{"id":"https://openalex.org/W4386619473","doi":"https://doi.org/10.3390/sym15091727","title":"Research on Spider Recognition Technology Based on Transfer Learning and Attention Mechanism","display_name":"Research on Spider Recognition Technology Based on Transfer Learning and Attention Mechanism","publication_year":2023,"publication_date":"2023-09-08","ids":{"openalex":"https://openalex.org/W4386619473","doi":"https://doi.org/10.3390/sym15091727"},"language":"en","primary_location":{"id":"doi:10.3390/sym15091727","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15091727","pdf_url":"https://www.mdpi.com/2073-8994/15/9/1727/pdf?version=1694404420","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/15/9/1727/pdf?version=1694404420","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059466198","display_name":"Jianming Wang","orcid":"https://orcid.org/0009-0004-7729-7284"},"institutions":[{"id":"https://openalex.org/I6593398","display_name":"Dali University","ror":"https://ror.org/02y7rck89","country_code":"CN","type":"education","lineage":["https://openalex.org/I6593398"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianming Wang","raw_affiliation_strings":["School of Mathematics and Computer Science, Dali University, Dali 671003, China","Yunnan Provincial Key Laboratory of Entomological Biopharmaceutical R&D, Dali University, Dali 671000, China"],"raw_orcid":"https://orcid.org/0009-0004-7729-7284","affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Dali University, Dali 671003, China","institution_ids":["https://openalex.org/I6593398"]},{"raw_affiliation_string":"Yunnan Provincial Key Laboratory of Entomological Biopharmaceutical R&D, Dali University, Dali 671000, China","institution_ids":["https://openalex.org/I6593398"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058803106","display_name":"Qiyu Chen","orcid":"https://orcid.org/0000-0003-3052-9223"},"institutions":[{"id":"https://openalex.org/I6593398","display_name":"Dali University","ror":"https://ror.org/02y7rck89","country_code":"CN","type":"education","lineage":["https://openalex.org/I6593398"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiyu Chen","raw_affiliation_strings":["School of Mathematics and Computer Science, Dali University, Dali 671003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Dali University, Dali 671003, China","institution_ids":["https://openalex.org/I6593398"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080733232","display_name":"Chenyang Shi","orcid":"https://orcid.org/0000-0002-2167-822X"},"institutions":[{"id":"https://openalex.org/I6593398","display_name":"Dali University","ror":"https://ror.org/02y7rck89","country_code":"CN","type":"education","lineage":["https://openalex.org/I6593398"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Shi","raw_affiliation_strings":["School of Mathematics and Computer Science, Dali University, Dali 671003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Dali University, Dali 671003, China","institution_ids":["https://openalex.org/I6593398"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059466198"],"corresponding_institution_ids":["https://openalex.org/I6593398"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.1695,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82299785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"15","issue":"9","first_page":"1727","last_page":"1727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12447","display_name":"Spider Taxonomy and Behavior Studies","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12447","display_name":"Spider Taxonomy and Behavior Studies","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.9635999798774719,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.9375,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.735846757888794},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.732245683670044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6985945701599121},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6838257908821106},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6444528102874756},{"id":"https://openalex.org/keywords/spider","display_name":"Spider","score":0.5632951259613037},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5452050566673279},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.41152676939964294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38101375102996826},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33532023429870605}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.735846757888794},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.732245683670044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6985945701599121},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6838257908821106},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6444528102874756},{"id":"https://openalex.org/C2780