{"id":"https://openalex.org/W4405232313","doi":"https://doi.org/10.1109/tcsvt.2024.3514713","title":"SAM-COD+: SAM-Guided Unified Framework for Weakly-Supervised Camouflaged Object Detection","display_name":"SAM-COD+: SAM-Guided Unified Framework for Weakly-Supervised Camouflaged Object Detection","publication_year":2024,"publication_date":"2024-12-10","ids":{"openalex":"https://openalex.org/W4405232313","doi":"https://doi.org/10.1109/tcsvt.2024.3514713"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3514713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3514713","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5018905757","display_name":"Huafeng Chen","orcid":"https://orcid.org/0000-0001-8371-0216"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huafeng Chen","raw_affiliation_strings":["Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041227759","display_name":"Pengxu Wei","orcid":"https://orcid.org/0000-0002-2190-0767"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengxu Wei","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002446197","display_name":"Guangqian Guo","orcid":"https://orcid.org/0000-0002-8940-1382"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangqian Guo","raw_affiliation_strings":["Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100666836","display_name":"Shan Gao","orcid":"https://orcid.org/0000-0002-3427-5825"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Gao","raw_affiliation_strings":["Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018905757"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":2.6949,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91731269,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"35","issue":"5","first_page":"4635","last_page":"4647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.998199999332428,"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":0.998199999332428,"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":0.9804999828338623,"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":0.9726999998092651,"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":0.6051393151283264},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5565031170845032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5502427816390991},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5162791609764099},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4837470054626465},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4581124186515808},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.42195141315460205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6051393151283264},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5565031170845032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5502427816390991},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5162791609764099},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4837470054626465},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4581124186515808},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.42195141315460205}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3514713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3514713","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G1506100783","display_name":null,"funder_award_id":"U21A20470","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3196335842","display_name":null,"funder_award_id":"62376292","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3618867521","display_name":null,"funder_award_id":"62372382","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7153925023","display_name":null,"funder_award_id":"2024A1515010208","funder_id":"https://openalex.org/F4320317781","funder_display_name":"Guangdong Provincial Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320317781","display_name":"Guangdong Provincial Postdoctoral Science Foundation","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1894057436","https://openalex.org/W1901129140","https://openalex.org/W1994922096","https://openalex.org/W2002781701","https://openalex.org/W2021088830","https://openalex.org/W2038754339","https://openalex.org/W2039313011","https://openalex.org/W2039367092","https://openalex.org/W2051624325","https://openalex.org/W2285968993","https://openalex.org/W2294370754","https://openalex.org/W2740667773","https://openalex.org/W2798825526","https://openalex.org/W2807746031","https://openalex.org/W2884436604","https://openalex.org/W2884555738","https://openalex.org/W2943545929","https://openalex.org/W2948510860","https://openalex.org/W2961348656","https://openalex.org/W2962680827","https://openalex.org/W2963529609","https://openalex.org/W2963685207","https://openalex.org/W2963868681