{"id":"https://openalex.org/W4283724275","doi":"https://doi.org/10.1145/3545609","title":"Frequency-aware Camouflaged Object Detection","display_name":"Frequency-aware Camouflaged Object Detection","publication_year":2022,"publication_date":"2022-06-30","ids":{"openalex":"https://openalex.org/W4283724275","doi":"https://doi.org/10.1145/3545609"},"language":"en","primary_location":{"id":"doi:10.1145/3545609","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3545609","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5031228604","display_name":"Jiaying Lin","orcid":"https://orcid.org/0000-0003-1260-906X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiaying Lin","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-1260-906X","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080281882","display_name":"Xin Tan","orcid":"https://orcid.org/0000-0001-9346-1196"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Xin Tan","raw_affiliation_strings":["East China Normal University and City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-9346-1196","affiliations":[{"raw_affiliation_string":"East China Normal University and City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I66867065","https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025567094","display_name":"Ke Xu","orcid":"https://orcid.org/0000-0001-5855-3810"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ke Xu","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-5855-3810","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084218062","display_name":"Lizhuang Ma","orcid":"https://orcid.org/0000-0003-1653-4341"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhuang Ma","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0003-1653-4341","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006197413","display_name":"Rynson W. H. Lau","orcid":"https://orcid.org/0000-0002-8957-8129"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Rynson W. H. Lau","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-8957-8129","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7961,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.96326562,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"19","issue":"2","first_page":"1","last_page":"16"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9980000257492065,"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":0.993399977684021,"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/discriminative-model","display_name":"Discriminative model","score":0.7470086812973022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7423402070999146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6845476627349854},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6531552076339722},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6170002818107605},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5972413420677185},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5734542608261108},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5569434762001038},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5281952619552612},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5041071176528931},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.49578389525413513},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4777102470397949},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44844937324523926},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4378502666950226},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09295594692230225}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7470086812973022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423402070999146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6845476627349854},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6531552076339722},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6170002818107605},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5972413420677185},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5734542608261108},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5569434762001038},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5281952619552612},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5041071176528931},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.49578389525413513},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4777102470397949},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44844937324523926},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4378502666950226},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09295594692230225},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3545609","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3545609","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1687112550","https://openalex.org/W1817277359","https://openalex.org/W2092792357","https://openalex.org/W2151040689","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2793886546","https://openalex.org/W2943545929","https://openalex.org/W2994754739","https://openalex.org/W2996290406","https://openalex.org/W3113960880","https://openalex.org/W3138516171","https://openalex.org/W3183229916","https://openalex.org/W3209519737","https://openalex.org/W3210097264","https://openalex.org/W4214666412","https://openalex.org/W4282922170","https://openalex.org/W6638480814","https://openalex.org/W6788404544"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W1537496349"],"abstract_inverted_index":{"Camouflaged":[0],"object":[1,14,127],"detection":[2,15],"(COD)":[3],"is":[4],"important":[5,163],"as":[6,70],"it":[7],"has":[8],"various":[9],"potential":[10],"applications.":[11],"Unlike":[12],"salient":[13,22],"(SOD),":[16],"which":[17],"tries":[18,25],"to":[19,26,34,45,99,103,110,138,156,171,176,180],"identify":[20],"visually":[21,31],"objects,":[23],"COD":[24,42,69],"detect":[27],"objects":[28,81,114],"that":[29,40,186],"are":[30,76],"very":[32],"similar":[33],"the":[35,84,105,158,161,173],"surrounding":[36,117],"background.":[37],"We":[38],"observe":[39],"recent":[41],"methods":[43],"try":[44],"fuse":[46],"features":[47,85,145,159],"from":[48,86,115,146],"different":[49],"levels":[50],"using":[51],"some":[52],"context":[53,73,134],"aggregation":[54,74,135],"strategies":[55,75],"originally":[56],"developed":[57],"for":[58,68,125],"SOD.":[59],"Such":[60],"an":[61,150],"approach,":[62],"however,":[63],"may":[64],"not":[65],"be":[66],"appropriate":[67],"these":[71],"existing":[72],"good":[77],"at":[78],"detecting":[79],"distinctive":[80],"while":[82],"weakening":[83],"less":[87],"discriminative":[88],"objects.":[89],"To":[90],"address":[91],"this":[92,97],"problem,":[93],"we":[94,130],"propose":[95],"in":[96],"article":[98],"exploit":[100],"frequency":[101,148,152,164],"learning":[102],"suppress":[104,139],"confusing":[106],"high-frequency":[107,140],"texture":[108],"information,":[109],"help":[111],"separate":[112],"camouflaged":[113,126],"their":[116],"background,":[118],"and":[119,142,166],"a":[120,132,147,167],"frequency-based":[121],"method,":[122],"called":[123],"FBNet,":[124],"detection.":[128],"Specifically,":[129],"design":[131],"frequency-aware":[133],"(FACA)":[136],"module":[137,155],"information":[141],"aggregate":[143],"multi-scale":[144],"perspective,":[149],"adaptive":[151],"attention":[153,179],"(AFA)":[154],"enhance":[157],"of":[160],"learned":[162],"components,":[165],"gradient-weighted":[168],"loss":[169],"function":[170],"guide":[172],"proposed":[174],"method":[175],"pay":[177],"more":[178],"contour":[181],"details.":[182],"Experimental":[183],"results":[184],"show":[185],"our":[187],"model":[188],"outperforms":[189],"relevant":[190],"state-of-the-art":[191],"methods.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}