{"id":"https://openalex.org/W4390422232","doi":"https://doi.org/10.1109/lsp.2023.3348390","title":"Efficient Camouflaged Object Detection via Progressive Refinement Network","display_name":"Efficient Camouflaged Object Detection via Progressive Refinement Network","publication_year":2023,"publication_date":"2023-12-29","ids":{"openalex":"https://openalex.org/W4390422232","doi":"https://doi.org/10.1109/lsp.2023.3348390"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3348390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3348390","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/A5065180796","display_name":"Dongdong Zhang","orcid":"https://orcid.org/0000-0003-3817-5706"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongdong Zhang","raw_affiliation_strings":["Shijiazhuang Campus, Army Engineering University of PLA, Shijiazhaung, China"],"raw_orcid":"https://orcid.org/0000-0003-3817-5706","affiliations":[{"raw_affiliation_string":"Shijiazhuang Campus, Army Engineering University of PLA, Shijiazhaung, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038718363","display_name":"Chunping Wang","orcid":"https://orcid.org/0000-0002-3841-1919"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunping Wang","raw_affiliation_strings":["Shijiazhuang Campus, Army Engineering University of PLA, Shijiazhaung, China"],"raw_orcid":"https://orcid.org/0000-0002-3841-1919","affiliations":[{"raw_affiliation_string":"Shijiazhuang Campus, Army Engineering University of PLA, Shijiazhaung, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074285975","display_name":"Qiang Fu","orcid":"https://orcid.org/0000-0002-3831-9856"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Fu","raw_affiliation_strings":["Shijiazhuang Campus, Army Engineering University of PLA, Shijiazhaung, China"],"raw_orcid":"https://orcid.org/0000-0002-3831-9856","affiliations":[{"raw_affiliation_string":"Shijiazhuang Campus, Army Engineering University of PLA, Shijiazhaung, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":null,"apc_paid":null,"fwci":1.5954,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.8611384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"231","last_page":"235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9955999851226807,"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":0.9955999851226807,"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":0.9358000159263611,"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/T10997","display_name":"Ocular Surface and Contact Lens","score":0.9164999723434448,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7878057360649109},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7084091901779175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6819276809692383},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6331865787506104},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5920024514198303},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5758745074272156},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5656439065933228},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5651904344558716},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.550987958908081},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4949881434440613},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.49217453598976135},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.44415411353111267},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4147909879684448},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2741905748844147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10159742832183838}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7878057360649109},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7084091901779175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6819276809692383},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6331865787506104},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5920024514198303},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5758745074272156},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5656439065933228},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5651904344558716},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.550987958908081},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4949881434440613},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.49217453598976135},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.44415411353111267},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4147909879684448},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2741905748844147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10159742832183838},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2023.3348390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3348390","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":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W3164098653","https://openalex.org/W3168112135","https://openalex.org/W3173782971","https://openalex.org/W3176152216","https://openalex.org/W3179443972","https://openalex.org/W3203700770","https://openalex.org/W3210073375","https://openalex.org/W4225257078","https://openalex.org/W4283813802","https://openalex.org/W4285310685","https://openalex.org/W4285601297","https://openalex.org/W4308180443","https://openalex.org/W4312258849","https://openalex.org/W4312806903","https://openalex.org/W6797318503"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W4287991909","https://openalex.org/W4390721878","https://openalex.org/W2894651257","https://openalex.org/W3200590620","https://openalex.org/W4200172193","https://openalex.org/W4303926741"],"abstract_inverted_index":{"Camouflaged":[0],"object":[1],"detection":[2],"(COD)":[3],"aims":[4],"to":[5,71,92,126],"identify":[6,127],"objects":[7,33,78,101,129],"that":[8,42,142],"are":[9],"perfectly":[10],"concealed":[11],"in":[12,20,109],"their":[13],"surroundings":[14],"and":[15,34,97,131,156],"has":[16],"attracted":[17],"increasing":[18],"attention":[19],"recent":[21],"years.":[22],"The":[23],"challenge":[24],"with":[25,81],"COD":[26,149],"is":[27,56,90,124,146],"the":[28,39,74,95,115,118,143],"intrinsic":[29],"similarity":[30],"between":[31],"camouflaged":[32,45,63,77,100,128],"background,":[35],"as":[36,38,106],"well":[37],"weak":[40],"boundary":[41],"often":[43],"accompanies":[44],"objects.":[46],"In":[47],"this":[48],"paper,":[49],"a":[50,68,107,159],"Progressive":[51],"Refinement":[52],"Network":[53],"called":[54],"PRNet":[55,123,145],"proposed":[57,144],"based":[58],"on":[59,135],"human":[60],"perception":[61],"of":[62,76,99,117],"images.":[64],"Specifically,":[65],"we":[66],"develop":[67],"position-aware":[69],"module":[70,89],"roughly":[72],"locate":[73],"position":[75],"by":[79,102],"reverse-guiding":[80],"high-level":[82],"semantic":[83],"information.":[84],"Moreover,":[85],"an":[86,147],"edge-guided":[87],"fusion":[88],"designed":[91],"simultaneously":[93],"refine":[94],"boundaries":[96],"regions":[98],"using":[103],"edge":[104],"features":[105],"guide":[108],"cross-level":[110],"feature":[111],"fusion.":[112],"Benefited":[113],"from":[114],"utility":[116],"above":[119],"two":[120],"modules,":[121],"our":[122],"able":[125],"accurately":[130],"quickly.":[132],"Numerous":[133],"experiments":[134],"four":[136],"widely":[137],"used":[138],"benchmark":[139],"datasets":[140],"demonstrate":[141],"efficient":[148],"model,":[150],"outperforming":[151],"14":[152],"state-of-the-art":[153],"algorithms":[154],"significantly":[155],"running":[157],"at":[158],"real-time":[160]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}