{"id":"https://openalex.org/W4285310685","doi":"https://doi.org/10.1109/tcsvt.2022.3178173","title":"Camouflaged Object Detection via Context-Aware Cross-Level Fusion","display_name":"Camouflaged Object Detection via Context-Aware Cross-Level Fusion","publication_year":2022,"publication_date":"2022-05-26","ids":{"openalex":"https://openalex.org/W4285310685","doi":"https://doi.org/10.1109/tcsvt.2022.3178173"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3178173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3178173","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/A5100765638","display_name":"Geng Chen","orcid":"https://orcid.org/0000-0001-8350-6581"},"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":"Geng Chen","raw_affiliation_strings":["Northwestern Polytechnical University, Xi&#x2019;an, China","National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, China"],"raw_orcid":"https://orcid.org/0000-0001-8350-6581","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Si-Jie Liu","orcid":null},"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":"Si-Jie Liu","raw_affiliation_strings":["Northwestern Polytechnical University, Xi&#x2019;an, China","School of Power and Energy, Data Processing Center, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Power and Energy, Data Processing Center, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yu-Jia Sun","orcid":"https://orcid.org/0000-0002-0101-2789"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Jia Sun","raw_affiliation_strings":["School of Computer Science, Inner Mongolia University, Hohhot, ChinaChina"],"raw_orcid":"https://orcid.org/0000-0002-0101-2789","affiliations":[{"raw_affiliation_string":"School of Computer Science, Inner Mongolia University, Hohhot, ChinaChina","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001285878","display_name":"Ge-Peng Ji","orcid":"https://orcid.org/0000-0001-7092-2877"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge-Peng Ji","raw_affiliation_strings":["Artificial Intelligence Institute, School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7092-2877","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Institute, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091678461","display_name":"Yafeng Wu","orcid":"https://orcid.org/0009-0007-3157-5340"},"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":"Ya-Feng Wu","raw_affiliation_strings":["Northwestern Polytechnical University, Xi&#x2019;an, China","School of Power and Energy, Data Processing Center, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Power and Energy, Data Processing Center, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101817616","display_name":"Tao Zhou","orcid":"https://orcid.org/0000-0002-3733-7286"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhou","raw_affiliation_strings":["Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China","School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.3004,"has_fulltext":false,"cited_by_count":255,"citation_normalized_percentile":{"value":0.99687667,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"32","issue":"10","first_page":"6981","last_page":"6993"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9905999898910522,"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":0.9854999780654907,"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/context","display_name":"Context (archaeology)","score":0.7251049280166626},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.6395801901817322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6298375129699707},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5903080701828003},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.585435152053833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5594435334205627},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5240902304649353},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4857816994190216},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3507290780544281},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24944403767585754},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.08596831560134888}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7251049280166626},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.6395801901817322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6298375129699707},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5903080701828003},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.585435152053833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5594435334205627},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5240902304649353},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4857816994190216},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3507290780544281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24944403767585754},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.08596831560134888},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3178173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3178173","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":[],"awards":[{"id":"https://openalex.org/G5642934762","display_name":null,"funder_award_id":"Scip202102","funder_id":"https://openalex.org/F4320322999","funder_display_name":"Shanghai Jiao Tong