{"id":"https://openalex.org/W4308236031","doi":"https://doi.org/10.1109/icip46576.2022.9897270","title":"Maanu-Net: Multi-Level Attention and Atrous Pyramid Nested U-Net for Wrecked Objects Segmentation in Forward-Looking Sonar Images","display_name":"Maanu-Net: Multi-Level Attention and Atrous Pyramid Nested U-Net for Wrecked Objects Segmentation in Forward-Looking Sonar Images","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308236031","doi":"https://doi.org/10.1109/icip46576.2022.9897270"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897270","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5079683561","display_name":"Yingshuo Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingshuo Liang","raw_affiliation_strings":["Nankai University,College of Artificial Intelligence","College of Artificial Intelligence, Nankai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University,College of Artificial Intelligence","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112842366","display_name":"Xingyu Zhu","orcid":"https://orcid.org/0000-0002-0300-4782"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Zhu","raw_affiliation_strings":["Nankai University,College of Artificial Intelligence","College of Artificial Intelligence, Nankai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University,College of Artificial Intelligence","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040922631","display_name":"Jianlei Zhang","orcid":"https://orcid.org/0000-0002-9932-9265"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianlei Zhang","raw_affiliation_strings":["Nankai University,College of Artificial Intelligence","College of Artificial Intelligence, Nankai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University,College of Artificial Intelligence","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":10.7557,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.98447894,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"736","last_page":"740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9907000064849854,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7658711671829224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7600365281105042},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7493135333061218},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7248029112815857},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.573124349117279},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5468361973762512},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5132725238800049},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5009639263153076},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.4808386266231537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4782599210739136},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.457821249961853},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4552047550678253},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4275325536727905},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2722882628440857},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12891381978988647},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.1066022515296936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10591506958007812},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09737685322761536},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08312639594078064}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7658711671829224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7600365281105042},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7493135333061218},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7248029112815857},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.573124349117279},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5468361973762512},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5132725238800049},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5009639263153076},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.4808386266231537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4782599210739136},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.457821249961853},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4552047550678253},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4275325536727905},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2722882628440857},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12891381978988647},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.1066022515296936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10591506958007812},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09737685322761536},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08312639594078064},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897270","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1955857676","https://openalex.org/W2048226067","https://openalex.org/W2052257639","https://openalex.org/W2439642248","https://openalex.org/W2560023338","https://openalex.org/W2630837129","https://openalex.org/W2798122215","https://openalex.org/W2962949934","https://openalex.org/W2996290406","https://openalex.org/W3009376633","https://openalex.org/W3015788359","https://openalex.org/W3025800305","https://openalex.org/W3155371711","https://openalex.org/W3195424217","https://openalex.org/W6739696289","https://openalex.org/W6750469568"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W4243305035","https://openalex.org/W3205445068","https://openalex.org/W3134004915","https://openalex.org/W2037375427"],"abstract_inverted_index":{"Forward-looking":[0],"sonars":[1],"(FLS)":[2],"are":[3],"widely":[4],"applied":[5],"in":[6],"the":[7,25,69,99,115,127],"search":[8],"of":[9,32],"underwater":[10],"wrecked":[11],"objects.":[12],"Intelligent":[13],"FLS":[14,33],"images":[15,34],"object":[16],"segmentation":[17,48],"methods":[18],"can":[19,117],"effectively":[20],"assist":[21],"this":[22,41],"task.":[23],"However,":[24],"low":[26],"resolution":[27],"and":[28,58,84,91,121],"complex":[29],"noise":[30,119],"interference":[31,120],"bring":[35],"great":[36],"challenges":[37],"to":[38,72],"segmentation.":[39],"In":[40,76],"paper,":[42],"we":[43,78],"propose":[44],"a":[45,80,103,109],"novel":[46],"semantic":[47],"network":[49],"with":[50,108],"multi-level":[51,56,74],"feature":[52],"fusion":[53],"capability,":[54],"called":[55],"attention":[57,83],"atrous":[59,85],"pyramid":[60,86],"nested":[61,66],"U-Net":[62],"(MAANU-Net).":[63],"We":[64],"use":[65],"U-structure":[67],"as":[68],"main":[70],"framework":[71],"fuse":[73],"features.":[75],"addition,":[77],"integrate":[79],"newly":[81],"de-signed":[82],"(AA)":[87],"module":[88],"between":[89],"encoder":[90],"decoder.":[92],"The":[93],"proposed":[94],"method":[95],"is":[96],"verified":[97],"on":[98],"dataset":[100],"acquired":[101],"by":[102],"remotely":[104],"operated":[105],"vehicle":[106],"equipped":[107],"FLS.":[110],"Experimental":[111],"results":[112],"show":[113],"that":[114],"MAANU-Net":[116],"overcome":[118],"accurately":[122],"segment":[123],"objects,":[124],"which":[125],"outperforms":[126],"other":[128],"state-of-the-art":[129],"methods.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
