{"id":"https://openalex.org/W3161079636","doi":"https://doi.org/10.1109/icassp39728.2021.9414491","title":"Rotation Invariance Analysis of Local Convolutional Features in Image Retrieval","display_name":"Rotation Invariance Analysis of Local Convolutional Features in Image Retrieval","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3161079636","doi":"https://doi.org/10.1109/icassp39728.2021.9414491","mag":"3161079636"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5062348639","display_name":"Longjiao Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Longjiao Zhao","raw_affiliation_strings":["Nagoya University, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701612","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-9173-1209"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Ritsumeikan University, Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080180020","display_name":"Jien Kato","orcid":"https://orcid.org/0000-0002-0196-4405"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jien Kato","raw_affiliation_strings":["Ritsumeikan University, Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062348639"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36106209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"2380","last_page":"2384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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":0.9973999857902527,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9958000183105469,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8548347353935242},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7596980333328247},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.7056509256362915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6969603300094604},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6677799224853516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.628313422203064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5797117948532104},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5054495334625244},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.502781867980957},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4217357933521271},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37714922428131104}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8548347353935242},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7596980333328247},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.7056509256362915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6969603300094604},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6677799224853516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.628313422203064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5797117948532104},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5054495334625244},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.502781867980957},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4217357933521271},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37714922428131104},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":23,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1686810756","https://openalex.org/W1783842908","https://openalex.org/W1920702274","https://openalex.org/W2018786389","https://openalex.org/W2132926984","https://openalex.org/W2141362318","https://openalex.org/W2148809531","https://openalex.org/W2163605009","https://openalex.org/W2174726731","https://openalex.org/W2187098286","https://openalex.org/W2204975001","https://openalex.org/W2461725797","https://openalex.org/W2504981983","https://openalex.org/W2569680626","https://openalex.org/W2806725828","https://openalex.org/W2888527098","https://openalex.org/W2963125676","https://openalex.org/W6618372016","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6685522000","https://openalex.org/W6686778916"],"related_works":["https://openalex.org/W2331674254","https://openalex.org/W2059299633","https://openalex.org/W2760085659","https://openalex.org/W1999222583","https://openalex.org/W2979079341","https://openalex.org/W1602592726","https://openalex.org/W2940977206","https://openalex.org/W2995914718","https://openalex.org/W2546942002","https://openalex.org/W2732542196"],"abstract_inverted_index":{"Recently,":[0],"local":[1,17],"features":[2,19,51,108],"computed":[3],"using":[4],"convolutional":[5,18],"neural":[6],"networks":[7],"(CNNs)":[8],"show":[9],"good":[10,93],"performance":[11],"to":[12,29,34,45,101],"image":[13,53,114],"retrieval.":[14,115],"However,":[15],"the":[16,22,47,102],"obtained":[20],"by":[21],"CNNs":[23],"(LC":[24],"features)":[25],"are":[26],"inherently":[27],"sensitive":[28],"rotation":[30,80,111],"perturbations.":[31],"This":[32],"leads":[33],"miss-judgements":[35],"in":[36,113],"retrieval":[37],"tasks.":[38],"In":[39],"this":[40],"work,":[41],"our":[42],"objective":[43],"is":[44],"enhance":[46],"robustness":[48],"of":[49,64,79,92],"LC":[50,107],"against":[52],"rotation.":[54],"To":[55],"do":[56],"this,":[57],"we":[58],"conduct":[59],"a":[60,90],"thorough":[61],"experimental":[62],"evaluation":[63],"two":[65,77],"candidate":[66],"anti-rotation":[67],"strategies":[68],"(in-model":[69],"data":[70],"augmentation,":[71],"and":[72,84],"post-model":[73],"feature":[74],"augmentation),":[75],"over":[76],"kinds":[78],"attacks":[81],"(dataset":[82],"attack":[83],"query":[85],"attack).":[86],"We":[87],"end":[88],"up":[89],"series":[91],"practices":[94],"with":[95,109],"steady":[96],"quantitative":[97],"supports,":[98],"which":[99],"lead":[100],"best":[103],"strategy":[104],"for":[105],"computing":[106],"high":[110],"invariance":[112]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
