{"id":"https://openalex.org/W3091565629","doi":"https://doi.org/10.1109/icip40778.2020.9191364","title":"Towards Domain Generalization In Underwater Object Detection","display_name":"Towards Domain Generalization In Underwater Object Detection","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3091565629","doi":"https://doi.org/10.1109/icip40778.2020.9191364","mag":"3091565629"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9191364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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/A5100410326","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0002-7498-6541"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Liu","raw_affiliation_strings":["Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048813179","display_name":"Pinhao Song","orcid":"https://orcid.org/0000-0002-3950-0403"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pinhao Song","raw_affiliation_strings":["Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038044561","display_name":"Runwei Ding","orcid":"https://orcid.org/0000-0003-4987-0405"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runwei Ding","raw_affiliation_strings":["Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100410326"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":4.2201,"has_fulltext":false,"cited_by_count":95,"citation_normalized_percentile":{"value":0.95434123,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1971","last_page":"1975"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9962000250816345,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9962000250816345,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9932000041007996,"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/underwater","display_name":"Underwater","score":0.8403509855270386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7610716223716736},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6941704750061035},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6166653037071228},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5660616159439087},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5482075214385986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5388322472572327},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4777326285839081},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4740545451641083},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.43364885449409485},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4245699644088745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3680638074874878},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3541778326034546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1073724627494812},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.05876442790031433}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.8403509855270386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7610716223716736},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6941704750061035},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6166653037071228},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5660616159439087},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5482075214385986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5388322472572327},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4777326285839081},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4740545451641083},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.43364885449409485},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4245699644088745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3680638074874878},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3541778326034546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1073724627494812},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.05876442790031433},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip40778.2020.9191364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/716596","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/716596","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE International Conference on Image Processing (ICIP), ELECTR NETWORK, 25-28 September 2020","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1882958252","https://openalex.org/W2155195660","https://openalex.org/W2475287302","https://openalex.org/W2612445135","https://openalex.org/W2613718673","https://openalex.org/W2626639386","https://openalex.org/W2765407302","https://openalex.org/W2796347433","https://openalex.org/W2798658180","https://openalex.org/W2902617128","https://openalex.org/W2914663144","https://openalex.org/W2947218904","https://openalex.org/W2953494151","https://openalex.org/W2958360136","https://openalex.org/W2963271314","https://openalex.org/W2963399829","https://openalex.org/W2963826681","https://openalex.org/W2964115968","https://openalex.org/W2981368934","https://openalex.org/W2989045104","https://openalex.org/W2989866772","https://openalex.org/W2992308087","https://openalex.org/W3023926967","https://openalex.org/W3106250896","https://openalex.org/W4288287305","https://openalex.org/W4293584584","https://openalex.org/W4293861706","https://openalex.org/W4297775537","https://openalex.org/W4308831279","https://openalex.org/W6620707391","https://openalex.org/W6639480849","https://openalex.org/W6682891771","https://openalex.org/W6737664043","https://openalex.org/W6739575509","https://openalex.org/W6745136726","https://openalex.org/W6750227808","https://openalex.org/W6756444276","https://openalex.org/W6765285020","https://openalex.org/W6770035820","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4388412763","https://openalex.org/W1999583034","https://openalex.org/W3217214504","https://openalex.org/W3162204513","https://openalex.org/W3168963531","https://openalex.org/W2591930867","https://openalex.org/W2773822314","https://openalex.org/W2953138830","https://openalex.org/W3176162126","https://openalex.org/W4315498985"],"abstract_inverted_index":{"A":[0],"General":[1],"Underwater":[2],"Object":[3],"Detector":[4],"(GUOD)":[5],"should":[6],"perform":[7],"well":[8],"on":[9,98],"most":[10],"of":[11,42,60,84,113],"underwater":[12,17,37,117],"circumstances.":[13],"However,":[14],"with":[15,39,108],"limited":[16,40],"dataset,":[18],"conventional":[19],"object":[20,118],"detection":[21],"methods":[22],"suffer":[23],"from":[24,71],"domain":[25,58,114],"shift":[26],"severely.":[27],"This":[28],"paper":[29],"aims":[30],"to":[31,56],"build":[32],"a":[33,48],"GUOD":[34],"using":[35],"small":[36,63],"dataset":[38,103],"types":[41],"water":[43],"quality.":[44],"First,":[45],"we":[46],"propose":[47],"data":[49,72],"augmentation":[50],"method":[51],"Water":[52],"Quality":[53],"Transfer":[54],"(WQT)":[55],"increase":[57],"diversity":[59],"the":[61,68],"original":[62,99],"dataset.":[64],"Second,":[65],"for":[66],"mining":[67],"semantic":[69],"information":[70],"generated":[73],"by":[74],"WQT,":[75],"Domain":[76,88],"Generalization":[77],"YOLO":[78],"(DG-YOLO)":[79],"is":[80],"proposed,":[81],"which":[82],"consists":[83],"three":[85],"parts:":[86],"YOLOv3,":[87],"Invariant":[89,92],"Module":[90],"and":[91,100],"Risk":[93],"Minimization":[94],"penalty.":[95],"Finally,":[96],"experiments":[97],"synthetic":[101],"URPC2019":[102],"prove":[104],"that":[105],"WQT":[106],"combined":[107],"DG-YOLO":[109],"achieves":[110],"promising":[111],"performance":[112],"generalization":[115],"in":[116],"detection.":[119],"The":[120],"source":[121],"code":[122],"can":[123],"be":[124],"found":[125],"at":[126],"https://github.com/mousecpn/DG-YOLO.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":30},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}