{"id":"https://openalex.org/W3188168404","doi":"https://doi.org/10.3390/s21165455","title":"Cascade and Fusion: A Deep Learning Approach for Camouflaged Object Sensing","display_name":"Cascade and Fusion: A Deep Learning Approach for Camouflaged Object Sensing","publication_year":2021,"publication_date":"2021-08-13","ids":{"openalex":"https://openalex.org/W3188168404","doi":"https://doi.org/10.3390/s21165455","mag":"3188168404","pmid":"https://pubmed.ncbi.nlm.nih.gov/34450897"},"language":"en","primary_location":{"id":"doi:10.3390/s21165455","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21165455","pdf_url":"https://www.mdpi.com/1424-8220/21/16/5455/pdf?version=1628834226","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","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/1424-8220/21/16/5455/pdf?version=1628834226","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100608032","display_name":"Kaihong Huang","orcid":"https://orcid.org/0000-0003-3229-5301"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaihong Huang","raw_affiliation_strings":["Department of Computer Science and Engineering, Southeast University, Nanjing 211189, China"],"raw_orcid":"https://orcid.org/0000-0003-3229-5301","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Southeast University, Nanjing 211189, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007104412","display_name":"Chunshu Li","orcid":"https://orcid.org/0000-0002-0705-7304"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunshu Li","raw_affiliation_strings":["Department of Artificial Intelligence, Southeast University, Nanjing 211189, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Southeast University, Nanjing 211189, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349804","display_name":"Jiaqi Zhang","orcid":"https://orcid.org/0000-0002-3714-3414"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaqi Zhang","raw_affiliation_strings":["Department of Computer Science, Brown University, Providence, RI 02860, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brown University, Providence, RI 02860, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009957868","display_name":"Beilun Wang","orcid":"https://orcid.org/0000-0002-2646-1492"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Beilun Wang","raw_affiliation_strings":["Department of Artificial Intelligence, Southeast University, Nanjing 211189, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Southeast University, Nanjing 211189, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009957868"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.2607,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81954487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"16","first_page":"5455","last_page":"5455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9918000102043152,"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":0.9879999756813049,"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":0.7173395752906799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7074017524719238},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5775789022445679},{"id":"https://openalex.org/keywords/camouflage","display_name":"Camouflage","score":0.5734423398971558},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5588628649711609},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.5512607097625732},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49849843978881836},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4983227252960205},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4859679937362671},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.464994341135025},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4567905068397522},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4535059928894043},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4449959993362427},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.43970388174057007},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4286859929561615},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42121002078056335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.31623974442481995},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20790502429008484},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18776658177375793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7173395752906799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7074017524719238},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5775789022445679},{"id":"https://openalex.org/C2776196576","wikidata":"https://www.wikidata.org/wiki/Q196113","display_name":"Camouflage","level":2,"score":0.5734423398971558},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5588628649711609},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.5512607097625732},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49849843978881836},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4983227252960205},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4859679937362671},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.464994341135025},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4567905068397522},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4535059928894043},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4449959993362427},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.43970388174057007},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4286859929561615},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42121002078056335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31623974442481995},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20790502429008484},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18776658177375793},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21165455","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21165455","pdf_url":"https://www.mdpi.com/1424-8220/21/16/5455/pdf?version=1628834226","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:34450897","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34450897","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:0fb4080522de4f96a4840108b9edc227","is_oa":true,"landing_page_url":"https://doaj.org/article/0fb4080522de4f96a4840108b9edc227","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":"Sensors, Vol 