{"id":"https://openalex.org/W2890588772","doi":"https://doi.org/10.1186/s13638-018-1197-z","title":"Tree-CNN: from generalization to specialization","display_name":"Tree-CNN: from generalization to specialization","publication_year":2018,"publication_date":"2018-09-04","ids":{"openalex":"https://openalex.org/W2890588772","doi":"https://doi.org/10.1186/s13638-018-1197-z","mag":"2890588772"},"language":"en","primary_location":{"id":"doi:10.1186/s13638-018-1197-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-018-1197-z","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-018-1197-z","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-018-1197-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061737646","display_name":"Shenwang Jiang","orcid":"https://orcid.org/0000-0002-0914-4954"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenwang Jiang","raw_affiliation_strings":["Key Laboratory of Photoelectronic Imaging Technology and System, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China","School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Photoelectronic Imaging Technology and System, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113849748","display_name":"Tingfa Xu","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tingfa Xu","raw_affiliation_strings":["Key Laboratory of Photoelectronic Imaging Technology and System, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China","School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Photoelectronic Imaging Technology and System, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709302","display_name":"Jie Guo","orcid":"https://orcid.org/0000-0001-7164-8857"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Guo","raw_affiliation_strings":["Key Laboratory of Photoelectronic Imaging Technology and System, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China","School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Photoelectronic Imaging Technology and System, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043432751","display_name":"Jizhou Zhang","orcid":"https://orcid.org/0000-0002-1015-0534"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jizhou Zhang","raw_affiliation_strings":["Key Laboratory of Photoelectronic Imaging Technology and System, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China","School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Photoelectronic Imaging Technology and System, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113849748"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.5202,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.70902357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2018","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8260809183120728},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7630671262741089},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6704477071762085},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6662107706069946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6351287364959717},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6158949732780457},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6141090393066406},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5775623917579651},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.519080638885498},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4848097860813141},{"id":"https://openalex.org/keywords/trunk","display_name":"Trunk","score":0.46928107738494873},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2100379765033722},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.124762624502182}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8260809183120728},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7630671262741089},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6704477071762085},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6662107706069946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6351287364959717},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6158949732780457},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6141090393066406},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5775623917579651},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.519080638885498},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4848097860813141},{"id":"https://openalex.org/C2781197403","wikidata":"https://www.wikidata.org/wiki/Q193472","display_name":"Trunk","level":2,"score":0.46928107738494873},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2100379765033722},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.124762624502182},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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":2,"locations":[{"id":"doi:10.1186/s13638-018-1197-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-018-1197-z","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-018-1197-z","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:99be6b2f7b8742b7afc944638be57465","is_oa":true,"landing_page_url":"https://doaj.org/article/99be6b2f7b8742b7afc944638be57465","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-12 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13638-018-1197-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-018-1197-z","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-018-1197-z","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2828580652","display_name":null,"funder_award_id":"61527802","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2890588772.pdf","grobid_xml":"https://content.openalex.org/works/W2890588772.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W589973208","https://openalex.org/W1483870316","https://openalex.org/W1576445103","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1982068528","https://openalex.org/W2064364810","https://openalex.org/W2095897464","https://openalex.org/W2097117768","https://openalex.org/W2098676252","https://openalex.org/W2115733720","https://openalex.org/W2127218421","https://openalex.org/W2129789791","https://openalex.org/W2151103935","https://openalex.org/W2155893237","https://openalex.org/W2156919418","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2179234838","https://openalex.org/W2183182206","https://openalex.org/W2194775991","https://openalex.org/W2220384803","https://openalex.org/W2342956157","https://openalex.org/W2538244214","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2613718673","https://openalex.org/W2731793484","https://openalex.org/W4231029117","https://openalex.org/W6603944243","https://openalex.org/W6819060087"],"related_works":["https://openalex.org/W2952813363","https://openalex.org/W2911497689","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W2770149305","https://openalex.org/W2972076240","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W2964843961","https://openalex.org/W3010730661"],"abstract_inverted_index":{"Traditional":[0],"convolutional":[1],"neural":[2],"networks":[3],"(CNNs)":[4],"classify":[5],"all":[6,14,83],"categories":[7,67,84,93],"by":[8,37],"a":[9,38,46,53,69,77],"single":[10,39],"network,":[11],"which":[12,102],"passes":[13],"kinds":[15],"of":[16,52,76,82,91,108,162],"samples":[17],"through":[18],"totally":[19],"the":[20,57,100,104,135,160,163],"same":[21],"network":[22],"flow.":[23],"In":[24],"fact,":[25],"it":[26,112],"is":[27,74],"quite":[28],"challengeable":[29],"to":[30,63,87,124,133],"distinguish":[31],"schooner":[32],"with":[33],"ketch":[34],"and":[35,56,85,110,121,138,148,152],"chair":[36],"network.":[40],"To":[41,126],"address":[42,127],"it,":[43,128],"we":[44,129],"propose":[45],"new":[47],"image":[48,109,155],"classification":[49,81],"architecture":[50],"composed":[51],"cluster":[54,60],"algorithm":[55,61,132],"Tree-CNN.":[58,165],"The":[59,72],"devotes":[62],"classifying":[64],"similar":[65,92],"fine":[66,114],"into":[68,113],"coarse":[70,80],"category.":[71],"Tree-CNN":[73],"comprised":[75],"Trunk-CNN":[78],"for":[79,154],"Branch-CNNs":[86,95,117],"treat":[88],"different":[89],"groups":[90],"differently.":[94],"are":[96,122],"fine-tuning":[97],"based":[98,144],"on":[99,145],"Trunk-CNN,":[101],"extracts":[103],"special":[105],"feature":[106],"map":[107],"divides":[111],"categories.":[115],"But":[116],"bring":[118],"extra":[119],"computation":[120,137],"hard":[123],"train.":[125],"introduce":[130],"adaptive":[131],"balance":[134],"heavy":[136],"accuracy.":[139],"We":[140],"have":[141],"tested":[142],"Tree-CNNs":[143],"CaffeNet,":[146],"VGG16,":[147],"GoogLeNet":[149],"in":[150],"Caltech101":[151],"Caltech256":[153],"classification.":[156],"Experiment":[157],"results":[158],"show":[159],"superiority":[161],"proposed":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
