{"id":"https://openalex.org/W7138361319","doi":"https://doi.org/10.48550/arxiv.2603.13357","title":"Bi-CamoDiffusion: A Boundary-informed Diffusion Approach for Camouflaged Object Detection","display_name":"Bi-CamoDiffusion: A Boundary-informed Diffusion Approach for Camouflaged Object Detection","publication_year":2026,"publication_date":"2026-03-09","ids":{"openalex":"https://openalex.org/W7138361319","doi":"https://doi.org/10.48550/arxiv.2603.13357"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.13357","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13357","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.13357","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080085063","display_name":"Patricia L. Su\u00e1rez","orcid":"https://orcid.org/0000-0002-3684-0656"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suarez, Patricia L.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000019015","display_name":"Leo Ramos","orcid":"https://orcid.org/0000-0001-7107-7943"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramos, Leo Thomas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002373986","display_name":"\u00c1ngel D. Sappa","orcid":"https://orcid.org/0000-0003-2468-0031"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sappa, Angel D.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.8950999975204468,"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":0.8950999975204468,"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":0.031099999323487282,"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/T11996","display_name":"Random lasers and scattering media","score":0.010499999858438969,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.691100001335144},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6603999733924866},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5356000065803528},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.51910001039505},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4903999865055084},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.45730000734329224},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4189999997615814},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.3880999982357025}],"concepts":[{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.691100001335144},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6603999733924866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5604000091552734},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5356000065803528},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.51910001039505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5059999823570251},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4966999888420105},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4903999865055084},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4756999909877777},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.45730000734329224},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4189999997615814},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.3880999982357025},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37049999833106995},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3578999936580658},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3345000147819519},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.31380000710487366},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2953000068664551},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2831999957561493},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25459998846054077},{"id":"https://openalex.org/C17866373","wikidata":"https://www.wikidata.org/wiki/Q5437042","display_name":"Fast marching method","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.13357","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13357","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.13357","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13357","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Bi-CamoDiffusion":[0,76],"is":[1,34],"introduced,":[2],"an":[3],"evolution":[4],"of":[5,55,83],"the":[6,51,57,68,78],"CamoDiffusion":[7],"framework":[8],"for":[9],"camouflaged":[10],"object":[11],"detection.":[12],"It":[13],"integrates":[14],"edge":[15],"priors":[16],"into":[17],"early-stage":[18],"embeddings":[19],"via":[20],"a":[21,37,112],"parameter-free":[22],"injection":[23],"process,":[24],"which":[25],"enhances":[26],"boundary":[27,64,119],"sharpness":[28],"and":[29,47,61,71,86,109,117],"prevents":[30],"structural":[31,45],"ambiguity.":[32],"This":[33],"governed":[35],"by":[36],"unified":[38],"optimization":[39],"objective":[40],"that":[41,75],"balances":[42],"spatial":[43],"accuracy,":[44],"constraints,":[46],"uncertainty":[48],"supervision,":[49],"allowing":[50],"model":[52,95],"to":[53],"capture":[54],"both":[56],"object's":[58],"global":[59],"context":[60],"its":[62],"intricate":[63],"transitions.":[65],"Evaluations":[66],"across":[67,101],"CAMO,":[69],"COD10K,":[70],"NC4K":[72],"benchmarks":[73],"show":[74],"surpasses":[77],"baseline,":[79],"delivering":[80],"sharper":[81,118],"delineation":[82],"thin":[84],"structures":[85],"protrusions":[87],"while":[88],"also":[89],"minimizing":[90],"false":[91],"positives.":[92],"Also,":[93],"our":[94],"consistently":[96],"outperforms":[97],"existing":[98],"state-of-the-art":[99],"methods":[100],"all":[102],"evaluated":[103],"metrics,":[104],"including":[105],"$S_m$,":[106],"$F_\u03b2^{w}$,":[107],"$E_m$,":[108],"$MAE$,":[110],"demonstrating":[111],"more":[113],"precise":[114],"object-background":[115],"separation":[116],"recovery.":[120]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-18T00:00:00"}
