{"id":"https://openalex.org/W3209871728","doi":"https://doi.org/10.1109/tcsvt.2021.3124952","title":"Rethinking Camouflaged Object Detection: Models and Datasets","display_name":"Rethinking Camouflaged Object Detection: Models and Datasets","publication_year":2021,"publication_date":"2021-11-02","ids":{"openalex":"https://openalex.org/W3209871728","doi":"https://doi.org/10.1109/tcsvt.2021.3124952","mag":"3209871728"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3124952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3124952","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/A5013301642","display_name":"Hongbo Bi","orcid":"https://orcid.org/0000-0003-2442-330X"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongbo Bi","raw_affiliation_strings":["Department of Electrical Information Engineering, Northeast Petroleum University, Daqing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Information Engineering, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054518730","display_name":"Cong Zhang","orcid":"https://orcid.org/0000-0002-8952-0429"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Zhang","raw_affiliation_strings":["Department of Electrical Information Engineering, Northeast Petroleum University, Daqing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Information Engineering, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381652","display_name":"Kang Wang","orcid":"https://orcid.org/0000-0002-5201-4354"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Wang","raw_affiliation_strings":["Electrical Engineering Information Department, Northeast Petroleum University, Daqing, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Information Department, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076369299","display_name":"Jinghui Tong","orcid":"https://orcid.org/0009-0009-7480-0856"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghui Tong","raw_affiliation_strings":["Electrical Engineering Information Department, Northeast Petroleum University, Daqing, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Information Department, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063285882","display_name":"Feng Zheng","orcid":"https://orcid.org/0000-0002-1701-9141"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zheng","raw_affiliation_strings":["Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013301642"],"corresponding_institution_ids":["https://openalex.org/I921716337"],"apc_list":null,"apc_paid":null,"fwci":5.7166,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.97149293,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"32","issue":"9","first_page":"5708","last_page":"5724"},"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9811999797821045,"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/object-detection","display_name":"Object detection","score":0.7657979726791382},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7603328227996826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.756028413772583},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6460173726081848},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6389071941375732},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5119200944900513},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48434174060821533},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41675353050231934},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40898704528808594}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7657979726791382},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7603328227996826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.756028413772583},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6460173726081848},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6389071941375732},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5119200944900513},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48434174060821533},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41675353050231934},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40898704528808594},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2021.3124952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3124952","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/G7180131230","display_name":null,"funder_award_id":"61972188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8142145165","display_name":null,"funder_award_id":"62122035","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1513184069","https://openalex.org/W1953433038","https://openalex.org/W1968773971","https://openalex.org/W1982075130","https://openalex.org/W1992992668","https://openalex.org/W1995517039","https://openalex.org/W2011792016","https://openalex.org/W2019939385","https://openalex.org/W2038754339","https://openalex.org/W2042939691","https://openalex.org/W2044712054","https://openalex.org/W2063779601","https://openalex.org/W2079806379","https://openalex.org/W2086084709","https://openalex.org/