{"id":"https://openalex.org/W7160986314","doi":"https://doi.org/10.48550/arxiv.2605.12017","title":"FAME: Feature Activation Map Explanation on Image Classification and Face Recognition","display_name":"FAME: Feature Activation Map Explanation on Image Classification and Face Recognition","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7160986314","doi":"https://doi.org/10.48550/arxiv.2605.12017"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.12017","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12017","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.12017","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136028271","display_name":"Xinyi Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xinyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5064221367","display_name":"Manuel G\u00fcnther","orcid":"https://orcid.org/0000-0003-1489-7448"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G\u00fcnther, Manuel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9172999858856201,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9172999858856201,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.03840000182390213,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.01140000019222498,"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/feature","display_name":"Feature (linguistics)","score":0.684499979019165},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6643999814987183},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6021000146865845},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5974000096321106},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5648999810218811},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47760000824928284},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.46459999680519104}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7870000004768372},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.684499979019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.673799991607666},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6643999814987183},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6021000146865845},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5974000096321106},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5648999810218811},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47760000824928284},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.46459999680519104},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43320000171661377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42320001125335693},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4092000126838684},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.3840999901294708},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37950000166893005},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3538999855518341},{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.3109999895095825},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.28220000863075256}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.12017","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12017","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.12017","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12017","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Deep":[0],"Learning":[1],"has":[2],"revolutionized":[3],"machine":[4],"learning,":[5],"reaching":[6],"unprecedented":[7],"levels":[8],"of":[9,15,55,126],"accuracy,":[10],"but":[11],"at":[12],"the":[13,53,56,62,79,86,106,116,124,127,152],"cost":[14],"reduced":[16],"interpretability.":[17],"Especially":[18],"in":[19,33,157],"image":[20,42,57,87,174],"processing":[21,43],"systems,":[22],"deep":[23],"networks":[24],"transform":[25],"local":[26],"pixel":[27],"information":[28],"into":[29],"more":[30],"global":[31],"concepts":[32],"a":[34,158],"highly":[35],"obscured":[36],"manner.":[37],"Explainable":[38],"AI":[39],"methods":[40],"for":[41,61,188],"try":[44,109],"to":[45,85,110,148,151],"shed":[46],"light":[47],"on":[48,78,105,170],"this":[49,131,168],"issue":[50],"by":[51,97,114,144],"highlighting":[52],"regions":[54],"that":[58,90,181,196,201],"are":[59,94,202],"important":[60],"prediction":[63],"task.":[64],"Among":[65],"these,":[66],"Class":[67],"Activation":[68,136],"Mapping":[69],"(CAM)":[70],"and":[71,82,121,176,179,193],"its":[72],"gradient-based":[73],"variants":[74],"compute":[75,149],"attributions":[76,113],"based":[77],"feature":[80,91],"map":[81,92],"upscale":[83],"them":[84],"resolution,":[88],"assuming":[89],"locations":[93],"influenced":[95],"only":[96],"underlying":[98],"regions.":[99],"Perturbation-based":[100],"methods,":[101],"such":[102],"as":[103],"CorrRISE,":[104],"other":[107],"hand,":[108],"provide":[111],"pixel-level":[112],"perturbing":[115],"input":[117,153],"with":[118],"fixed":[119,164],"patches":[120],"checking":[122],"how":[123],"output":[125],"network":[128,146],"changes.":[129],"In":[130],"work,":[132],"we":[133],"propose":[134],"Feature":[135],"Map":[137],"Explanation":[138],"(FAME),":[139],"which":[140],"combines":[141],"both":[142],"worlds":[143],"using":[145,163],"gradients":[147],"changes":[150],"image,":[154],"manipulating":[155],"it":[156],"gradient-driven":[159],"way":[160],"rather":[161],"than":[162],"patches.":[165],"We":[166,191],"apply":[167],"technique":[169],"two":[171],"common":[172],"tasks,":[173],"classification":[175],"face":[177],"recognition,":[178],"show":[180,195],"CAM's":[182],"above-mentioned":[183],"assumption":[184],"does":[185],"not":[186],"hold":[187],"deeper":[189],"networks.":[190],"qualitatively":[192],"quantitively":[194],"FAME":[197],"produces":[198],"attribution":[199],"maps":[200],"competitive":[203],"state-of-the-art":[204],"systems.":[205],"Our":[206],"code":[207],"is":[208],"available:":[209],"{\\footnotesize":[210],"https://github.com/AIML-IfI/fame.}":[211]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-14T00:00:00"}