{"id":"https://openalex.org/W4387829163","doi":"https://doi.org/10.1109/igarss52108.2023.10282204","title":"RIFormer: Learning Rotation-Invariant Features Via Transformer","display_name":"RIFormer: Learning Rotation-Invariant Features Via Transformer","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387829163","doi":"https://doi.org/10.1109/igarss52108.2023.10282204"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","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/A5025021168","display_name":"Chao Song","orcid":"https://orcid.org/0000-0002-7695-7904"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Song","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronics and Information,Xi’an,China,710129"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronics and Information,Xi’an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067207818","display_name":"Shaohui Mei","orcid":"https://orcid.org/0000-0002-8018-596X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Mei","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronics and Information,Xi’an,China,710129"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronics and Information,Xi’an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046390538","display_name":"Mingyang Ma","orcid":"https://orcid.org/0000-0002-2944-628X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Ma","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronics and Information,Xi’an,China,710129"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronics and Information,Xi’an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025021168"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":1.3235,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8472566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5399","last_page":"5402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9975000023841858,"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":0.996999979019165,"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/transformer","display_name":"Transformer","score":0.707628071308136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6793160438537598},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6493254899978638},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6304854154586792},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6234368681907654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5845243334770203},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5137015581130981},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40969792008399963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39173176884651184},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16432857513427734},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14975029230117798},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.10530871152877808},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08538106083869934}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.707628071308136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6793160438537598},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6493254899978638},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6304854154586792},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6234368681907654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5845243334770203},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5137015581130981},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40969792008399963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39173176884651184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16432857513427734},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14975029230117798},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.10530871152877808},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08538106083869934},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W3131500599","https://openalex.org/W4283812731","https://openalex.org/W4296339430","https://openalex.org/W4312443924","https://openalex.org/W4312820606","https://openalex.org/W4313476697","https://openalex.org/W6743757654"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W1974414866","https://openalex.org/W2057568687","https://openalex.org/W2063982682","https://openalex.org/W2338543196","https://openalex.org/W1544691147"],"abstract_inverted_index":{"Recently,":[0],"Transformers":[1,22],"have":[2,12],"been":[3],"widely":[4],"used":[5],"in":[6,33],"many":[7],"computer":[8],"vision":[9],"tasks":[10],"and":[11,68],"shown":[13],"promising":[14],"results.":[15],"However,":[16],"like":[17],"convolutional":[18],"neural":[19],"networks":[20],"(CNNs),":[21],"cannot":[23],"handle":[24],"rotational":[25],"variations":[26],"well,":[27],"thus":[28],"hindering":[29],"its":[30],"further":[31],"application":[32],"the":[34,50,95],"field":[35],"of":[36,66,106],"remote":[37],"sensing.":[38],"In":[39],"this":[40,69],"paper,":[41],"we":[42,54],"design":[43],"a":[44,56],"rotation-invariant":[45,58,91],"Transformer":[46],"(RIFormer)":[47],"to":[48,62,77,94],"alleviate":[49],"abovementioned":[51],"problem.":[52],"Moreover,":[53],"propose":[55],"novel":[57],"position":[59],"embedding":[60],"(RIPE)":[61],"encode":[63],"positional":[64],"information":[65],"features,":[67],"position-dependent":[70],"features":[71,92],"learned":[72],"by":[73],"RIPE":[74,87],"is":[75,110],"robust":[76],"rotations.":[78],"The":[79],"experimental":[80],"results":[81],"show":[82],"that":[83],"proposed":[84],"RIFormer":[85],"with":[86,98],"can":[88],"effectively":[89],"learn":[90],"compared":[93],"state-of-the-art":[96],"methods":[97],"limited":[99],"parameters.":[100],"We":[101],"provide":[102],"an":[103],"open-source":[104],"implementation":[105],"our":[107],"method.":[108],"It":[109],"publicly":[111],"available":[112],"at":[113],"https://github.com/psychAo/RIFormer.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}