{"id":"https://openalex.org/W4417073212","doi":"https://doi.org/10.1145/3743093.3770984","title":"APGNet: Adaptive Prior-Guided for Underwater Camouflaged Object Detection","display_name":"APGNet: Adaptive Prior-Guided for Underwater Camouflaged Object Detection","publication_year":2025,"publication_date":"2025-12-06","ids":{"openalex":"https://openalex.org/W4417073212","doi":"https://doi.org/10.1145/3743093.3770984"},"language":null,"primary_location":{"id":"doi:10.1145/3743093.3770984","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3743093.3770984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM International Conference on Multimedia in Asia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101250362","display_name":"Xinxin Huang","orcid":"https://orcid.org/0009-0008-6473-9740"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Huang","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0008-6473-9740","affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004783670","display_name":"Han Sun","orcid":"https://orcid.org/0000-0002-2208-6672"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Sun","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-2208-6672","affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Junmin Cai","orcid":"https://orcid.org/0009-0000-5220-2200"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junmin Cai","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0000-5220-2200","affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067114555","display_name":"Ningzhong Liu","orcid":"https://orcid.org/0000-0002-6735-7130"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningzhong Liu","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6735-7130","affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066119228","display_name":"Huiyu Zhou","orcid":"https://orcid.org/0000-0003-1634-9840"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huiyu Zhou","raw_affiliation_strings":["University of Leicester, Leicester, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-1634-9840","affiliations":[{"raw_affiliation_string":"University of Leicester, Leicester, United Kingdom","institution_ids":["https://openalex.org/I153648349"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.8072999715805054,"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/T11019","display_name":"Image Enhancement Techniques","score":0.8072999715805054,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.12030000239610672,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.007600000128149986,"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/camouflage","display_name":"Camouflage","score":0.7239999771118164},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.7182999849319458},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6575999855995178},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5738999843597412},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.42730000615119934},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42010000348091125},{"id":"https://openalex.org/keywords/image-stitching","display_name":"Image stitching","score":0.39629998803138733},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3919000029563904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36090001463890076},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.3555999994277954}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7797999978065491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7652000188827515},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7324000000953674},{"id":"https://openalex.org/C2776196576","wikidata":"https://www.wikidata.org/wiki/Q196113","display_name":"Camouflage","level":2,"score":0.7239999771118164},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7182999849319458},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6575999855995178},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5738999843597412},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.42730000615119934},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42010000348091125},{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.39629998803138733},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3919000029563904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36090001463890076},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3555999994277954},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.35010001063346863},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.34610000252723694},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.34060001373291016},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.31040000915527344},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29739999771118164},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.2870999872684479},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.2736999988555908},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.26809999346733093},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.2540999948978424},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3743093.3770984","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3743093.3770984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM International Conference on Multimedia in Asia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2071114633","https://openalex.org/W2943545929","https://openalex.org/W3025800305","https://openalex.org/W3134992255","https://openalex.org/W3164098653","https://openalex.org/W3168112135","https://openalex.org/W3179443972","https://openalex.org/W3190335749","https://openalex.org/W3203700770","https://openalex.org/W4213181610","https://openalex.org/W4224931296","https://openalex.org/W4312258849","https://openalex.org/W4362602094","https://openalex.org/W4362653528","https://openalex.org/W4386159716","https://openalex.org/W4389253150","https://openalex.org/W4390190100","https://openalex.org/W4394625531","https://openalex.org/W4399880785"],"related_works":[],"abstract_inverted_index":{"Detecting":[0],"camouflaged":[1,51],"objects":[2],"in":[3,47,168,181],"underwater":[4,22,65,74],"environments":[5,66],"is":[6],"crucial":[7],"for":[8,57,73,115,171],"marine":[9,36],"ecological":[10],"research":[11],"and":[12,28,31,101,146,161,174],"resource":[13],"exploration.":[14],"However,":[15],"existing":[16],"methods":[17,55,201],"face":[18],"two":[19,188],"key":[20],"challenges:":[21],"image":[23,39],"degradation,":[24],"including":[25],"low":[26],"contrast":[27],"color":[29],"distortion,":[30],"the":[32,69,107],"natural":[33],"camouflage":[34],"of":[35,71],"organisms.":[37],"Traditional":[38],"enhancement":[40],"techniques":[41],"struggle":[42],"to":[43,62,64,68,98,121,141,178],"restore":[44],"critical":[45],"features":[46,170],"degraded":[48],"images,":[49],"while":[50],"object":[52],"detection":[53,102],"(COD)":[54],"developed":[56],"terrestrial":[58],"scenes":[59],"often":[60],"fail":[61],"adapt":[63],"due":[67],"lack":[70],"consideration":[72],"optical":[75],"characteristics.":[76],"To":[77],"address":[78],"these":[79],"issues,":[80],"we":[81,105,126,151],"propose":[82,152],"APGNet,":[83],"an":[84,128,153],"Adaptive":[85],"Prior-Guided":[86],"Network,":[87],"which":[88],"integrates":[89],"a":[90,94,136],"Siamese":[91],"architecture":[92],"with":[93,110,135],"novel":[95],"prior-guided":[96,155],"mechanism":[97,156],"enhance":[99],"robustness":[100],"accuracy.":[103],"First,":[104],"employ":[106],"Multi-Scale":[108,137],"Retinex":[109],"Color":[111],"Restoration":[112],"(MSRCR)":[113],"algorithm":[114],"data":[116],"augmentation,":[117],"generating":[118],"illumination-invariant":[119],"images":[120],"mitigate":[122],"degradation":[123],"effects.":[124],"Second,":[125],"design":[127],"Extended":[129],"Receptive":[130],"Field":[131],"(ERF)":[132],"module":[133],"combined":[134],"Progressive":[138],"Decoder":[139],"(MPD)":[140],"capture":[142],"multi-scale":[143],"contextual":[144],"information":[145],"refine":[147,179],"feature":[148],"representations.":[149],"Furthermore,":[150],"adaptive":[154],"that":[157,193],"hierarchically":[158],"fuses":[159],"position":[160],"boundary":[162],"priors":[163],"by":[164],"embedding":[165],"spatial":[166],"attention":[167],"high-level":[169],"coarse":[172],"localization":[173],"using":[175],"deformable":[176],"convolution":[177],"contours":[180],"low-level":[182],"features.":[183],"Extensive":[184],"experimental":[185],"results":[186],"on":[187],"public":[189],"MAS":[190],"datasets":[191],"demonstrate":[192],"our":[194],"proposed":[195],"method":[196],"APGNet":[197],"outperforms":[198],"15":[199],"state-of-art":[200],"under":[202],"widely":[203],"used":[204],"evaluation":[205],"metrics.":[206]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-12-06T00:00:00"}