{"id":"https://openalex.org/W4413929290","doi":"https://doi.org/10.3390/jimaging11090299","title":"Hybrid-Recursive-Refinement Network for Camouflaged Object Detection","display_name":"Hybrid-Recursive-Refinement Network for Camouflaged Object Detection","publication_year":2025,"publication_date":"2025-09-02","ids":{"openalex":"https://openalex.org/W4413929290","doi":"https://doi.org/10.3390/jimaging11090299","pmid":"https://pubmed.ncbi.nlm.nih.gov/41003350"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging11090299","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11090299","pdf_url":"https://www.mdpi.com/2313-433X/11/9/299/pdf?version=1756819440","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/11/9/299/pdf?version=1756819440","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002040522","display_name":"Hailong Chen","orcid":"https://orcid.org/0000-0002-0700-8852"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hailong Chen","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China"],"raw_orcid":"https://orcid.org/0000-0002-0700-8852","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382954","display_name":"Xinyi Wang","orcid":"https://orcid.org/0000-0002-7389-6018"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Wang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024364580","display_name":"Haipeng Jin","orcid":"https://orcid.org/0000-0002-3895-5799"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haipeng Jin","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002040522"],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.5475,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67157505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"11","issue":"9","first_page":"299","last_page":"299"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.996999979019165,"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":0.9937999844551086,"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":0.7913731336593628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5678526163101196},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5345536470413208},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4936583936214447},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36373692750930786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7913731336593628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5678526163101196},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5345536470413208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4936583936214447},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36373692750930786}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/jimaging11090299","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11090299","pdf_url":"https://www.mdpi.com/2313-433X/11/9/299/pdf?version=1756819440","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:41003350","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41003350","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:374c22145be040958c7492eed916d751","is_oa":true,"landing_page_url":"https://doaj.org/article/374c22145be040958c7492eed916d751","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 11, Iss 9, p 299 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11279868","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12470956","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:12470956","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12470956/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging11090299","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11090299","pdf_url":"https://www.mdpi.com/2313-433X/11/9/299/pdf?version=1756819440","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7090326123","display_name":"\u7f3a\u635f\u6570\u636e\u7684\u9c81\u68d2\u975e\u5b8c\u6574\u591a\u89c6\u56fe\u5b66\u4e60\u65b9\u6cd5\u53ca\u5176\u89c6\u89c9\u5e94\u7528\u7814\u7a76","funder_award_id":"62071157","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413929290.pdf","grobid_xml":"https://content.openalex.org/works/W4413929290.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1982075130","https://openalex.org/W1994922096","https://openalex.org/W2121034719","https://openalex.org/W2504335775","https://openalex.org/W2943545929","https://openalex.org/W2963112696","https://openalex.org/W2963299740","https://openalex.org/W2963529609","https://openalex.org/W3016950572","https://openalex.org/W3022015146","https://openalex.org/W3034684132","https://openalex.org/W3035502324","https://openalex.org/W3092344722","https://openalex.org/W3120113457","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3164098653","https://openalex.org/W3164934093","https://openalex.org/W3168112135","https://openalex.org/W3173782971","https://openalex.org/W3176152216","https://openalex.org/W3190335749","https://openalex.org/W3211937532","https://openalex.org/W4285601297","https://openalex.org/W4308180443","https://openalex.org/W4312258849","https://openalex.org/W4312880622","https://openalex.org/W4315490105","https://openalex.org/W4362667213","https://openalex.org/W4366082837","https://openalex.org/W4382465636","https://openalex.org/W4383890466","https://openalex.org/W4386075673","https://openalex.org/W4386076039","https://openalex.org/W4391594089","https://openalex.org/W4398226159","https://openalex.org/W4400975057","https://openalex.org/W4401328675","https://openalex.org/W4401963252","https://openalex.org/W4402727814","https://openalex.org/W4402727868","https://openalex.org/W4404879642","https://openalex.org/W4405035347","https://openalex.org/W4405963173","https://openalex.org/W4406457466","https://openalex.org/W4412399532"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Camouflaged":[0],"object":[1,159],"detection":[2],"(COD)":[3],"seeks":[4],"to":[5,21],"precisely":[6],"detect":[7],"and":[8,16,25,54,78,97,126,153,176],"delineate":[9],"objects":[10,152],"that":[11,36,71,90,117,179],"are":[12],"concealed":[13],"within":[14],"complex":[15],"ambiguous":[17],"backgrounds.":[18],"However,":[19],"due":[20],"subtle":[22],"texture":[23],"variations":[24],"semantic":[26],"ambiguity,":[27],"it":[28],"remains":[29],"a":[30,84,112,142],"highly":[31],"challenging":[32],"task.":[33],"Existing":[34],"methods":[35],"rely":[37],"solely":[38],"on":[39,166],"either":[40],"convolutional":[41],"neural":[42],"network":[43],"(CNN)":[44],"or":[45],"Transformer":[46,98],"architectures":[47],"often":[48],"suffer":[49],"from":[50,95],"incomplete":[51],"feature":[52],"representations":[53],"the":[55,62,74,102,106],"loss":[56],"of":[57,76,105],"boundary":[58,155],"details.":[59],"To":[60],"address":[61],"aforementioned":[63],"challenges,":[64],"we":[65,82,110,140],"propose":[66,141],"an":[67],"innovative":[68],"hybrid":[69],"architecture":[70],"synergistically":[72],"leverages":[73],"strengths":[75],"CNNs":[77],"Transformers.":[79],"In":[80,138],"particular,":[81],"devise":[83],"Hybrid":[85],"Feature":[86],"Fusion":[87],"Module":[88],"(HFFM)":[89],"harmonizes":[91],"hierarchical":[92,120],"features":[93,121],"extracted":[94],"CNN":[96],"pathways,":[99],"ultimately":[100],"boosting":[101],"representational":[103],"quality":[104],"combined":[107],"features.":[108],"Furthermore,":[109],"design":[111],"Combined":[113],"Recursive":[114],"Decoder":[115],"(CRD)":[116],"adaptively":[118],"aggregates":[119],"through":[122],"recursive":[123],"pooling/upsampling":[124],"operators":[125],"stage-wise":[127],"mask-guided":[128],"refinement,":[129],"enabling":[130],"precise":[131],"structural":[132],"detail":[133],"capture":[134],"across":[135],"multiple":[136],"scales.":[137],"addition,":[139],"Foreground-Background":[143],"Selection":[144],"(FBS)":[145],"module,":[146],"which":[147],"alternates":[148],"attention":[149],"between":[150],"foreground":[151],"background":[154,163],"regions,":[156],"progressively":[157],"refining":[158],"contours":[160],"while":[161],"suppressing":[162],"interference.":[164],"Evaluations":[165],"four":[167],"widely":[168],"used":[169],"public":[170],"COD":[171],"datasets,":[172],"CHAMELEON,":[173],"CAMO,":[174],"COD10K,":[175],"NC4K,":[177],"demonstrate":[178],"our":[180],"method":[181],"achieves":[182],"state-of-the-art":[183],"performance.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