","https://openalex.org/W2964352379","https://openalex.org/W2979515228","https://openalex.org/W2989161706","https://openalex.org/W2997286550","https://openalex.org/W3027763298","https://openalex.org/W3034453930","https://openalex.org/W3034684132","https://openalex.org/W3131182250","https://openalex.org/W3131500599","https://openalex.org/W3153051248","https://openalex.org/W3159481202","https://openalex.org/W3164098653","https://openalex.org/W3168112135","https://openalex.org/W3171007011","https://openalex.org/W3173782971","https://openalex.org/W3176152216","https://openalex.org/W3177087374","https://openalex.org/W3179443972","https://openalex.org/W3182906273","https://openalex.org/W3190335749","https://openalex.org/W3202263958","https://openalex.org/W3202285299","https://openalex.org/W3203700770","https://openalex.org/W3204446219","https://openalex.org/W3209871728","https://openalex.org/W3211937532","https://openalex.org/W4285079134","https://openalex.org/W4285310685","https://openalex.org/W4299652825","https://openalex.org/W4304014270","https://openalex.org/W4312258849","https://openalex.org/W4313151123","https://openalex.org/W4313535374","https://openalex.org/W4382465636","https://openalex.org/W4386232833","https://openalex.org/W4387968376","https://openalex.org/W4390874575","https://openalex.org/W4400409506","https://openalex.org/W4401024939","https://openalex.org/W4402660119","https://openalex.org/W4403791281","https://openalex.org/W4405232313","https://openalex.org/W6767021658","https://openalex.org/W6852040150","https://openalex.org/W6852249959","https://openalex.org/W6852404605"],"related_works":["https://openalex.org/W2114275278","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W1489511283","https://openalex.org/W2974914859","https://openalex.org/W2026565050","https://openalex.org/W2110244802","https://openalex.org/W2163728705","https://openalex.org/W949345935","https://openalex.org/W2109550041"],"abstract_inverted_index":{"Most":[0],"Camouflaged":[1],"Object":[2],"Detection":[3],"(COD)":[4],"methods":[5,29],"heavily":[6],"rely":[7],"on":[8,126,187],"mask":[9,157],"annotations,":[10],"which":[11,106],"are":[12],"time-consuming":[13],"and":[14,30,47,64,81,133,203,210],"labor-intensive":[15],"to":[16,27,32,59,120,137,168],"acquire.":[17],"Existing":[18],"weakly-supervised":[19,62,112,202],"COD":[20,63,99,148,190],"approaches":[21],"exhibit":[22],"significantly":[23],"inferior":[24],"performance":[25],"compared":[26],"fully-supervised":[28,205],"struggle":[31],"simultaneously":[33],"support":[34],"all":[35],"the":[36,61,73,139,142,152,176,195],"existing":[37],"types":[38],"of":[39,69,72,109,141,155,162,178,197],"camouflaged":[40,89],"object":[41],"labels,":[42,75],"including":[43],"scribbles,":[44],"bounding":[45],"boxes,":[46],"points.":[48],"Even":[49],"for":[50],"Segment":[51],"Anything":[52],"Model":[53],"(SAM),":[54],"it":[55,65],"is":[56,107,166],"still":[57],"problematic":[58],"handle":[60,121],"typically":[66],"encounters":[67],"challenges":[68],"prompt":[70,118],"compatibility":[71],"scribble":[74],"extreme":[76],"response,":[77,80],"semantically":[78],"erroneous":[79],"unstable":[82],"feature":[83,172],"representations,":[84],"producing":[85],"unsatisfactory":[86],"results":[87,193],"in":[88,101],"scenes.":[90],"To":[91,150,174],"mitigate":[92],"these":[93],"issues,":[94],"we":[95,129,181],"propose":[96],"a":[97,117,159,170],"unified":[98],"framework":[100],"this":[102],"paper,":[103],"termed":[104],"SAM-COD,":[105],"capable":[108],"supporting":[110],"arbitrary":[111],"labels.":[113],"Our":[114,207],"SAM-COD":[115],"employs":[116],"adapter":[119],"scribbles":[122],"as":[123],"prompts":[124],"based":[125],"SAM.":[127],"Meanwhile,":[128],"introduce":[130],"response":[131],"filter":[132],"semantic":[134],"matcher":[135],"modules":[136],"improve":[138],"quality":[140],"masks":[143],"obtained":[144],"by":[145],"SAM":[146],"under":[147],"prompts.":[149],"alleviate":[151],"negative":[153],"impacts":[154],"inaccurate":[156],"predictions,":[158],"new":[160],"strategy":[161],"prompt-adaptive":[163],"knowledge":[164],"distillation":[165],"utilized":[167],"ensure":[169],"reliable":[171],"representation.":[173],"validate":[175],"effectiveness":[177],"our":[179,198],"approach,":[180],"have":[182],"conducted":[183],"extensive":[184],"empirical":[185],"experiments":[186],"three":[188],"mainstream":[189],"benchmarks.":[191],"The":[192],"demonstrate":[194],"superiority":[196],"method":[199],"against":[200],"state-of-the-art":[201],"even":[204],"methods.":[206],"source":[208],"codes":[209],"trained":[211],"models":[212],"will":[213],"be":[214],"publicly":[215],"released.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}