{"id":"https://openalex.org/W4402401327","doi":"https://doi.org/10.1109/tnnls.2024.3438771","title":"Layer-Wise Mutual Information Meta-Learning Network for Few-Shot Segmentation","display_name":"Layer-Wise Mutual Information Meta-Learning Network for Few-Shot Segmentation","publication_year":2024,"publication_date":"2024-09-10","ids":{"openalex":"https://openalex.org/W4402401327","doi":"https://doi.org/10.1109/tnnls.2024.3438771","pmid":"https://pubmed.ncbi.nlm.nih.gov/39255186"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3438771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3438771","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5014932626","display_name":"Xiaoliu Luo","orcid":"https://orcid.org/0000-0002-2365-4950"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoliu Luo","raw_affiliation_strings":["College of Science, Chongqing University of Technology, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-2365-4950","affiliations":[{"raw_affiliation_string":"College of Science, Chongqing University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015214891","display_name":"Zhao Duan","orcid":"https://orcid.org/0000-0001-6783-7727"},"institutions":[{"id":"https://openalex.org/I145581781","display_name":"Chongqing Technology and Business University","ror":"https://ror.org/05hqf1284","country_code":"CN","type":"education","lineage":["https://openalex.org/I145581781"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Duan","raw_affiliation_strings":["College of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-6783-7727","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, China","institution_ids":["https://openalex.org/I145581781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059839991","display_name":"Anyong Qin","orcid":"https://orcid.org/0000-0002-2538-822X"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anyong Qin","raw_affiliation_strings":["School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-2538-822X","affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038086218","display_name":"Zhuotao Tian","orcid":"https://orcid.org/0000-0003-2698-6923"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuotao Tian","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2698-6923","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101773688","display_name":"Ting Xie","orcid":"https://orcid.org/0000-0002-0243-3112"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Xie","raw_affiliation_strings":["College of Science, Chongqing University of Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Chongqing University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101664915","display_name":"Taiping Zhang","orcid":"https://orcid.org/0000-0001-9891-4203"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taiping Zhang","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-9891-4203","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085140523","display_name":"Yuan Yan Tang","orcid":"https://orcid.org/0000-0002-6887-130X"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yuan Yan Tang","raw_affiliation_strings":["Faculty of Science and Technology, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-6887-130X","affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7101,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90529858,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"36","issue":"5","first_page":"9684","last_page":"9698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.972000002861023,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.972000002861023,"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"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9426000118255615,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9124000072479248,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6756348609924316},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5860118865966797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5538184642791748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5212076902389526},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5072612166404724},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.46245622634887695},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06343218684196472}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6756348609924316},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5860118865966797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5538184642791748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5212076902389526},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5072612166404724},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.46245622634887695},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06343218684196472},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3438771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3438771","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:39255186","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39255186","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5656631925","display_name":null,"funder_award_id":"62076043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G613113693","display_name":null,"funder_award_id":"2023ZDZ032","funder_id":"https://openalex.org/F4320322955","funder_display_name":"Chongqing University of Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322955","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W1507506748","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1988423806","https://openalex.org/W2031489346","https://openalex.org/W2194775991","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2434205482","https://openalex.org/W2560023338","https://openalex.org/W2581017733","https://openalex.org/W2601564443","https://openalex.org/W2787091153","https://openalex.org/W2798991696","https://openalex.org/W2895340641","https://openalex.org/W2955058313","https://openalex.org/W2963078159","https://openalex.org/W2963087285","https://openalex.org/W2963091558","https://openalex.org/W2963599420","https://openalex.org/W2965729941","https://openalex.org/W2981787211","https://openalex.org/W2983850069","https://openalex.org/W2990230185","https://openalex.org/W2990500698","https://openalex.org/W2997247224","https://openalex.org/W3033502887","https://openalex.org/W3047258141","https://openalex.org/W3092612036","https://openalex.org/W3106906018","https://openalex.org/W3108187451","https://openalex.org/W3108189450","https://openalex.org/W3108655343","https://openalex.org/W3138516171","https://openalex.org/W3140935014","https://openalex.org/W3166152027","https://openalex.org/W3167559252","https://openalex.org/W3169024950","https://openalex.org/W3173532622","https://openalex.org/W3173759468","https://openalex.org/W3176065502","https://openalex.org/W3203317685","https://openalex.org/W3203637842","https://openalex.org/W3204077273","https://openalex.org/W3214910576","https://openalex.org/W3215041655","https://openalex.org/W4200632612","https://openalex.org/W4214573368","https://openalex.org/W4214660208","https://openalex.org/W4214951593","https://openalex.org/W4220971618","https://openalex.org/W4221153269","https://openalex.org/W4224860128","https://openalex.org/W4226351460","https://openalex.org/W4287891158","https://openalex.org/W4294770622","https://openalex.org/W4312443348","https://openalex.org/W4312592495","https://openalex.org/W4312635568","https://openalex.org/W4312653100","https://openalex.org/W4312777193","https://openalex.org/W4312794139","https://openalex.org/W4313180545","https://openalex.org/W4313196086","https://openalex.org/W4313407000","https://openalex.org/W4319300548","https://openalex.org/W4385245566","https://openalex.org/W4386066138","https://openalex.org/W4386066813","https://openalex.org/W4386075526","https://openalex.org/W4386075956","https://openalex.org/W4386076165","https://openalex.org/W4386076341","https://openalex.org/W4386902882","https://openalex.org/W4388240245","https://openalex.org/W6637373629","https://openalex.org/W6696085341","https://openalex.org/W6717697761","https://openalex.org/W6734376636","https://openalex.org/W6739696289","https://openalex.org/W6754278344","https://openalex.org/W6756657096","https://openalex.org/W6759678804","https://openalex.org/W6771326545","https://openalex.org/W6787342652","https://openalex.org/W6789041250","https://openalex.org/W6850078109"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W2466816617"],"abstract_inverted_index":{"The":[0,24,106],"goal":[1],"of":[2,21,57,79,161],"few-shot":[3],"segmentation":[4],"(FSS)":[5],"is":[6,27],"to":[7,12,28,36,119,168],"segment":[8],"unlabeled":[9],"images":[10,35],"belonging":[11],"previously":[13],"unseen":[14],"classes":[15],"using":[16],"only":[17,136],"a":[18,44,80,102],"limited":[19],"number":[20],"labeled":[22],"images.":[23,38],"main":[25],"objective":[26],"transfer":[29],"label":[30,58],"information":[31,51,59,64],"effectively":[32],"from":[33,98],"support":[34,67,140],"query":[37,69,142],"In":[39],"this":[40],"study,":[41],"we":[42],"introduce":[43],"novel":[45],"meta-learning":[46,115],"framework":[47,116],"called":[48],"layer-wise":[49],"mutual":[50,63],"(LayerMI),":[52],"which":[53],"enhances":[54,158],"the":[55,62,77,93,114,128,132,150,159],"propagation":[56],"by":[60],"maximizing":[61],"(MI)":[65],"between":[66,139],"and":[68,117,141,163,181],"features":[70,143],"at":[71],"each":[72,99],"layer.":[73],"Our":[74],"approach":[75],"involves":[76],"utilization":[78],"LayerMI":[81,107,133,156],"Block":[82,108,134],"based":[83],"on":[84,92,171],"information-theoretic":[85],"co-clustering.":[86],"This":[87],"block":[88],"performs":[89],"online":[90],"co-clustering":[91],"joint":[94],"probability":[95],"distribution":[96],"obtained":[97],"layer,":[100],"generating":[101],"target-specific":[103],"attention":[104],"map.":[105],"can":[109],"be":[110],"seamlessly":[111],"integrated":[112],"into":[113],"applied":[118],"all":[120],"convolutional":[121],"neural":[122],"network":[123],"(CNN)":[124],"layers":[125],"without":[126],"altering":[127],"training":[129],"objectives.":[130],"Notably,":[131],"not":[135],"maximizes":[137],"MI":[138],"but":[144],"also":[145],"facilitates":[146],"internal":[147],"clustering":[148],"within":[149],"image.":[151],"Extensive":[152],"experiments":[153],"demonstrate":[154],"that":[155],"significantly":[157],"performance":[160,166],"baseline":[162],"achieves":[164],"competitive":[165],"compared":[167],"state-of-the-art":[169],"methods":[170],"three":[172],"challenging":[173],"benchmarks:":[174],"PASCAL-":[175],"$5^{i}$":[176],",":[177,180],"COCO-":[178],"$20^{i}$":[179],"FSS-1000.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
