{"id":"https://openalex.org/W3201326110","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533289","title":"How saccadic vision might help with the interpretability of deep networks","display_name":"How saccadic vision might help with the interpretability of deep networks","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3201326110","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533289","mag":"3201326110"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010764507","display_name":"Iana Sereda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110164","display_name":"Institute of Electronic Measurements KVARZ (Russia)","ror":"https://ror.org/01ykzp537","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210110164"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Iana Sereda","raw_affiliation_strings":["Research and Education Center Mathematics of Future Technologies,Nizhny Novgorod,Russia","Research and Education Center Mathematics of Future Technologies, Nizhny Novgorod, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Education Center Mathematics of Future Technologies,Nizhny Novgorod,Russia","institution_ids":["https://openalex.org/I4210110164"]},{"raw_affiliation_string":"Research and Education Center Mathematics of Future Technologies, Nizhny Novgorod, Russia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013248700","display_name":"Grigory V. Osipov","orcid":"https://orcid.org/0000-0003-2841-8399"},"institutions":[{"id":"https://openalex.org/I4210110164","display_name":"Institute of Electronic Measurements KVARZ (Russia)","ror":"https://ror.org/01ykzp537","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210110164"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Grigory Osipov","raw_affiliation_strings":["Research and Education Center Mathematics of Future Technologies,Nizhny Novgorod,Russia","Research and Education Center Mathematics of Future Technologies, Nizhny Novgorod, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Education Center Mathematics of Future Technologies,Nizhny Novgorod,Russia","institution_ids":["https://openalex.org/I4210110164"]},{"raw_affiliation_string":"Research and Education Center Mathematics of Future Technologies, Nizhny Novgorod, Russia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210110164"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11303098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9934999942779541,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9934999942779541,"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/T10320","display_name":"Neural Networks and Applications","score":0.9916999936103821,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9911999702453613,"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/interpretability","display_name":"Interpretability","score":0.9707462787628174},{"id":"https://openalex.org/keywords/saccadic-masking","display_name":"Saccadic masking","score":0.819116473197937},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.7313848733901978},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7069275379180908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.654162585735321},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5719690322875977},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5406202673912048},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4930977523326874},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40195232629776},{"id":"https://openalex.org/keywords/eye-movement","display_name":"Eye movement","score":0.1934550702571869},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.13970190286636353},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10538551211357117},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.104363352060318}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9707462787628174},{"id":"https://openalex.org/C11054436","wikidata":"https://www.wikidata.org/wiki/Q7396580","display_name":"Saccadic masking","level":3,"score":0.819116473197937},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.7313848733901978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7069275379180908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.654162585735321},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5719690322875977},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5406202673912048},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4930977523326874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40195232629776},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.1934550702571869},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.13970190286636353},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10538551211357117},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.104363352060318},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W85152245","https://openalex.org/W639708223","https://openalex.org/W1970792572","https://openalex.org/W1998375165","https://openalex.org/W2059156134","https://openalex.org/W2123213117","https://openalex.org/W2126231638","https://openalex.org/W2213060096","https://openalex.org/W2277195237","https://openalex.org/W2579549467","https://openalex.org/W2702116941","https://openalex.org/W2743151379","https://openalex.org/W2767106145","https://openalex.org/W2788902455","https://openalex.org/W2884238387","https://openalex.org/W2886970679","https://openalex.org/W2901087709","https://openalex.org/W2913314773","https://openalex.org/W2951527505","https://openalex.org/W2962770929","https://openalex.org/W2963403868","https://openalex.org/W2963560049","https://openalex.org/W2963623257","https://openalex.org/W2966284335","https://openalex.org/W3004895274","https://openalex.org/W3009131631","https://openalex.org/W3021060239","https://openalex.org/W3090874342","https://openalex.org/W3091994574","https://openalex.org/W3097069580","https://openalex.org/W3125823659","https://openalex.org/W4211165038","https://openalex.org/W4385245566","https://openalex.org/W6682137061","https://openalex.org/W6739901393","https://openalex.org/W6742921865","https://openalex.org/W6753441378","https://openalex.org/W6756192691","https://openalex.org/W6758857762","https://openalex.org/W6760976391","https://openalex.org/W6783621661"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W2378994405","https://openalex.org/W4312407344"],"abstract_inverted_index":{"We":[0],"describe":[1],"how":[2],"some":[3],"problems":[4],"(interpretability,":[5],"lack":[6],"of":[7,9,24,28,37],"object-orientedness)":[8],"modern":[10],"deep":[11],"networks":[12],"potentially":[13],"could":[14],"be":[15],"solved":[16],"by":[17],"adapting":[18],"a":[19,30],"biologically":[20],"plausible":[21],"saccadic":[22,31],"mechanism":[23],"perception.":[25],"A":[26],"sketch":[27],"such":[29],"vision":[32],"model":[33],"is":[34],"proposed.":[35],"Proof":[36],"concept":[38],"experimental":[39],"results":[40],"are":[41],"provided":[42],"to":[43],"support":[44],"the":[45],"proposed":[46],"approach.":[47]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}