{"id":"https://openalex.org/W4406148666","doi":"https://doi.org/10.1145/3704323.3704366","title":"A Few-Shot Image Classification Algorithm Combining Graph Neural Network and Attention Mechanism","display_name":"A Few-Shot Image Classification Algorithm Combining Graph Neural Network and Attention Mechanism","publication_year":2024,"publication_date":"2024-10-25","ids":{"openalex":"https://openalex.org/W4406148666","doi":"https://doi.org/10.1145/3704323.3704366"},"language":"en","primary_location":{"id":"doi:10.1145/3704323.3704366","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3704323.3704366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition","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":null,"display_name":"Jie Zhou","orcid":"https://orcid.org/0009-0001-7778-3141"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["School of Mathematical Sciences, Ocean University of China, Qingdao, Shandong, China"],"raw_orcid":"https://orcid.org/0009-0001-7778-3141","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Ocean University of China, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113289041","display_name":"Jinfeng Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfeng Qian","raw_affiliation_strings":["School of Mathematical Sciences, Ocean University of China, Qingdao, Shandong, China"],"raw_orcid":"https://orcid.org/0009-0003-5328-369X","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Ocean University of China, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021937568","display_name":"Qinghua Guo","orcid":"https://orcid.org/0000-0001-6776-0766"},"institutions":[{"id":"https://openalex.org/I106994412","display_name":"Sinopec (China)","ror":"https://ror.org/0161q6d74","country_code":"CN","type":"company","lineage":["https://openalex.org/I106994412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Guo","raw_affiliation_strings":["Sinopec Geophysical Research Institute Co. Ltd, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-6776-0766","affiliations":[{"raw_affiliation_string":"Sinopec Geophysical Research Institute Co. Ltd, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I106994412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101289826","display_name":"Yong Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhao","raw_affiliation_strings":["School of Mathematical Sciences, Ocean University of China, Qingdao, Shandong, China"],"raw_orcid":"https://orcid.org/0009-0002-0232-2284","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Ocean University of China, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.27536582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"150","last_page":"154"},"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":0.998199999332428,"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":0.998199999332428,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9944000244140625,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7326542139053345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5743224620819092},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5454822182655334},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5230244994163513},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4935959577560425},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.47241130471229553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4683759808540344},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.45397093892097473},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3737697899341583},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3422331213951111}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7326542139053345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5743224620819092},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5454822182655334},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5230244994163513},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4935959577560425},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.47241130471229553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4683759808540344},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.45397093892097473},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3737697899341583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3422331213951111},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"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},{"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:10.1145/3704323.3704366","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3704323.3704366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1458181269","display_name":null,"funder_award_id":"202061046","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2141708418","https://openalex.org/W2525579820","https://openalex.org/W2604763608","https://openalex.org/W2612690371","https://openalex.org/W2752782242","https://openalex.org/W2808498263","https://openalex.org/W2962799101","https://openalex.org/W2963341924","https://openalex.org/W3108049163","https://openalex.org/W4249502209","https://openalex.org/W4281718971","https://openalex.org/W4283821931","https://openalex.org/W4307207329","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6746260573"],"related_works":["https://openalex.org/W1975547468","https://openalex.org/W2804627982","https://openalex.org/W2001679188","https://openalex.org/W4205493345","https://openalex.org/W2016342027","https://openalex.org/W2196068029","https://openalex.org/W2310826128","https://openalex.org/W2974328778","https://openalex.org/W2074219825","https://openalex.org/W2888859519"],"abstract_inverted_index":{"Deep":[0],"learning":[1,33],"has":[2],"achieved":[3],"success":[4],"in":[5,16,164],"various":[6],"applications,":[7,18],"depending":[8],"on":[9,65],"the":[10,45,82,87,99,117,122,139,149,154],"abundance":[11],"of":[12,27,124,144,153],"training":[13,28],"data.":[14],"However,":[15],"practical":[17],"it":[19],"is":[20,52,93,128],"challenging":[21],"to":[22,35,76,120],"gather":[23],"a":[24,72],"substantial":[25],"number":[26],"samples.":[29,133],"We":[30],"employ":[31],"few-shot":[32,56,165],"algorithm":[34,160],"tackle":[36],"this":[37],"issue.":[38],"Graph":[39],"neural":[40,67,101],"network":[41,75,102,119],"can":[42,137],"effectively":[43],"capture":[44],"intra-class":[46],"similarities":[47],"and":[48,107,151],"inter-class":[49],"differences,":[50],"which":[51,79,127],"highly":[53],"beneficial":[54],"for":[55,130],"learning.":[57],"This":[58],"paper":[59],"introduces":[60],"an":[61,113],"enhanced":[62],"architecture":[63],"based":[64],"graph":[66,100],"network.":[68],"Initially,":[69],"we":[70,111],"utilize":[71],"pre-trained":[73],"residual":[74],"extract":[77],"features,":[78,126],"serve":[80],"as":[81,95],"initial":[83],"node":[84,91,105,125],"features.":[85,97,109],"And":[86],"similarity":[88,123],"information":[89,143],"between":[90],"features":[92,106],"defined":[94],"edge":[96,108],"Subsequently,":[98],"iteratively":[103],"updates":[104],"Finally,":[110],"incorporate":[112],"attention":[114,135],"mechanism":[115,136],"into":[116],"metric":[118],"compute":[121],"used":[129],"classifying":[131],"test":[132],"The":[134],"mitigate":[138],"interference":[140],"from":[141],"irrelevant":[142],"neighbouring":[145],"nodes,":[146],"thereby":[147],"improving":[148],"robustness":[150],"performance":[152,163],"algorithm.":[155],"Experiments":[156],"demonstrate":[157],"that":[158],"our":[159],"exhibits":[161],"excellent":[162],"image":[166],"classification.":[167]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
