{"id":"https://openalex.org/W4402352667","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651391","title":"Few-Shot Camouflaged Object Segmentation","display_name":"Few-Shot Camouflaged Object Segmentation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352667","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651391"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5017576191","display_name":"Ziqiu Wang","orcid":"https://orcid.org/0009-0002-5992-258X"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziqiu Wang","raw_affiliation_strings":["Hubei University,Key Laboratory of Intelligent Sensing System and Security (Ministry of Education), School of Artificial Intelligence,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei University,Key Laboratory of Intelligent Sensing System and Security (Ministry of Education), School of Artificial Intelligence,Wuhan,China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358329","display_name":"Yuying Li","orcid":"https://orcid.org/0000-0002-3370-6179"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuying Li","raw_affiliation_strings":["Hubei University,Key Laboratory of Intelligent Sensing System and Security (Ministry of Education), School of Artificial Intelligence,Wuhan,China","Hubei University,School of Computer Science and Information Engineering,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei University,Key Laboratory of Intelligent Sensing System and Security (Ministry of Education), School of Artificial Intelligence,Wuhan,China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"Hubei University,School of Computer Science and Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397670","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-7891-2670"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Hubei University,Key Laboratory of Intelligent Sensing System and Security (Ministry of Education), School of Artificial Intelligence,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei University,Key Laboratory of Intelligent Sensing System and Security (Ministry of Education), School of Artificial Intelligence,Wuhan,China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115594714","display_name":"Yamin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yamin Li","raw_affiliation_strings":["Hubei University,Key Laboratory of Intelligent Sensing System and Security (Ministry of Education), School of Artificial Intelligence,Wuhan,China","Hubei University,School of Computer Science and Information Engineering,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei University,Key Laboratory of Intelligent Sensing System and Security (Ministry of Education), School of Artificial Intelligence,Wuhan,China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"Hubei University,School of Computer Science and Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104666790","display_name":"Gaoyang Liu","orcid":"https://orcid.org/0000-0003-2566-9360"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaoyang Liu","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017576191"],"corresponding_institution_ids":["https://openalex.org/I75900474"],"apc_list":null,"apc_paid":null,"fwci":0.4652,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63375168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9983000159263611,"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/shot","display_name":"Shot (pellet)","score":0.711258590221405},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.629539966583252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6207980513572693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5932489633560181},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5271562933921814},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5257036685943604},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48258674144744873},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0824275016784668}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.711258590221405},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.629539966583252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6207980513572693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5932489633560181},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5271562933921814},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5257036685943604},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48258674144744873},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0824275016784668},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1772076007","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2014788144","https://openalex.org/W2150587757","https://openalex.org/W2194775991","https://openalex.org/W2519882289","https://openalex.org/W2560023338","https://openalex.org/W2787091153","https://openalex.org/W2808725022","https://openalex.org/W2904008038","https