21, Iss 16, p 5455 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/16/5455/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21165455","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors; Volume 21; Issue 16; Pages: 5455","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8400738","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8400738","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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21165455","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21165455","pdf_url":"https://www.mdpi.com/1424-8220/21/16/5455/pdf?version=1628834226","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2007483198","display_name":null,"funder_award_id":"93K-9","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3119304389","display_name":null,"funder_award_id":"93K-9","funder_id":"https://openalex.org/F4320335628","funder_display_name":"Key Laboratory of Computer Network and Information Integration"},{"id":"https://openalex.org/G5554206936","display_name":null,"funder_award_id":"93K-9","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G5823314271","display_name":null,"funder_award_id":"2018AAA0100500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7382607216","display_name":null,"funder_award_id":"BM2003201","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G8694145102","display_name":null,"funder_award_id":"BM2003201","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8735051588","display_name":null,"funder_award_id":"BM2003201","funder_id":"https://openalex.org/F4320335628","funder_display_name":"Key Laboratory of Computer Network and Information Integration"}],"funders":[{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320335628","display_name":"Key Laboratory of Computer Network and Information Integration","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3188168404.pdf","grobid_xml":"https://content.openalex.org/works/W3188168404.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1772076007","https://openalex.org/W1994922096","https://openalex.org/W2010181071","https://openalex.org/W2039313011","https://openalex.org/W2047670868","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2117539524","https://openalex.org/W2150587757","https://openalex.org/W2151103935","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2212216676","https://openalex.org/W2339309815","https://openalex.org/W2340897893","https://openalex.org/W2407521645","https://openalex.org/W2560311620","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2618608106","https://openalex.org/W2768556559","https://openalex.org/W2780708736","https://openalex.org/W2798807298","https://openalex.org/W2800623305","https://openalex.org/W2884367402","https://openalex.org/W2898978534","https://openalex.org/W2943545929","https://openalex.org/W2961348656","https://openalex.org/W2962823460","https://openalex.org/W2963073614","https://openalex.org/W2963112696","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963529609","https://openalex.org/W2963604034","https://openalex.org/W2963706010","https://openalex.org/W2963868681","https://openalex.org/W2989907986","https://openalex.org/W2990984982","https://openalex.org/W3034684132","https://openalex.org/W3035422681","https://openalex.org/W3109623941","https://openalex.org/W3115194150","https://openalex.org/W3173782971","https://openalex.org/W3176152216","https://openalex.org/W3179333658","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2978048274","https://openalex.org/W2348329006","https://openalex.org/W2379031960","https://openalex.org/W2376458710","https://openalex.org/W2231217681","https://openalex.org/W2914759737","https://openalex.org/W2984158411","https://openalex.org/W4253283976","https://openalex.org/W3085382568","https://openalex.org/W2891575204"],"abstract_inverted_index":{"The":[0],"demand":[1],"for":[2],"the":[3,20,93,98,103,128],"sensor-based":[4],"detection":[5,25],"of":[6,22,33,78,95,100,105,130],"camouflage":[7],"objects":[8],"widely":[9],"exists":[10],"in":[11,102],"biological":[12],"research,":[13],"remote":[14],"sensing,":[15],"and":[16,53,88,97],"military":[17],"applications.":[18],"However,":[19],"performance":[21],"traditional":[23,80],"object":[24],"algorithms":[26],"is":[27],"limited,":[28],"as":[29],"they":[30],"are":[31],"incapable":[32],"extracting":[34],"informative":[35],"parts":[36],"from":[37],"low":[38],"signal-to-noise":[39],"ratio":[40],"features.":[41],"To":[42],"address":[43],"this":[44],"problem,":[45],"we":[46,109],"propose":[47],"Camouflaged":[48],"Object":[49],"Detection":[50],"with":[51,72,146],"Cascade":[52],"Feedback":[54,73],"Fusion":[55,113],"(CODCEF),":[56],"a":[57,69,79,84],"deep":[58],"learning":[59],"framework":[60],"based":[61],"on":[62,135],"an":[63,131,136],"RGB":[64],"optical":[65],"sensor":[66],"that":[67,125,140],"leverages":[68],"cascaded":[70],"structure":[71],"Partial":[74],"Decoders":[75],"(FPD)":[76],"instead":[77],"encoder-decoder":[81],"structure.":[82],"Through":[83],"selective":[85],"fusion":[86],"strategy":[87],"feedback":[89],"loop,":[90],"FPD":[91],"reduces":[92],"loss":[94],"information":[96],"interference":[99],"noises":[101],"process":[104],"feature":[106],"interweaving.":[107],"Furthermore,":[108],"introduce":[110],"Pixel":[111],"Perception":[112],"(PPF)":[114],"loss,":[115],"which":[116],"aims":[117],"to":[118,122],"pay":[119],"more":[120],"attention":[121],"local":[123],"pixels":[124],"might":[126],"become":[127],"edges":[129],"object.":[132],"Experimental":[133],"results":[134,144],"edge":[137],"device":[138],"show":[139],"CODCEF":[141],"achieved":[142],"competitive":[143],"compared":[145],"10":[147],"state-of-the-art":[148],"methods.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