181586","wikidata":"https://www.wikidata.org/wiki/Q3966705","display_name":"Spider","level":2,"score":0.5632951259613037},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5452050566673279},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.41152676939964294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38101375102996826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33532023429870605},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C90856448","wikidata":"https://www.wikidata.org/wiki/Q431","display_name":"Zoology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym15091727","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15091727","pdf_url":"https://www.mdpi.com/2073-8994/15/9/1727/pdf?version=1694404420","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8acdf8ff216a4281a52e118cc1a374e6","is_oa":false,"landing_page_url":"https://doaj.org/article/8acdf8ff216a4281a52e118cc1a374e6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 15, Iss 9, p 1727 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/15/9/1727/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym15091727","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym15091727","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15091727","pdf_url":"https://www.mdpi.com/2073-8994/15/9/1727/pdf?version=1694404420","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G434615665","display_name":null,"funder_award_id":"32001313","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386619473.pdf"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1902237438","https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2752788177","https://openalex.org/W2884585870","https://openalex.org/W2963420686","https://openalex.org/W3034552520","https://openalex.org/W3034681889","https://openalex.org/W3137525302","https://openalex.org/W3213755781","https://openalex.org/W4213348184","https://openalex.org/W6631190155","https://openalex.org/W6739901393","https://openalex.org/W6786366959"],"related_works":["https://openalex.org/W3116347567","https://openalex.org/W2965546495","https://openalex.org/W2054489131","https://openalex.org/W3113604371","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W2989850994","https://openalex.org/W3103844505","https://openalex.org/W1823320495","https://openalex.org/W259157601"],"abstract_inverted_index":{"Methods":[0],"such":[1,71],"as":[2,72],"transfer":[3,20,195],"learning":[4,196],"and":[5,31,58,63,109,135,138,157,167,182],"attention":[6,140,160],"mechanisms":[7],"play":[8],"an":[9],"important":[10],"role":[11],"in":[12,106,118,147],"small-sample":[13,127,186,223],"image":[14,129,224],"classification":[15],"tasks.":[16],"However,":[17],"the":[18,28,34,38,43,50,96,100,115,142,148,158,165,168,174,177,203,220],"conventional":[19],"method":[21],"retains":[22],"too":[23],"much":[24],"prior":[25],"knowledge":[26],"of":[27,37,114,176,206,209,222],"source":[29],"domain":[30,40],"cannot":[32],"learn":[33],"feature":[35,61],"information":[36,70,137],"target":[39],"well.":[41],"At":[42],"same":[44],"time,":[45],"it":[46,64],"is":[47,65],"difficult":[48],"for":[49,103,126],"neural":[51],"network":[52],"model":[53,97,125,132],"to":[54,86,94,141,164,173,214,219],"find":[55],"discriminative":[56],"features":[57,102],"locate":[59],"key":[60,101],"regions,":[62],"easily":[66],"interfered":[67],"with":[68,199],"by":[69,212],"complex":[73],"backgrounds.":[74],"Spiders":[75],"usually":[76],"appear":[77],"symmetrical,":[78],"but":[79],"they":[80],"are":[81],"not":[82],"perfectly":[83],"symmetrical.":[84],"How":[85],"accurately":[87],"classify":[88],"spider":[89,128,187,210],"images":[90],"depends":[91],"on":[92,99,184],"how":[93],"make":[95],"focus":[98],"recognizing":[104],"spiders":[105],"these":[107],"symmetrical":[108],"asymmetrical":[110],"regions.":[111],"In":[112],"view":[113],"above":[116],"problems,":[117],"this":[119],"paper,":[120],"we":[121],"propose":[122],"ECSM-ResNet-50,":[123],"a":[124,185,192],"classification.":[130],"The":[131,151],"fuses":[133],"channel":[134],"spatial":[136,159],"pays":[139],"correlation":[143],"between":[144],"different":[145],"locations":[146],"input":[149],"data.":[150],"Efficient":[152],"Channel":[153],"Attention":[154],"(ECA)":[155],"mechanism":[156,161,170],"were":[162],"added":[163,172],"model,":[166],"self-attention":[169],"was":[171,180],"end":[175],"model.":[178],"ECSM-ResNet-50":[179,201],"constructed":[181],"trained":[183],"data":[188],"set":[189],"(SPIDER9-IMAGE)":[190],"using":[191],"layer-by-layer":[193],"fine-tuning":[194],"strategy.":[197],"Compared":[198],"ResNet-50,":[200],"improved":[202],"average":[204],"accuracy":[205],"nine":[207],"species":[208],"recognition":[211],"1.57%":[213],"90.25%.":[215],"This":[216],"study":[217],"contributes":[218],"field":[221],"recognition.":[225]},"counts_by_year":[{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