University"},{"id":"https://openalex.org/G5997687662","display_name":null,"funder_award_id":"D5000220213","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8249999852","display_name":null,"funder_award_id":"62172228","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/F4320322999","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1586903776","https://openalex.org/W1901129140","https://openalex.org/W1994922096","https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2067972545","https://openalex.org/W2077474654","https://openalex.org/W2339309815","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2560328367","https://openalex.org/W2565639579","https://openalex.org/W2593488799","https://openalex.org/W2767623212","https://openalex.org/W2799074129","https://openalex.org/W2920326761","https://openalex.org/W2928165649","https://openalex.org/W2939217524","https://openalex.org/W2943545929","https://openalex.org/W2955058313","https://openalex.org/W2961348656","https://openalex.org/W2962927567","https://openalex.org/W2963091558","https://openalex.org/W2963112696","https://openalex.org/W2963150697","https://openalex.org/W2963529609","https://openalex.org/W2963685207","https://openalex.org/W2963706010","https://openalex.org/W2963849369","https://openalex.org/W2963868681","https://openalex.org/W2976669726","https://openalex.org/W2979515228","https://openalex.org/W2979600871","https://openalex.org/W2981689412","https://openalex.org/W2990984982","https://openalex.org/W2995936506","https://openalex.org/W2996290406","https://openalex.org/W2997316506","https://openalex.org/W2998272627","https://openalex.org/W2998449272","https://openalex.org/W2999580839","https://openalex.org/W3011305844","https://openalex.org/W3027763298","https://openalex.org/W3034684132","https://openalex.org/W3039991645","https://openalex.org/W3082631269","https://openalex.org/W3092344722","https://openalex.org/W3094815392","https://openalex.org/W3094897602","https://openalex.org/W3095586648","https://openalex.org/W3097053213","https://openalex.org/W3097336090","https://openalex.org/W3108460979","https://openalex.org/W3108948422","https://openalex.org/W3111384243","https://openalex.org/W3121052081","https://openalex.org/W3137142667","https://openalex.org/W3140528754","https://openalex.org/W3164098653","https://openalex.org/W3168112135","https://openalex.org/W3176152216","https://openalex.org/W3179443972","https://openalex.org/W3190335749","https://openalex.org/W3199914841","https://openalex.org/W3202285299","https://openalex.org/W3208937872","https://openalex.org/W3209871728","https://openalex.org/W3210073375","https://openalex.org/W3211937532","https://openalex.org/W4205432963","https://openalex.org/W4220880800","https://openalex.org/W4308456711","https://openalex.org/W6772039619"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2504004674","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W2951187577"],"abstract_inverted_index":{"Camouflaged":[0],"object":[1,33,36],"detection":[2],"(COD)":[3],"aims":[4],"to":[5,106,147,155,161],"identify":[6],"the":[7,29,89,92,108,149,163,218],"objects":[8],"that":[9,192],"conceal":[10],"themselves":[11],"in":[12,127,230],"natural":[13],"scenes.":[14],"Accurate":[15],"COD":[16,203,231],"suffers":[17],"from":[18,76,136],"a":[19,46,100,128,133],"number":[20],"of":[21,32,94,221],"challenges":[22],"associated":[23],"with":[24,79,185],"low":[25],"boundary":[26],"contrast":[27],"and":[28,38,123,176,205],"large":[30],"variation":[31],"appearances,":[34],"e.g.,":[35],"size":[37],"shape.":[39],"To":[40],"address":[41],"these":[42],"challenges,":[43],"we":[44,71],"propose":[45,99],"novel":[47],"Context-aware":[48],"Cross-level":[49,82],"Fusion":[50,83],"Network":[51],"(":[52],"<inline-formula":[53,178,193,223],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[54,179,194,224,241],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[55,180,195,225],"<tex-math":[56,181,196,226],"notation=\"LaTeX\">$\\text{C}^{2}\\text{F}$":[57,182,197,227],"</tex-math></inline-formula>":[58,183,198,228],"-Net),":[59],"which":[60,86],"fuses":[61],"context-aware":[62],"cross-level":[63],"features":[64,78,90,110,151],"for":[65,111,131],"accurately":[66],"identifying":[67],"camouflaged":[68],"objects.":[69],"Specifically,":[70],"compute":[72],"informative":[73,112],"attention":[74,95,145],"coefficients":[75],"multi-level":[77],"our":[80,156,222],"Attention-induced":[81],"Module":[84,104,159],"(ACFM),":[85],"further":[87],"integrates":[88],"under":[91],"guidance":[93],"coefficients.":[96],"We":[97,166],"then":[98],"Dual-branch":[101],"Global":[102],"Context":[103],"(DGCM)":[105],"refine":[107,148],"fused":[109],"feature":[113],"representations":[114],"by":[115],"exploiting":[116],"rich":[117],"global":[118],"context":[119],"information.":[120],"Multiple":[121],"ACFMs":[122],"DGCMs":[124],"are":[125],"integrated":[126],"cascaded":[129],"manner":[130],"generating":[132],"coarse":[134,140],"prediction":[135,141],"high-level":[137],"features.":[138],"The":[139,189],"acts":[142],"as":[143],"an":[144,201,211],"map":[146],"low-level":[150],"before":[152],"passing":[153],"them":[154],"Camouflage":[157],"Inference":[158],"(CIM)":[160],"generate":[162],"final":[164],"prediction.":[165],"perform":[167],"extensive":[168],"experiments":[169],"on":[170,213],"three":[171],"widely":[172],"used":[173],"benchmark":[174],"datasets":[175,216],"compare":[177],"-Net":[184,199,229],"state-of-the-art":[186],"(SOTA)":[187],"models.":[188],"results":[190],"show":[191],"is":[200,236],"effective":[202],"model":[204],"outperforms":[206],"SOTA":[207],"models":[208],"remarkably.":[209],"Further,":[210],"evaluation":[212],"polyp":[214],"segmentation":[215],"demonstrates":[217],"promising":[219],"potentials":[220],"downstream":[232],"applications.":[233],"Our":[234],"code":[235],"publicly":[237],"available":[238],"at:":[239],"<uri":[240],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Ben57882/C2FNet-TSCVT</uri>":[242]},"counts_by_year":[{"year":2026,"cited_by_count":29},{"year":2025,"cited_by_count":105},{"year":2024,"cited_by_count":76},{"year":2023,"cited_by_count":43},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}
