{"id":"https://openalex.org/W4382052961","doi":"https://doi.org/10.1109/icccs57501.2023.10151269","title":"Few-Shot Classification With Cross-Feature Fusion","display_name":"Few-Shot Classification With Cross-Feature Fusion","publication_year":2023,"publication_date":"2023-04-21","ids":{"openalex":"https://openalex.org/W4382052961","doi":"https://doi.org/10.1109/icccs57501.2023.10151269"},"language":"en","primary_location":{"id":"doi:10.1109/icccs57501.2023.10151269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs57501.2023.10151269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Computer and Communication Systems (ICCCS)","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/A5044329368","display_name":"Guohui Yao","orcid":"https://orcid.org/0000-0001-5892-6314"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohui Yao","raw_affiliation_strings":["College of Mathematics and Statistics, Shenzhen University,Shenzhen,PR China","College of Mathematics and Statistics, Shenzhen University, Shenzhen, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Shenzhen University,Shenzhen,PR China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Mathematics and Statistics, Shenzhen University, Shenzhen, PR China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719011","display_name":"Min Li","orcid":"https://orcid.org/0000-0001-8140-934X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["College of Mathematics and Statistics, Shenzhen University,Shenzhen,PR China","College of Mathematics and Statistics, Shenzhen University, Shenzhen, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Shenzhen University,Shenzhen,PR China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Mathematics and Statistics, Shenzhen University, Shenzhen, PR China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113683679","display_name":"Dawei Song","orcid":"https://orcid.org/0000-0001-6529-7392"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Song","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology,Beijing,PR China","School of Computer Science and Technology, Beijing Institute of Technology, Beijing, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology,Beijing,PR China","institution_ids":["https://openalex.org/I125839683","https://openalex.org/I202334528"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, PR China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0589707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"944","last_page":"949"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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/T10340","display_name":"Hepatitis B Virus Studies","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.963100016117096,"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/overfitting","display_name":"Overfitting","score":0.8751944303512573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7763092517852783},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6291589140892029},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6184834241867065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5821131467819214},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5604227781295776},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.514530599117279},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4871220588684082},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4600382447242737},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4398185610771179},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4305417537689209},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.4302656352519989},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4295039176940918},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41473865509033203},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.399308979511261},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3437497615814209},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.22223243117332458},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.1485137939453125},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12069869041442871},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.10033324360847473}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8751944303512573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7763092517852783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6291589140892029},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6184834241867065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5821131467819214},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5604227781295776},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.514530599117279},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4871220588684082},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4600382447242737},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4398185610771179},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4305417537689209},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.4302656352519989},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4295039176940918},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41473865509033203},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.399308979511261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3437497615814209},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.22223243117332458},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.1485137939453125},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12069869041442871},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.10033324360847473},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs57501.2023.10151269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs57501.2023.10151269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3197846792","display_name":"\u6742\u4e71\u73af\u5883\u4e0b\u663e\u8457\u6027\u76ee\u6807\u68c0\u6d4b\u5efa\u6a21\u4e0e\u7b97\u6cd5\u7814\u7a76","funder_award_id":"62072312","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4668497719","display_name":null,"funder_award_id":"2019A1515010894","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2241668610","https://openalex.org/W2516665493","https://openalex.org/W2559655401","https://openalex.org/W2612690371","https://openalex.org/W2909692259","https://openalex.org/W2964105864","https://openalex.org/W2979689312","https://openalex.org/W3012255272","https://openalex.org/W3016419862","https://openalex.org/W3034974675","https://openalex.org/W3151130473","https://openalex.org/W3166058839","https://openalex.org/W3173679434","https://openalex.org/W3176341011","https://openalex.org/W3180725527","https://openalex.org/W3197005357","https://openalex.org/W3205249428","https://openalex.org/W4212774754","https://openalex.org/W4293153520","https://openalex.org/W4312702383","https://openalex.org/W4312935555"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W3128011703","https://openalex.org/W2140296997"],"abstract_inverted_index":{"Most":[0],"existing":[1],"methods":[2],"for":[3],"few-shot":[4],"image":[5,21],"classification":[6],"treat":[7],"the":[8,16,29,33,36,54,66],"support":[9,30,40,59],"features":[10,13,38,41,60],"and":[11,15,39,58,61],"query":[12,20,37,57],"separately,":[14],"category":[17],"of":[18,91],"a":[19,50,88],"is":[22,74],"determined":[23],"based":[24],"on":[25,87],"its":[26],"similarity":[27],"to":[28,65,77,82],"images.":[31],"However,":[32],"relationships":[34,55],"between":[35,56],"are":[42],"often":[43],"ignored.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"propose":[49],"strategy":[51],"that":[52,94],"exploits":[53],"give":[62],"more":[63],"weights":[64],"highly":[67],"related":[68],"features.":[69],"A":[70],"cross-feature":[71],"fusion":[72],"method":[73,96],"further":[75],"proposed":[76],"combine":[78],"with":[79],"metric":[80],"learning":[81],"reduce":[83],"overfitting.":[84],"Extensive":[85],"experiments":[86],"wide":[89],"range":[90],"datasets":[92],"show":[93],"our":[95],"has":[97],"achieved":[98],"advanced":[99],"results.":[100]},"counts_by_year":[],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
