{"id":"https://openalex.org/W3009329032","doi":"https://doi.org/10.1109/icsai48974.2019.9010503","title":"A Residual Network of Water Scene Recognition Based on Optimized Inception Module and Convolutional Block Attention Module","display_name":"A Residual Network of Water Scene Recognition Based on Optimized Inception Module and Convolutional Block Attention Module","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3009329032","doi":"https://doi.org/10.1109/icsai48974.2019.9010503","mag":"3009329032"},"language":"en","primary_location":{"id":"doi:10.1109/icsai48974.2019.9010503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","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/A5073662415","display_name":"Xie Lianming","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lianming Xie","raw_affiliation_strings":["School of Information Engineering, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028686941","display_name":"Chaobing Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaobing Huang","raw_affiliation_strings":["School of Information Engineering, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073662415"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.3353,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.59941274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1174","last_page":"1178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9933000206947327,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.991100013256073,"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/residual","display_name":"Residual","score":0.8550847172737122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.778451681137085},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7778462767601013},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7756942510604858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6358433961868286},{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.5813351273536682},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5639073252677917},{"id":"https://openalex.org/keywords/block-structure","display_name":"Block structure","score":0.5015692710876465},{"id":"https://openalex.org/keywords/network-structure","display_name":"Network structure","score":0.4514729380607605},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4162767827510834},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34328174591064453},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2693120837211609},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17059865593910217},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09623008966445923},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.05619463324546814}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8550847172737122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.778451681137085},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7778462767601013},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7756942510604858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6358433961868286},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.5813351273536682},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5639073252677917},{"id":"https://openalex.org/C2983050975","wikidata":"https://www.wikidata.org/wiki/Q88287214","display_name":"Block structure","level":3,"score":0.5015692710876465},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.4514729380607605},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4162767827510834},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34328174591064453},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2693120837211609},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17059865593910217},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09623008966445923},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.05619463324546814},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai48974.2019.9010503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1928906481","https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2345644119","https://openalex.org/W2460852148","https://openalex.org/W2549139847","https://openalex.org/W2752782242","https://openalex.org/W2962858109","https://openalex.org/W2963495494","https://openalex.org/W2964350391","https://openalex.org/W3124951096","https://openalex.org/W6618372016","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6640376812","https://openalex.org/W6684191040","https://openalex.org/W6694260854"],"related_works":["https://openalex.org/W3018282762","https://openalex.org/W2558055997","https://openalex.org/W2791183434","https://openalex.org/W2353369313","https://openalex.org/W4400794747","https://openalex.org/W4250645680","https://openalex.org/W3042787951","https://openalex.org/W2897517148","https://openalex.org/W4319866006","https://openalex.org/W2369619459"],"abstract_inverted_index":{"Currently":[0],"widely":[1],"used":[2,26],"Convolutional":[3,47],"Neural":[4],"Net-":[5],"works(CNNs)":[6],"are":[7],"based":[8,41],"on":[9,42],"super":[10],"large":[11],"data":[12],"sets,":[13],"which":[14],"have":[15],"huge":[16],"and":[17,21,46,75],"complex":[18],"network":[19,40,79],"structure":[20,62,69],"can":[22,63,105],"not":[23],"be":[24],"directly":[25],"in":[27,53],"water":[28,36,111],"scene":[29,112],"recognition.":[30,113],"For":[31],"the":[32,35,67,78,82,86,93,103,108],"characteristics":[33],"of":[34,85,110],"scene,":[37],"a":[38],"residual":[39,68],"optimized":[43,57],"Inception":[44,58],"module":[45,59],"Block":[48],"Attention":[49],"Module(CBAM)":[50],"is":[51,70],"proposed":[52],"this":[54],"paper.":[55],"The":[56,98],"with":[60,89],"parallel":[61],"extract":[64],"multi-scale":[65],"features,":[66],"suitable":[71],"for":[72],"deeper":[73],"networks,":[74],"CBAM":[76],"enables":[77],"to":[80],"notice":[81],"informative":[83],"parts":[84],"images.":[87],"Compared":[88],"some":[90],"classical":[91],"CNNs,":[92],"method":[94,104],"has":[95],"less":[96],"parameters.":[97],"experimental":[99],"results":[100],"show":[101],"that":[102],"effectively":[106],"improve":[107],"accuracy":[109]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}