{"id":"https://openalex.org/W4404403976","doi":"https://doi.org/10.1145/3702250.3702254","title":"Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition","display_name":"Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition","publication_year":2024,"publication_date":"2024-12-13","ids":{"openalex":"https://openalex.org/W4404403976","doi":"https://doi.org/10.1145/3702250.3702254"},"language":"en","primary_location":{"id":"doi:10.1145/3702250.3702254","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3702250.3702254","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth Indian Conference on Computer Vision Graphics and Image Processing","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3702250.3702254","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060982905","display_name":"Sayanta Adhikari","orcid":"https://orcid.org/0009-0008-3717-9223"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sayanta Adhikari","raw_affiliation_strings":["Artificial Intelligence and Machine Learning, Indian Institute of Technology Hyderabad, Hyderabad, IN","of , , India","Indian of , , India",", of , , India"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence and Machine Learning, Indian Institute of Technology Hyderabad, Hyderabad, IN","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"of , , India","institution_ids":[]},{"raw_affiliation_string":"Indian of , , India","institution_ids":[]},{"raw_affiliation_string":", of , , India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015798576","display_name":"Rishav Kumar","orcid":"https://orcid.org/0009-0006-8335-4577"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rishav Kumar","raw_affiliation_strings":["Artificial Intelligence and Machine Learning, Indian Institute of Technology Hyderabad, Hyderabad, IN"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence and Machine Learning, Indian Institute of Technology Hyderabad, Hyderabad, IN","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024899038","display_name":"Konda Reddy Mopuri","orcid":"https://orcid.org/0000-0001-8894-7212"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Konda Reddy Mopuri","raw_affiliation_strings":["Artificial Intelligence and Machine Learning, Indian Institute of Technology Hyderabad, Hyderabad, IN",", of , , India","Indian of , , India","of , , India"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence and Machine Learning, Indian Institute of Technology Hyderabad, Hyderabad, IN","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":", of , , India","institution_ids":[]},{"raw_affiliation_string":"Indian of , , India","institution_ids":[]},{"raw_affiliation_string":"of , , India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069669674","display_name":"P. Rajalakshmi","orcid":"https://orcid.org/0000-0002-7252-6728"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajalakshmi Pachamuthu","raw_affiliation_strings":["Electrical Engineering, Indian Institute of Technology Hyderabad, Hyderabad, IN","Indian of , , India","of , , India",", of , , India"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Indian Institute of Technology Hyderabad, Hyderabad, IN","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"Indian of , , India","institution_ids":[]},{"raw_affiliation_string":"of , , India","institution_ids":[]},{"raw_affiliation_string":", of , , India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024899038"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20148003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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/computer-science","display_name":"Computer science","score":0.7013224363327026},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6439041495323181},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5388180613517761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5352225303649902},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.5034083724021912},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45751044154167175},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.44473809003829956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41381555795669556},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15001782774925232},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.08204570412635803},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.067391037940979}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013224363327026},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6439041495323181},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5388180613517761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5352225303649902},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.5034083724021912},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45751044154167175},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.44473809003829956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41381555795669556},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15001782774925232},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.08204570412635803},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.067391037940979},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3702250.3702254","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3702250.3702254","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth Indian Conference on Computer Vision Graphics and Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2411.02833","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.02833","pdf_url":"https://arxiv.org/pdf/2411.02833","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3702250.3702254","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3702250.3702254","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth Indian Conference on Computer Vision Graphics and Image Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W2096733369","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2125215748","https://openalex.org/W2137881638","https://openalex.org/W2141364309","https://openalex.org/W2152571752","https://openalex.org/W2160254296","https://openalex.org/W2194775991","https://openalex.org/W2306644740","https://openalex.org/W2399953608","https://openalex.org/W2507009361","https://openalex.org/W2516809705","https://openalex.org/W2765793020","https://openalex.org/W2891503716","https://openalex.org/W2962858109","https://openalex.org/W3035253074","https://openalex.org/W3036286896","https://openalex.org/W3157950068","https://openalex.org/W4230097545","https://openalex.org/W4310895557","https://openalex.org/W4319442039","https://openalex.org/W4387055640","https://openalex.org/W4390873031","https://openalex.org/W6931259419"],"related_works":["https://openalex.org/W2035546108","https://openalex.org/W2376361520","https://openalex.org/W2133328864","https://openalex.org/W2093949997","https://openalex.org/W2570200690","https://openalex.org/W2389726244","https://openalex.org/W3030478661","https://openalex.org/W2323536476","https://openalex.org/W2104624653","https://openalex.org/W2128730003"],"abstract_inverted_index":{"Contextual":[0],"information":[1,51],"plays":[2],"a":[3,63,145],"critical":[4],"role":[5],"in":[6,15,79,159,181],"object":[7,46,80,118,178,183],"recognition":[8,47,81],"models":[9,48],"within":[10],"computer":[11],"vision,":[12],"where":[13],"changes":[14],"context":[16,31,78,122,129,135,157],"can":[17],"significantly":[18],"affect":[19],"accuracy,":[20],"underscoring":[21],"models'":[22],"dependence":[23,127],"on":[24,49,77,128,149,177],"contextual":[25,50,99],"cues.":[26],"This":[27],"study":[28],"investigates":[29],"how":[30],"manipulation":[32],"influences":[33],"both":[34],"model":[35,150],"accuracy":[36],"and":[37,86],"feature":[38,58,66,103],"attribution,":[39],"providing":[40],"insights":[41],"into":[42],"the":[43,55,71,84,96,172,182],"reliance":[44,72],"of":[45,57,65,73,98,138,174],"as":[52],"understood":[53],"through":[54,102],"lens":[56],"attribution":[59,67,104,120,158],"methods.":[60,105],"We":[61],"employ":[62],"range":[64],"techniques":[68],"to":[69,94],"decipher":[70],"deep":[74],"neural":[75],"networks":[76],"tasks.":[82],"Using":[83],"ImageNet-9":[85],"our":[87],"curated":[88],"ImageNet-CS":[89],"datasets,":[90],"we":[91],"conduct":[92],"experiments":[93],"evaluate":[95],"impact":[97],"variations,":[100],"analyzed":[101],"Our":[106,164],"findings":[107],"reveal":[108],"several":[109],"key":[110],"insights:":[111],"(a)":[112],"Correctly":[113],"classified":[114],"images":[115],"predominantly":[116],"emphasize":[117],"volume":[119,123],"over":[121],"attribution.":[124],"(b)":[125],"The":[126],"remains":[130],"relatively":[131],"stable":[132],"across":[133],"different":[134],"modifications,":[136],"irrespective":[137],"classification":[139],"accuracy.":[140],"(c)":[141],"Context":[142,153],"change":[143],"exerts":[144],"more":[146],"pronounced":[147],"effect":[148],"performance":[151],"than":[152],"perturbations.":[154],"(d)":[155],"Surprisingly,":[156],"`no-information'":[160],"scenarios":[161],"is":[162],"non-trivial.":[163],"research":[165],"moves":[166],"beyond":[167],"traditional":[168],"methods":[169],"by":[170],"assessing":[171],"implications":[173],"broad-level":[175],"modifications":[176],"recognition,":[179],"either":[180],"or":[184],"its":[185],"context.":[186]},"counts_by_year":[],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}