{"id":"https://openalex.org/W4402979807","doi":"https://doi.org/10.1109/icme57554.2024.10688116","title":"Lightweight Camouflaged Object Detection Network Based on Feature Complementation and Enhancement","display_name":"Lightweight Camouflaged Object Detection Network Based on Feature Complementation and Enhancement","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979807","doi":"https://doi.org/10.1109/icme57554.2024.10688116"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688116","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10688116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-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/A5077210450","display_name":"Kangwei Liu","orcid":"https://orcid.org/0009-0006-2807-6199"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kangwei Liu","raw_affiliation_strings":["School of Computer Science and Technology,Urumgi,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology,Urumgi,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663885","display_name":"Xiuhong Li","orcid":"https://orcid.org/0000-0002-5327-0907"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiuhong Li","raw_affiliation_strings":["School of Computer Science and Technology,Urumgi,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology,Urumgi,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108029779","display_name":"Boyuan Li","orcid":"https://orcid.org/0009-0001-2402-060X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boyuan Li","raw_affiliation_strings":["School of Computer Science and Technology,Urumgi,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology,Urumgi,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112138769","display_name":"Yuye Zhang","orcid":"https://orcid.org/0000-0003-1213-5079"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuye Zhang","raw_affiliation_strings":["School of Computer Science and Technology,Urumgi,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology,Urumgi,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008461757","display_name":"Chao Che","orcid":"https://orcid.org/0000-0003-2978-5430"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Che","raw_affiliation_strings":["School of Computer Science and Technology,Urumgi,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology,Urumgi,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077210450"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2624,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54274861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9965999722480774,"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":0.9965999722480774,"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":0.9836000204086304,"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":0.9592999815940857,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6496354937553406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6249339580535889},{"id":"https://openalex.org/keywords/complementation","display_name":"Complementation","score":0.6231926083564758},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4786909222602844},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4678533673286438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4187335968017578},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40883976221084595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3496337831020355},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.12438315153121948}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6496354937553406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6249339580535889},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.6231926083564758},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4786909222602844},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4678533673286438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4187335968017578},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40883976221084595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3496337831020355},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.12438315153121948},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10688116","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10688116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":25,"referenced_works":["https://openalex.org/W1968773971","https://openalex.org/W1982075130","https://openalex.org/W1994922096","https://openalex.org/W2169472265","https://openalex.org/W2943545929","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W2998449272","https://openalex.org/W3034684132","https://openalex.org/W3092344722","https://openalex.org/W3164098653","https://openalex.org/W3168112135","https://openalex.org/W3173782971","https://openalex.org/W3176152216","https://openalex.org/W3179443972","https://openalex.org/W3190335749","https://openalex.org/W3203700770","https://openalex.org/W4213436958","https://openalex.org/W4285310685","https://openalex.org/W4289752563","https://openalex.org/W4308180443","https://openalex.org/W4313535374","https://openalex.org/W4381716707","https://openalex.org/W4383988917","https://openalex.org/W4386172550"],"related_works":["https://openalex.org/W1518010816","https://openalex.org/W1976496938","https://openalex.org/W2189178478","https://openalex.org/W2154338693","https://openalex.org/W1587647201","https://openalex.org/W1988188960","https://openalex.org/W1500684591","https://openalex.org/W4386159726","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Recently,":[0],"CNN-based":[1],"camouflaged":[2],"object":[3,93,124],"detection":[4,10,148],"methods":[5,25],"are":[6],"dedicated":[7],"to":[8,76,90,98,119],"improving":[9],"performance,":[11],"thereby":[12],"ignoring":[13],"the":[14,27,30,45,64,78,87,92,95,106,113,121,129],"huge":[15],"amount":[16],"of":[17,29,33,123],"parameters":[18],"and":[19,36,59,70,81,94,112,127,132],"computations":[20],"it":[21],"brings.":[22],"And,":[23],"current":[24],"ignore":[26],"importance":[28],"internal":[31],"consistency":[32],"deep":[34,79,131],"features":[35,38,80],"shallow":[37,82,133],"for":[39],"generating":[40],"discriminative":[41],"features.":[42,134],"To":[43],"solve":[44],"above":[46],"problems,":[47],"we":[48,62,104],"propose":[49],"a":[50,151],"novel":[51],"lightweight":[52],"network":[53],"(FCENet)":[54],"based":[55],"on":[56],"feature":[57,114],"complementation":[58],"enhancement.":[60],"Firstly,":[61],"design":[63,105],"Deep":[65],"Feature":[66,72],"Complementation":[67],"(DFC)":[68],"module":[69,75,89,97,111,118],"Shallow":[71],"Enhancement":[73],"(SFE)":[74],"process":[77],"features,":[83],"respectively.":[84],"We":[85],"utilize":[86],"DFC":[88],"locate":[91],"SFE":[96],"provide":[99],"more":[100],"detailed":[101],"information.":[102],"Secondly,":[103],"boundary":[107],"area":[108],"enhancement":[109],"(BAE)":[110],"fusion":[115],"refinement":[116],"(FFR)":[117],"strengthen":[120],"learning":[122],"boundaries,":[125],"fuse":[126],"refine":[128],"enhanced":[130],"Extensive":[135],"experiments":[136],"show":[137],"that":[138],"compared":[139],"with":[140],"existing":[141],"cutting-edge":[142],"baselines,":[143],"our":[144],"method":[145],"achieves":[146],"excellent":[147],"performance":[149],"at":[150],"very":[152],"low":[153],"cost":[154],"(4.67M":[155],"Parameters,":[156],"1.71G":[157],"FLOPs).":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
