{"id":"https://openalex.org/W4389161215","doi":"https://doi.org/10.1109/tmm.2023.3338088","title":"CFENet: Boosting Few-Shot Semantic Segmentation With Complementary Feature-Enhanced Network","display_name":"CFENet: Boosting Few-Shot Semantic Segmentation With Complementary Feature-Enhanced Network","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389161215","doi":"https://doi.org/10.1109/tmm.2023.3338088"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3338088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3338088","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5100646191","display_name":"Yun Wang","orcid":"https://orcid.org/0009-0009-8005-4159"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yun Wang","raw_affiliation_strings":["School of Information Engineering, East China Jiaotong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0009-0009-8005-4159","affiliations":[{"raw_affiliation_string":"School of Information Engineering, East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lu Zhu","orcid":"https://orcid.org/0000-0002-9735-3974"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Zhu","raw_affiliation_strings":["School of Information Engineering, East China Jiaotong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-9735-3974","affiliations":[{"raw_affiliation_string":"School of Information Engineering, East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100630005","display_name":"Yuanyuan Liu","orcid":"https://orcid.org/0000-0001-9711-8408"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Liu","raw_affiliation_strings":["School of Information Engineering, East China Jiaotong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0001-9711-8408","affiliations":[{"raw_affiliation_string":"School of Information Engineering, East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100646191"],"corresponding_institution_ids":["https://openalex.org/I13985625"],"apc_list":null,"apc_paid":null,"fwci":1.0213,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81723308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"26","issue":null,"first_page":"5630","last_page":"5640"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991000294685364,"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/computer-science","display_name":"Computer science","score":0.8430959582328796},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8062875270843506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6730227470397949},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6240917444229126},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5462886095046997},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.528151273727417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4967356324195862},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.48072531819343567},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4275187849998474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8430959582328796},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8062875270843506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6730227470397949},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6240917444229126},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5462886095046997},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.528151273727417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4967356324195862},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.48072531819343567},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4275187849998474},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2023.3338088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3338088","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G383322693","display_name":null,"funder_award_id":"61967007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6449642234","display_name":null,"funder_award_id":"62366015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8172926923","display_name":null,"funder_award_id":"20201BBF61012","funder_id":"https://openalex.org/F4320327780","funder_display_name":"Key Research and Development Program of Jiangxi Province"},{"id":"https://openalex.org/G8381043775","display_name":null,"funder_award_id":"61963016","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"},{"id":"https://openalex.org/F4320327780","display_name":"Key Research and Development Program of Jiangxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W122515038","https://openalex.org/W1507506748","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2037227137","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2787091153","https://openalex.org/W2955058313","https://openalex.org/W2962850830","https://openalex.org/W2963078159","https://openalex.org/W2963091558","https://openalex.org/W2963599420","https://openalex.org/W2963881378","https://openalex.org/W2964105864","https://openalex.org/W2981689412","https://openalex.org/W2981787211","https://openalex.org/W2990230185","https://openalex.org/W3033502887","https://openalex.org/W3047258141","https://openalex.org/W3094502228","https://openalex.org/W3108189450","https://openalex.org/W3122412340","https://openalex.org/W3127751679","https://openalex.org/W3138516171","https://openalex.org/W3146079624","https://openalex.org/W3166152027","https://openalex.org/W3167453437","https://openalex.org/W3167559252","https://openalex.org/W3170841864","https://openalex.org/W3172509117","https://openalex.org/W3176065502","https://openalex.org/W3202424564","https://openalex.org/W3204077273","https://openalex.org/W3215041655","https://openalex.org/W4214573368","https://openalex.org/W4214893857","https://openalex.org/W4221153269","https://openalex.org/W4224860128","https://openalex.org/W4283329776","https://openalex.org/W4283452291","https://openalex.org/W4283696141","https://openalex.org/W4312592495","https://openalex.org/W4312750374","https://openalex.org/W4312769131","https://openalex.org/W4312794139","https://openalex.org/W4312950730","https://openalex.org/W4313023122","https://openalex.org/W4313180545","https://openalex.org/W4313196086","https://openalex.org/W4317672152","https://openalex.org/W4378805033","https://openalex.org/W6677180984","https://openalex.org/W6717697761","https://openalex.org/W6783596713","https://openalex.org/W6790275670","https://openalex.org/W6795934563","https://openalex.org/W6797399245","https://openalex.org/W6838934113","https://openalex.org/W6845611785","https://openalex.org/W6846680268"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W2381179799","https://openalex.org/W1549363203","https://openalex.org/W2147697413","https://openalex.org/W2154063878","https://openalex.org/W4231274751"],"abstract_inverted_index":{"Few-shot":[0],"semantic":[1],"segmentation":[2],"aims":[3],"to":[4,12,34,39,84,126],"extract":[5,35],"information":[6,87,107,111,139],"from":[7,159],"few":[8],"annotated":[9],"support":[10,93],"images":[11],"segment":[13],"unknown":[14],"class":[15,49],"objects":[16],"in":[17,43,56,95,130,148,165],"the":[18,40,54,65,96,109,149,154,171,187],"query":[19,90,141,155],"image.":[20],"Traditional":[21],"algorithms":[22],"may":[23],"produce":[24],"errors":[25],"and":[26,45,58,92,140,152,162,179],"insufficient":[27],"feature":[28,123,158],"extraction":[29,81],"using":[30],"multi-layer":[31],"cosine":[32,114],"similarity":[33,55,115],"correlation":[36,79,106,138],"information,":[37],"due":[38],"large":[41],"differences":[42],"appearance":[44],"posture":[46],"between":[47,89],"novel":[48],"objects,":[50],"as":[51,53],"well":[52],"texture":[57],"shape":[59],"among":[60],"different":[61],"categories.":[62],"To":[63],"address":[64],"above":[66],"issue,":[67],"we":[68,76,119],"propose":[69,77,120],"a":[70,78,121,166],"Complementary":[71],"Feature-Enhanced":[72],"Network":[73],"(CFENet).":[74],"Specifically,":[75],"complementary":[80,167],"module":[82,125,144],"(CCEM)":[83],"facilitate":[85],"long-range":[86,128],"interaction":[88],"features":[91,94,132,151],"intermediate":[97],"layer,":[98],"which":[99,133],"contains":[100],"detailed":[101],"information.":[102],"The":[103,143],"generated":[104],"multi-channel":[105],"complements":[108],"prior":[110,137],"obtained":[112],"through":[113],"comparison.":[116],"In":[117],"addition,":[118],"multi-branch":[122],"enhancement":[124],"capture":[127],"dependencies":[129],"aggregated":[131,150],"are":[134],"composed":[135],"of":[136,170,189],"features.":[142],"effectively":[145],"suppresses":[146],"noise":[147],"enhances":[153],"target":[156],"object":[157],"both":[160],"global":[161],"local":[163],"perspectives":[164],"way.":[168],"Experiments":[169],"network":[172],"on":[173],"PASCAL-":[174],"<inline-formula":[175,181],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[176,182],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[177,183],"notation=\"LaTeX\">$5^{i}$</tex-math></inline-formula>":[178],"COCO-":[180],"notation=\"LaTeX\">$20^{i}$</tex-math></inline-formula>":[184],"datasets":[185],"validate":[186],"effectiveness":[188],"our":[190],"proposed":[191],"method.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2025-10-10T00:00:00"}
