{"id":"https://openalex.org/W4408610916","doi":"https://doi.org/10.1109/icaiic64266.2025.10920749","title":"Evaluating Backbone Modifications on Capsule Networks for Low-Resolution Image Classification","display_name":"Evaluating Backbone Modifications on Capsule Networks for Low-Resolution Image Classification","publication_year":2025,"publication_date":"2025-02-18","ids":{"openalex":"https://openalex.org/W4408610916","doi":"https://doi.org/10.1109/icaiic64266.2025.10920749"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic64266.2025.10920749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic64266.2025.10920749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5033251460","display_name":"Hasindu Dewasurendra","orcid":null},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hasindu Dewasurendra","raw_affiliation_strings":["Chungbuk National University,Department of Information and Communication Engineering,Chungju,South Korea,28644"],"affiliations":[{"raw_affiliation_string":"Chungbuk National University,Department of Information and Communication Engineering,Chungju,South Korea,28644","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102747977","display_name":"Taejoon Kim","orcid":"https://orcid.org/0000-0001-6326-2559"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taejoon Kim","raw_affiliation_strings":["Chungbuk National University,Department of Information and Communication Engineering,Chungju,South Korea,28644"],"affiliations":[{"raw_affiliation_string":"Chungbuk National University,Department of Information and Communication Engineering,Chungju,South Korea,28644","institution_ids":["https://openalex.org/I163753206"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033251460"],"corresponding_institution_ids":["https://openalex.org/I163753206"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0798591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1027","last_page":"1030"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.3321000039577484,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.3321000039577484,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.30720001459121704,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.30469998717308044,"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/resolution","display_name":"Resolution (logic)","score":0.6399518251419067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.62480628490448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5721952319145203},{"id":"https://openalex.org/keywords/capsule","display_name":"Capsule","score":0.5102381706237793},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48511016368865967},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45601609349250793},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4484637677669525},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4363032579421997},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42138928174972534},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1193627119064331}],"concepts":[{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6399518251419067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62480628490448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5721952319145203},{"id":"https://openalex.org/C2778778583","wikidata":"https://www.wikidata.org/wiki/Q147768","display_name":"Capsule","level":2,"score":0.5102381706237793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48511016368865967},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45601609349250793},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4484637677669525},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4363032579421997},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42138928174972534},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1193627119064331},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic64266.2025.10920749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic64266.2025.10920749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2963446712","https://openalex.org/W2982147654","https://openalex.org/W3094502228","https://openalex.org/W3148230007","https://openalex.org/W3186928351","https://openalex.org/W3191609922","https://openalex.org/W3217175436","https://openalex.org/W4386780122","https://openalex.org/W4402915242","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6743446608","https://openalex.org/W6751339499","https://openalex.org/W6762718338","https://openalex.org/W6767084090","https://openalex.org/W6772452466","https://openalex.org/W6811014117","https://openalex.org/W6862816224"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2765548132","https://openalex.org/W2025681766","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2294441925","https://openalex.org/W2142226356","https://openalex.org/W2056165575","https://openalex.org/W3210000161"],"abstract_inverted_index":{"Practically":[0],"constrained":[1],"applications":[2],"like":[3],"intelligent":[4],"traffic":[5],"perception":[6],"and":[7,45,72,112],"medical":[8],"imaging":[9],"often":[10],"produce":[11],"very":[12],"low-resolution":[13],"(VLR)":[14],"images,":[15],"making":[16],"the":[17,39,89,92,100,118,126,141,147,150],"classification":[18,29,64],"of":[19,42,47,91,106,149],"such":[20],"images":[21,36],"a":[22,104],"crucial,":[23],"yet":[24],"challenging":[25],"task.":[26],"State-of-the-art":[27],"(SOTA)":[28],"networks":[30,54,57],"tend":[31],"to":[32,38,51,79,99,140,155],"struggle":[33],"with":[34],"VLR":[35,80,131],"due":[37],"limited":[40],"region":[41],"interest":[43],"(ROI)":[44],"lack":[46],"distinguishable":[48],"features.":[49],"Compared":[50],"convolutional":[52],"neural":[53],"(CNN),":[55],"capsule":[56],"(CapsNets)":[58],"that":[59,137],"use":[60],"pose":[61],"information":[62],"for":[63,117],"have":[65],"proved":[66],"more":[67],"robust":[68],"against":[69],"affine":[70],"transformations":[71],"adversarial":[73],"attacks,":[74],"showing":[75],"promise":[76],"in":[77],"generalizing":[78],"image":[81],"classification.":[82],"Existing":[83],"research":[84],"on":[85,130],"CapsNets":[86],"has":[87],"favored":[88],"development":[90],"routing":[93,128],"algorithm":[94,129],"while":[95,157],"overlooking":[96],"any":[97],"modifications":[98],"backbone.":[101,120],"We":[102,121],"explore":[103],"range":[105],"architectures":[107],"including":[108],"CNNs,":[109],"transformers,":[110],"mixers,":[111],"hybrids":[113],"as":[114],"potential":[115],"replacements":[116],"conventional":[119],"evaluate":[122],"these":[123],"configurations":[124],"using":[125,158],"dynamic":[127],"CIFAR-10":[132],"data.":[133],"Our":[134],"findings":[135],"reveal":[136],"simple":[138],"changes":[139],"backbone":[142],"yield":[143],"significant":[144],"improvements:":[145],"enhancing":[146],"performance":[148],"baseline":[151],"CapsNet":[152],"by":[153],"up":[154],"4.48%":[156],"32%":[159],"fewer":[160],"parameters.":[161]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
