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.050992995500564575},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3680599","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680599","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.5,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2088252378","https://openalex.org/W2194775991","https://openalex.org/W2299467264","https://openalex.org/W2989646980","https://openalex.org/W3106505022","https://openalex.org/W3182683290","https://openalex.org/W3207493267","https://openalex.org/W4307523554","https://openalex.org/W4312310776","https://openalex.org/W4313175608","https://openalex.org/W4382458283","https://openalex.org/W4386071547","https://openalex.org/W4386075985","https://openalex.org/W4387968176","https://openalex.org/W4390872508","https://openalex.org/W4390874269","https://openalex.org/W4390874324"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Existing":[0],"plant":[1,29,63,212],"disease":[2,64,73,100,124,213],"classification":[3,101],"models":[4,142],"have":[5],"achieved":[6],"remarkable":[7],"performance":[8,16],"in":[9,20,94,127,162,191],"recognizing":[10],"in-laboratory":[11],"diseased":[12],"images.":[13,23],"However,":[14],"their":[15],"often":[17],"significantly":[18],"degrades":[19],"classifying":[21],"in-the-wild":[22,28,61,99,203],"Furthermore,":[24],"we":[25,58,133],"observed":[26],"that":[27,67,141,200],"images":[30],"may":[31,46],"exhibit":[32],"similar":[33],"appearances":[34],"across":[35],"various":[36],"diseases":[37,45,186,190],"(i.e.,":[38,50],"small":[39,103,170],"inter-class":[40,104,171],"discrepancy)":[41],"while":[42],"the":[43,69,83,128,157,169,211],"same":[44],"look":[47],"quite":[48],"different":[49],"large":[51,107,174,220],"intra-class":[52,108,175],"variance).":[53],"Motivated":[54],"by":[55],"this":[56],"observation,":[57],"propose":[59],"an":[60,119],"multimodal":[62,160,204],"recognition":[65,125,214],"dataset":[66,114,205],"contains":[68],"largest":[70],"number":[71],"of":[72,159],"classes":[74],"but":[75,187],"also":[76,188],"text-based":[77],"descriptions":[78,87,144],"for":[79,122,151,224],"each":[80],"disease.":[81],"Particularly,":[82],"newly":[84],"provided":[85],"text":[86,143],"are":[88],"introduced":[89],"to":[90,210,222],"provide":[91],"rich":[92],"information":[93],"textual":[95],"modality":[96],"and":[97,106,145,173,216],"facilitate":[98],"with":[102],"discrepancy":[105,172],"variance":[109,176],"issues.":[110,177],"Therefore,":[111],"our":[112,164,179,201],"proposed":[113,202],"can":[115,166,182],"be":[116],"regarded":[117],"as":[118],"ideal":[120],"testbed":[121],"evaluating":[123],"methods":[126],"real":[129],"world.":[130],"In":[131],"addition,":[132],"further":[134],"present":[135],"a":[136,152,219],"strong":[137],"yet":[138],"versatile":[139],"baseline":[140,165,180],"visual":[146],"data":[147],"through":[148],"multiple":[149],"prototypes":[150,161],"given":[153],"class.":[154],"By":[155],"fusing":[156],"contributions":[158],"classification,":[163],"effectively":[167],"address":[168],"Remarkably,":[178],"model":[181],"not":[183],"only":[184],"classify":[185],"recognize":[189],"few-shot":[192],"or":[193],"training-free":[194],"scenarios.":[195],"Extensive":[196],"benchmarking":[197],"results":[198],"demonstrate":[199],"sets":[206],"many":[207],"new":[208],"challenges":[209],"task":[215],"there":[217],"is":[218],"space":[221],"improve":[223],"future":[225],"works.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":9}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}