W2092792357","https://openalex.org/W2096542681","https://openalex.org/W2100470808","https://openalex.org/W2106492753","https://openalex.org/W2121034719","https://openalex.org/W2122423951","https://openalex.org/W2131606445","https://openalex.org/W2151040689","https://openalex.org/W2163798820","https://openalex.org/W2339309815","https://openalex.org/W2549024842","https://openalex.org/W2797488090","https://openalex.org/W2943545929","https://openalex.org/W2948300571","https://openalex.org/W2962823460","https://openalex.org/W2963334022","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W2963998427","https://openalex.org/W2965638232","https://openalex.org/W2970548470","https://openalex.org/W2990984982","https://openalex.org/W3002301267","https://openalex.org/W3011537656","https://openalex.org/W3011744394","https://openalex.org/W3016950572","https://openalex.org/W3027763298","https://openalex.org/W3034499925","https://openalex.org/W3034684132","https://openalex.org/W3035284915","https://openalex.org/W3035666869","https://openalex.org/W3039991645","https://openalex.org/W3092344722","https://openalex.org/W3092630514","https://openalex.org/W3095586648","https://openalex.org/W3097053213","https://openalex.org/W3102144978","https://openalex.org/W3120744030","https://openalex.org/W3148613765","https://openalex.org/W3152765238","https://openalex.org/W3159018159","https://openalex.org/W3163197207","https://openalex.org/W3164098653","https://openalex.org/W3168112135","https://openalex.org/W3173782971","https://openalex.org/W3174178235","https://openalex.org/W3176152216","https://openalex.org/W3179443972","https://openalex.org/W3185043317","https://openalex.org/W3188963955","https://openalex.org/W3202285299","https://openalex.org/W3211937532","https://openalex.org/W6782195116","https://openalex.org/W6788627440","https://openalex.org/W6797318503","https://openalex.org/W6797517638"],"related_works":["https://openalex.org/W2951187577","https://openalex.org/W4390721878","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W4254103348","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Camouflaged":[0],"object":[1,44,59,253,266],"detection":[2,8,27,45,60,176,201,204,243,254],"(COD)":[3],"is":[4],"an":[5,190],"emerging":[6],"visual":[7,26],"task,":[9],"which":[10],"aims":[11],"to":[12,131,135,241,260],"locate":[13],"and":[14,38,106,110,154,184,203,206,222,237,255],"distinguish":[15],"the":[16,24,68,143,175,194,208,224,233,238,248,262],"disguised":[17],"target":[18],"in":[19,35],"complex":[20],"backgrounds":[21],"by":[22],"imitating":[23],"human":[25],"system.":[28],"Recently,":[29],"COD":[30,65,77,89,104,116,127,220,236],"has":[31,78],"attracted":[32],"increasing":[33],"attention":[34],"computer":[36],"vision,":[37],"a":[39,73,99,121],"few":[40],"models":[41,105,128],"of":[42,70,124,193,210,226,235,251,264],"camouflaged":[43,58,252,265],"have":[46],"been":[47,80],"successfully":[48],"explored.":[49],"However,":[50],"most":[51],"existing":[52,64,126,144],"works":[53],"primarily":[54],"focus":[55],"on":[56,102,139,158,174,199],"modeling":[57],"over":[61],"in-depth":[62,191],"analyzing":[63],"structures.":[66],"To":[67,91],"best":[69],"our":[71],"knowledge,":[72],"systematic":[74],"review":[75,101],"for":[76,84,114],"not":[79],"publicly":[81],"reported,":[82],"especially":[83],"recently":[85],"proposed":[86,98],"deep":[87,159,195],"learning-based":[88,196],"models.":[90],"make":[92],"up":[93,216],"this":[94],"vacancy,":[95],"we":[96,119,141,163,188,214,230],"firstly":[97],"comprehensive":[100,122],"both":[103,200],"public":[107],"benchmark":[108],"datasets":[109,221],"provide":[111],"potential":[112],"directions":[113,259],"future":[115,257],"studies.":[117],"Specifically,":[118],"conduct":[120],"summary":[123],"39":[125],"from":[129],"1998":[130],"2021.":[132],"And":[133],"then,":[134],"facilitate":[136],"subsequent":[137],"research":[138,258],"COD,":[140],"classify":[142],"structures":[145,153,156,169],"into":[146,170],"two":[147],"categories,":[148],"27":[149],"traditional":[150,166],"handcrafted":[151,167],"feature-based":[152,168],"12":[155],"based":[157,173,198],"learning.":[160],"In":[161],"addition,":[162],"further":[164],"group":[165],"six":[171],"sub-classes":[172],"mechanism:":[177],"texture,":[178],"color,":[179],"motion,":[180],"intensity,":[181],"optical":[182],"flow,":[183],"multi-modal":[185],"fusion.":[186],"Furthermore,":[187],"take":[189],"analysis":[192],"structure":[197],"motivation":[202],"performance":[205,209],"evaluate":[207],"each":[211,227],"structure.":[212],"Moreover,":[213],"sum":[215],"four":[217],"widely":[218],"used":[219],"describe":[223],"details":[225],"one.":[228],"Finally,":[229],"also":[231],"discuss":[232],"limitations":[234],"corresponding":[239],"solutions":[240],"improve":[242],"accuracy.":[244],"We":[245],"still":[246],"mention":[247],"relevant":[249],"applications":[250],"its":[256],"promote":[261],"development":[263],"detection.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}