{"id":"https://openalex.org/W4408223192","doi":"https://doi.org/10.1109/lsp.2025.3549010","title":"Frequency Domain-Based Cross-Layer Feature Aggregation Network for Camouflaged Object Detection","display_name":"Frequency Domain-Based Cross-Layer Feature Aggregation Network for Camouflaged Object Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408223192","doi":"https://doi.org/10.1109/lsp.2025.3549010"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3549010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3549010","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5074945478","display_name":"Chunhong Ren","orcid":"https://orcid.org/0009-0008-4914-9240"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhong Ren","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University Guiyang, Guizhou, China","School of Big Data Computer Science, Guizhou Normal University Guiyang, Guizhou, China"],"raw_orcid":"https://orcid.org/0009-0008-4914-9240","affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I154893126"]},{"raw_affiliation_string":"School of Big Data Computer Science, Guizhou Normal University Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102975364","display_name":"Anzhi Wang","orcid":"https://orcid.org/0000-0002-0736-2624"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anzhi Wang","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University Guiyang, Guizhou, China","School of Big Data Computer Science, Guizhou Normal University Guiyang, Guizhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0736-2624","affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I154893126"]},{"raw_affiliation_string":"School of Big Data Computer Science, Guizhou Normal University Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chengbang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengbang Yang","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University Guiyang, Guizhou, China","School of Big Data Computer Science, Guizhou Normal University Guiyang, Guizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I154893126"]},{"raw_affiliation_string":"School of Big Data Computer Science, Guizhou Normal University Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022105665","display_name":"Jintao Wu","orcid":"https://orcid.org/0009-0009-3317-5011"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jintao Wu","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University Guiyang, Guizhou, China","School of Big Data Computer Science, Guizhou Normal University Guiyang, Guizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I154893126"]},{"raw_affiliation_string":"School of Big Data Computer Science, Guizhou Normal University Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"last","author":{"id":null,"display_name":"Minghui Wang","orcid":"https://orcid.org/0000-0003-2033-0026"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghui Wang","raw_affiliation_strings":["School of Computer Science College, Sichuan University Chengdu, Sichuan, China","School of Computer Science, College of Sichuan University Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0003-2033-0026","affiliations":[{"raw_affiliation_string":"School of Computer Science College, Sichuan University Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"School of Computer Science, College of Sichuan University Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9308,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.93843734,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"32","issue":null,"first_page":"2005","last_page":"2009"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9962000250816345,"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":0.9962000250816345,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9767000079154968,"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":0.6673583984375},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6469094753265381},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.6254651546478271},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6098357439041138},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5466641783714294},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5443427562713623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4840909242630005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4494374692440033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44055742025375366},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4394386410713196},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41753262281417847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1400500237941742}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6673583984375},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6469094753265381},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.6254651546478271},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6098357439041138},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5466641783714294},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5443427562713623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4840909242630005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4494374692440033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44055742025375366},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4394386410713196},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41753262281417847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1400500237941742},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3549010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3549010","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2222404546","display_name":null,"funder_award_id":"62162013","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1982075130","https://openalex.org/W2750506686","https://openalex.org/W2943545929","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W3034684132","https://openalex.org/W3035422681","https://openalex.org/W3164098653","https://openalex.org/W3175515048","https://openalex.org/W3176152216","https://openalex.org/W3179443972","https://openalex.org/W3190335749","https://openalex.org/W4213181610","https://openalex.org/W4214666412","https://openalex.org/W4225257078","https://openalex.org/W4285079134","https://openalex.org/W4299652825","https://openalex.org/W4312258849","https://openalex.org/W4313023779","https://openalex.org/W4315490105","https://openalex.org/W4380742294","https://openalex.org/W4386076039","https://openalex.org/W4386159716","https://openalex.org/W4387969595","https://openalex.org/W4389286259","https://openalex.org/W4390976703","https://openalex.org/W4391019532","https://openalex.org/W4391407087","https://openalex.org/W4391465821","https://openalex.org/W4394625531","https://openalex.org/W4400579361","https://openalex.org/W6631190155","https://openalex.org/W6737664043","https://openalex.org/W6795140394","https://openalex.org/W6798274885"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2256933480","https://openalex.org/W2027854990","https://openalex.org/W2370081953","https://openalex.org/W2364428742","https://openalex.org/W2378290951"],"abstract_inverted_index":{"Despite":[0],"the":[1,27,46,52,56,59,80,121,143],"progress":[2],"of":[3,29,45,55,61,82,101,136,149],"existing":[4],"techniques":[5],"in":[6,95],"Camouflaged":[7],"Object":[8],"Detection,":[9],"there":[10],"are":[11],"still":[12],"problems":[13,81],"such":[14,40],"as":[15,41],"multi-target":[16,83],"omission,":[17,84],"small-object":[18],"misjudgment,":[19],"and":[20,23,43,91,104,109,119,129,138,146],"insufficient":[21,92],"localization":[22,89],"segmentation":[24,93,148],"accuracy.":[25],"With":[26],"advantage":[28],"image":[30],"frequency":[31,127,139],"domain":[32],"transformation,":[33],"high-frequency":[34],"features":[35,50],"can":[36],"capture":[37],"detailed":[38],"information":[39],"edges":[42],"textures":[44],"image,":[47,57],"while":[48,124],"low-frequency":[49],"depict":[51],"overall":[53],"outline":[54],"improving":[58],"accuracy":[60,94],"camouflage":[62],"object":[63,88],"detection.":[64],"Therefore,":[65],"this":[66],"paper":[67],"proposes":[68],"a":[69,110],"Frequency":[70],"Domain-Based":[71],"Cross-layer":[72],"Feature":[73],"Aggregation":[74],"Network":[75],"(FCFANet),":[76],"aiming":[77],"to":[78],"improve":[79],"small":[85],"target":[86],"loss,":[87],"deviation,":[90],"complex":[96],"scenes.":[97],"FCFANet":[98,160],"mainly":[99],"consists":[100],"an":[102],"Intra-":[103],"Inter-layer":[105],"Enhancement":[106],"Module":[107,114],"(IEM)":[108],"Frequency-Spatial":[111],"Interaction":[112],"Fusion":[113],"(FSIFM).":[115],"IEM":[116],"reduces":[117],"noise":[118],"enhances":[120,130],"feature":[122,131],"representation,":[123],"FSIFM":[125],"extracts":[126],"information,":[128],"discrimination":[132],"by":[133],"complementary":[134],"fusion":[135],"spatial":[137],"domains,":[140],"thus":[141],"realizing":[142],"precise":[144],"positioning":[145],"high-precision":[147],"camouflaged":[150],"objects.":[151],"Compared":[152],"with":[153],"16":[154],"state-of-the-art(SOTA)":[155],"methods,":[156],"experiments":[157],"show":[158],"that":[159],"outperforms":[161],"other":[162],"SOTA":[163],"methods":[164],"on":[165],"four":[166],"benchmark":[167],"datasets.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