://openalex.org/W2909383239","https://openalex.org/W2923486253","https://openalex.org/W2938719104","https://openalex.org/W2954985942","https://openalex.org/W2963078159","https://openalex.org/W2963150697","https://openalex.org/W2963341924","https://openalex.org/W2963599420","https://openalex.org/W2963868681","https://openalex.org/W2964105864","https://openalex.org/W2983850069","https://openalex.org/W3025800305","https://openalex.org/W3027763298","https://openalex.org/W3033502887","https://openalex.org/W3034684132","https://openalex.org/W3047258141","https://openalex.org/W3104156061","https://openalex.org/W3163197207","https://openalex.org/W3168112135","https://openalex.org/W3173782971","https://openalex.org/W3199914841","https://openalex.org/W3202285299","https://openalex.org/W3211937532","https://openalex.org/W3214999242","https://openalex.org/W4205688290","https://openalex.org/W4205971281","https://openalex.org/W4214573368","https://openalex.org/W4221153269","https://openalex.org/W4226354398","https://openalex.org/W4283329776","https://openalex.org/W4285601297","https://openalex.org/W4287671529","https://openalex.org/W4297775537","https://openalex.org/W4308456711","https://openalex.org/W4312369117","https://openalex.org/W4312880622","https://openalex.org/W4372283850","https://openalex.org/W4375843073","https://openalex.org/W4379196609","https://openalex.org/W4382465636","https://openalex.org/W4385484541","https://openalex.org/W4385809408","https://openalex.org/W4390874575","https://openalex.org/W6717697761","https://openalex.org/W6736057607","https://openalex.org/W6743661861"],"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/W1522196789"],"abstract_inverted_index":{"In":[0,83],"the":[1,48,65,91,111,116,136,146,155,171,174,184,204],"domain":[2],"of":[3,50,68,119,157,199,217],"computer":[4],"vision,":[5],"Camouflaged":[6],"Object":[7],"Segmentation":[8],"(COS)":[9],"is":[10,57,181],"a":[11,235],"crucial":[12],"task":[13],"aimed":[14],"at":[15,247],"identifying":[16],"objects":[17,121],"that":[18],"blend":[19],"into":[20,102,122],"their":[21,62],"surroundings,":[22],"with":[23,189],"applications":[24],"spanning":[25],"diverse":[26],"sectors":[27],"such":[28,55],"as":[29],"military,":[30],"medical,":[31],"and":[32,64,135,144,150,187,223,242],"beyond.":[33],"Traditional":[34],"COS":[35,159,178,210],"techniques,":[36],"which":[37,114,161],"primarily":[38,163],"depend":[39],"on":[40,140,183,203],"supervised":[41,166],"learning,":[42,167],"necessitate":[43],"large-scale":[44],"labeled":[45],"datasets.":[46],"However,":[47],"acquisition":[49],"sufficient":[51],"camouflage":[52,193],"images":[53],"for":[54,165],"purposes":[56],"often":[58],"constrained":[59],"due":[60],"to":[61,77,79,85,126,132,208],"scarcity":[63],"high":[66],"cost":[67],"manual":[69],"annotation.":[70],"Additionally,":[71],"these":[72,86],"conventional":[73],"methods":[74],"frequently":[75],"struggle":[76],"generalize":[78],"novel,":[80],"unseen":[81],"classes.":[82],"response":[84],"challenges,":[87],"this":[88],"paper":[89],"proposes":[90],"Camouflage":[92],"Few-Shot":[93],"(CAMFS)":[94],"framework,":[95],"an":[96,214],"innovative":[97],"approach":[98],"integrating":[99],"few-shot":[100,177,230],"learning":[101],"COS.":[103],"The":[104,240],"CAMFS":[105,201,212],"framework":[106,202],"comprises":[107],"two":[108],"main":[109],"components:":[110],"Camouflaged-Meta":[112],"module,":[113,138],"converts":[115],"semantic":[117],"information":[118],"camouflaged":[120],"compact":[123],"feature":[124],"vectors":[125],"facilitate":[127],"knowledge":[128],"transfer":[129],"from":[130],"support":[131],"query":[133],"images;":[134],"Camouflaged-Base":[137],"focused":[139],"refining":[141],"edge":[142],"detection":[143],"enhancing":[145],"contrast":[147],"between":[148],"foreground":[149],"background":[151],"elements.":[152],"To":[153],"overcome":[154],"limitations":[156],"existing":[158,209],"datasets,":[160],"are":[162,245],"designed":[164],"we":[168],"have":[169],"developed":[170],"COS-FSS":[172,205],"dataset,":[173],"first":[175],"public":[176],"dataset.":[179,206],"It":[180],"based":[182],"COD10K":[185],"dataset":[186,241],"supplemented":[188],"approximately":[190],"3200":[191],"additional":[192,243],"images.":[194],"We":[195],"conducted":[196],"extensive":[197],"evaluations":[198],"our":[200],"Compared":[207],"models,":[211,232],"demonstrates":[213],"average":[215],"improvement":[216],"5.7%":[218],"in":[219,225,238],"S<inf":[220],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[221],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u03b1</inf>":[222],"14.02%":[224],"$F_\\beta":[226],"^w$,":[227],"while":[228],"against":[229],"segmentation":[231],"it":[233],"achieves":[234],"5.97%":[236],"increase":[237],"m-IoU.":[239],"resources":[244],"available":[246],"https://github.com/CAM-FSS/FSS-COD.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}