{"id":"https://openalex.org/W4390482241","doi":"https://doi.org/10.1109/cis-ram55796.2023.10370963","title":"A Dataset for Object Detection in Night Rainy Scenes","display_name":"A Dataset for Object Detection in Night Rainy Scenes","publication_year":2023,"publication_date":"2023-06-09","ids":{"openalex":"https://openalex.org/W4390482241","doi":"https://doi.org/10.1109/cis-ram55796.2023.10370963"},"language":"en","primary_location":{"id":"doi:10.1109/cis-ram55796.2023.10370963","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cis-ram55796.2023.10370963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)","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/A5101851828","display_name":"Haoyuan Zhang","orcid":"https://orcid.org/0000-0002-0629-9096"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haoyuan Zhang","raw_affiliation_strings":["Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113086021","display_name":"Tingtao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tingtao Liu","raw_affiliation_strings":["Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773430","display_name":"Zhenyu Wu","orcid":"https://orcid.org/0000-0002-9094-4982"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhenyu Wu","raw_affiliation_strings":["Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083472752","display_name":"Danwei Wang","orcid":"https://orcid.org/0000-0001-9669-4622"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Danwei Wang","raw_affiliation_strings":["Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.1214,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48031683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9993000030517578,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7324049472808838},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5962494611740112},{"id":"https://openalex.org/keywords/rain-gauge","display_name":"Rain gauge","score":0.5407838821411133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.523540735244751},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4791780710220337},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4640774726867676},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45787307620048523},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41664227843284607},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40100911259651184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3261582553386688},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.09931057691574097},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06612041592597961}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7324049472808838},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5962494611740112},{"id":"https://openalex.org/C120961793","wikidata":"https://www.wikidata.org/wiki/Q190052","display_name":"Rain gauge","level":3,"score":0.5407838821411133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.523540735244751},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4791780710220337},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4640774726867676},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45787307620048523},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41664227843284607},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40100911259651184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3261582553386688},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09931057691574097},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06612041592597961},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cis-ram55796.2023.10370963","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cis-ram55796.2023.10370963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4099999964237213,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W806756867","https://openalex.org/W1861492603","https://openalex.org/W2037227137","https://openalex.org/W2046875449","https://openalex.org/W2141364309","https://openalex.org/W2150721269","https://openalex.org/W2901043294","https://openalex.org/W2982363097","https://openalex.org/W2983943451","https://openalex.org/W2989924675","https://openalex.org/W2998545307","https://openalex.org/W3005226210","https://openalex.org/W3013541621","https://openalex.org/W3026432413","https://openalex.org/W3028045870","https://openalex.org/W3120486993","https://openalex.org/W3158248812","https://openalex.org/W3170563952","https://openalex.org/W3198656281","https://openalex.org/W3210991238","https://openalex.org/W4231491379","https://openalex.org/W4292793990","https://openalex.org/W4312725970","https://openalex.org/W4386076325"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2012531322","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W4254103348","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Object":[0],"detection":[1,14,184],"is":[2,99],"a":[3,87,92,95,118],"fundamental":[4],"task":[5],"in":[6,47,86,107],"computer":[7],"vision.":[8],"As":[9,72],"the":[10,29,40,43,54,68,75,103,108,114,123,127,131,136,159,175,178,182,188,208,211],"datasets":[11,31,52],"for":[12,94,194],"object":[13],"are":[15,20,32,63,81,203],"constructed,":[16],"deep":[17,104],"learning":[18,105],"approaches":[19],"leveraged":[21],"to":[22,65,101,121,130,142,210],"show":[23,174],"promising":[24],"results.":[25],"However,":[26],"most":[27],"of":[28,42,177],"existing":[30],"aimed":[33],"at":[34],"normal":[35,48],"weather":[36],"scenarios,":[37],"which":[38],"limits":[39],"use":[41,181],"trained":[44,140,186],"neural":[45],"networks":[46,137,209],"conditions.":[49],"Recently,":[50],"some":[51],"cover":[53],"night":[55,69,76,96],"samples":[56,59,62],"or":[57],"rainy":[58,70,79,97],"though,":[60],"rare":[61],"utilized":[64],"focus":[66],"on":[67,187],"scenarios.":[71],"we":[73,112,180],"evaluate,":[74],"effects":[77,80],"and":[78,170,191,205],"not":[82],"decoupled.":[83],"They":[84],"result":[85],"more":[88,150],"complicated":[89],"problem,":[90],"thus":[91],"need":[93],"dataset":[98,128,148,160,190,193,202],"raised":[100],"boost":[102],"tools":[106],"data":[109],"aspect.":[110],"Besides,":[111],"collect":[113],"rainfall":[115,144],"rate":[116],"with":[117,154],"rain":[119,124,132],"gauge":[120],"measure":[122],"intensity,":[125],"splitting":[126],"according":[129,141],"intensity":[133],"so":[134],"that":[135,200],"can":[138],"be":[139],"different":[143],"rates.":[145],"Our":[146],"whole":[147],"contains":[149,161],"than":[151],"3000":[152],"samples,":[153],"4865":[155],"objects":[156],"labeled.":[157],"Specifically,":[158],"5":[162],"classes":[163],"labeled":[164],"as":[165],"pedestrian,":[166],"car,":[167],"bus,":[168],"truck,":[169],"motor":[171],"cyclist.":[172],"To":[173],"effectiveness":[176],"dataset,":[179],"latest":[183],"algorithm":[185],"open":[189],"our":[192,201],"comparison.":[195],"The":[196],"significant":[197],"improvement":[198],"reveals":[199],"unique":[204],"strongly":[206],"pushes":[207],"practical":[212],"useful":[213],"end.":[214]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}