{"id":"https://openalex.org/W4400811350","doi":"https://doi.org/10.1109/isie54533.2024.10595760","title":"A Lightweight Attention Network for Camouflaged Object Fixation Prediction","display_name":"A Lightweight Attention Network for Camouflaged Object Fixation Prediction","publication_year":2024,"publication_date":"2024-06-18","ids":{"openalex":"https://openalex.org/W4400811350","doi":"https://doi.org/10.1109/isie54533.2024.10595760"},"language":"en","primary_location":{"id":"doi:10.1109/isie54533.2024.10595760","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isie54533.2024.10595760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE)","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/A5075737786","display_name":"Qingbo Wu","orcid":"https://orcid.org/0000-0003-2936-6340"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingbo Wu","raw_affiliation_strings":["Tianjin University of Technology,Key Laboratory of Computer Vision and Systems (Ministry of Education),Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University of Technology,Key Laboratory of Computer Vision and Systems (Ministry of Education),Tianjin,China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111262400","display_name":"Guanxing Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanxing Wu","raw_affiliation_strings":["Tianjin University of Technology,Key Laboratory of Computer Vision and Systems (Ministry of Education),Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University of Technology,Key Laboratory of Computer Vision and Systems (Ministry of Education),Tianjin,China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055627037","display_name":"Shengyong Chen","orcid":"https://orcid.org/0000-0002-6705-3831"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyong Chen","raw_affiliation_strings":["Tianjin University of Technology,Key Laboratory of Computer Vision and Systems (Ministry of Education),Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University of Technology,Key Laboratory of Computer Vision and Systems (Ministry of Education),Tianjin,China","institution_ids":["https://openalex.org/I136765683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I136765683"],"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9969000220298767,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.989300012588501,"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":0.7075499296188354},{"id":"https://openalex.org/keywords/fixation","display_name":"Fixation (population genetics)","score":0.5453528761863708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4961009919643402},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3522157073020935},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07683134078979492}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7075499296188354},{"id":"https://openalex.org/C146249460","wikidata":"https://www.wikidata.org/wiki/Q2914991","display_name":"Fixation (population genetics)","level":3,"score":0.5453528761863708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4961009919643402},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3522157073020935},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07683134078979492},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isie54533.2024.10595760","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isie54533.2024.10595760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320317442","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2412782625","https://openalex.org/W2796975587","https://openalex.org/W2945469194","https://openalex.org/W2947918549","https://openalex.org/W2962850830","https://openalex.org/W2963503775","https://openalex.org/W2979442772","https://openalex.org/W2980565715","https://openalex.org/W3022565501","https://openalex.org/W3027763298","https://openalex.org/W3083947974","https://openalex.org/W3102090209","https://openalex.org/W3138516171","https://openalex.org/W3162699354","https://openalex.org/W3164098653","https://openalex.org/W3176152216","https://openalex.org/W4224281996","https://openalex.org/W4322576480","https://openalex.org/W4385346076","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,16,34],"novel":[4],"encoder-decoder":[5],"architecture":[6],"for":[7],"camouflaged":[8],"object":[9],"fixation":[10,51],"prediction":[11],"(COFP),":[12],"which":[13],"builds":[14],"on":[15],"large-kernel":[17,31],"decomposition":[18,32],"technique":[19],"and":[20,47,78,113],"depth-wise":[21,61],"separable":[22,62],"convolution":[23],"embedded":[24],"attention.":[25],"Specifically,":[26],"the":[27,30,40,48,57,69,75,81,90,96,103],"encoder":[28],"with":[29],"adopts":[33],"Visual":[35],"Attention":[36],"Network":[37],"(VAN)":[38],"as":[39,95],"backbone":[41],"to":[42,67],"extract":[43],"more":[44],"accurate":[45],"features,":[46],"decoder":[49],"predicts":[50],"maps":[52],"from":[53],"concealed":[54],"objects":[55],"using":[56,89],"attention":[58],"module":[59],"incorporating":[60],"convolution.":[63],"Both":[64],"designs":[65],"aim":[66],"reduce":[68],"number":[70],"of":[71,83],"learnable":[72],"parameters,":[73],"making":[74],"model":[76],"lighter":[77],"simultaneously":[79],"maintaining":[80],"performance":[82],"COFP.":[84],"In":[85],"addition,":[86],"we":[87],"propose":[88],"reverse":[91],"Kullback-Leibler":[92],"Divergence":[93],"(KLDiv)":[94],"loss":[97],"function.":[98],"Extensive":[99],"experiments":[100],"demonstrate":[101],"that":[102],"proposed":[104],"method":[105],"performs":[106],"well":[107],"against":[108],"SOTA":[109],"approaches":[110],"in":[111],"quality":[112],"quantity.":[114]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
