{"id":"https://openalex.org/W4393972925","doi":"https://doi.org/10.1109/tci.2024.3380363","title":"Computational Imaging for Machine Perception: Transferring Semantic Segmentation Beyond Aberrations","display_name":"Computational Imaging for Machine Perception: Transferring Semantic Segmentation Beyond Aberrations","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393972925","doi":"https://doi.org/10.1109/tci.2024.3380363"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2024.3380363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2024.3380363","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Imaging","raw_type":"journal-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":null,"display_name":"Qi Jiang","orcid":"https://orcid.org/0000-0002-7484-3030"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Jiang","raw_affiliation_strings":["State Key Laboratory of Extreme Photonics and Instrumentation and the National Engineering Research Center of Optical Instrumentation, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7484-3030","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Extreme Photonics and Instrumentation and the National Engineering Research Center of Optical Instrumentation, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100627106","display_name":"Hao Shi","orcid":"https://orcid.org/0000-0003-0184-2245"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Shi","raw_affiliation_strings":["State Key Laboratory of Extreme Photonics and Instrumentation and the National Engineering Research Center of Optical Instrumentation, Zhejiang University, Hangzhou, China","Shanghai SUPREMIND Technology Company Ltd., Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0184-2245","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Extreme Photonics and Instrumentation and the National Engineering Research Center of Optical Instrumentation, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Shanghai SUPREMIND Technology Company Ltd., Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078208942","display_name":"Shaohua Gao","orcid":"https://orcid.org/0000-0003-3917-289X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Gao","raw_affiliation_strings":["State Key Laboratory of Extreme Photonics and Instrumentation and the National Engineering Research Center of Optical Instrumentation, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3917-289X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Extreme Photonics and Instrumentation and the National Engineering Research Center of Optical Instrumentation, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000376041","display_name":"Jiaming Zhang","orcid":"https://orcid.org/0000-0003-3471-328X"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jiaming Zhang","raw_affiliation_strings":["Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0000-0003-3471-328X","affiliations":[{"raw_affiliation_string":"Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027010844","display_name":"Kailun Yang","orcid":"https://orcid.org/0000-0002-1090-667X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kailun Yang","raw_affiliation_strings":["School of Robotics and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-1090-667X","affiliations":[{"raw_affiliation_string":"School of Robotics and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045637290","display_name":"Lei Sun","orcid":"https://orcid.org/0000-0001-7310-5565"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Sun","raw_affiliation_strings":["State Key Laboratory of Extreme Photonics and Instrumentation and the National Engineering Research Center of Optical Instrumentation, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7310-5565","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Extreme Photonics and Instrumentation and the National Engineering Research Center of Optical Instrumentation, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078498602","display_name":"Huajian Ni","orcid":"https://orcid.org/0009-0002-2468-6169"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huajian Ni","raw_affiliation_strings":["Shanghai SUPREMIND Technology Company Ltd., Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0002-2468-6169","affiliations":[{"raw_affiliation_string":"Shanghai SUPREMIND Technology Company Ltd., Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018263416","display_name":"Kaiwei Wang","orcid":"https://orcid.org/0000-0002-8272-3119"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiwei Wang","raw_affiliation_strings":["State Key Laboratory of Extreme Photonics and Instrumentation and the National Engineering Research Center of Optical Instrumentation, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8272-3119","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Extreme Photonics and Instrumentation and the National Engineering Research Center of Optical Instrumentation, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0936,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77237406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"535","last_page":"548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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":0.9987999796867371,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.6895157098770142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6460939049720764},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6454578042030334},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6383387446403503},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5703247785568237},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4983818531036377},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4337027072906494},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2839060425758362},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10319271683692932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6895157098770142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6460939049720764},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6454578042030334},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6383387446403503},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5703247785568237},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4983818531036377},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4337027072906494},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2839060425758362},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10319271683692932},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2024.3380363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2024.3380363","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5732702963","display_name":null,"funder_award_id":"12174341","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":89,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1988576417","https://openalex.org/W2051622429","https://openalex.org/W2111098473","https://openalex.org/W2340897893","https://openalex.org/W2474071559","https://openalex.org/W2560023338","https://openalex.org/W2588727760","https://openalex.org/W2739757502","https://openalex.org/W2739759330","https://openalex.org/W2748021867","https://openalex.org/W2787091153","https://openalex.org/W2884822772","https://openalex.org/W2894903065","https://openalex.org/W2897373036","https://openalex.org/W2913508739","https://openalex.org/W2932414082","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2963200935","https://openalex.org/W2964231206","https://openalex.org/W2967767914","https://openalex.org/W2969893028","https://openalex.org/W2970048031","https://openalex.org/W2970213471","https://openalex.org/W2972285644","https://openalex.org/W2981624307","https://openalex.org/W2983219806","https://openalex.org/W2985321619","https://openalex.org/W2985406498","https://openalex.org/W3017333289","https://openalex.org/W3034417116","https://openalex.org/W3035028692","https://openalex.org/W3035294798","https://openalex.org/W3039851938","https://openalex.org/W3040032943","https://openalex.org/W3093088410","https://openalex.org/W3096831136","https://openalex.org/W3101281919","https://openalex.org/W3102977943","https://openalex.org/W3106297436","https://openalex.org/W3108281323","https://openalex.org/W3110486195","https://openalex.org/W3112454989","https://openalex.org/W3119635706","https://openalex.org/W3120804725","https://openalex.org/W3121281282","https://openalex.org/W3159182652","https://openalex.org/W3170841864","https://openalex.org/W3175294391","https://openalex.org/W3175308890","https://openalex.org/W3177192381","https://openalex.org/W3194816901","https://openalex.org/W3203348459","https://openalex.org/W3203597819","https://openalex.org/W3204952166","https://openalex.org/W3207649350","https://openalex.org/W3208070661","https://openalex.org/W3217147624","https://openalex.org/W4210590164","https://openalex.org/W4214613230","https://openalex.org/W4221139057","https://openalex.org/W4225649887","https://openalex.org/W4225672218","https://openalex.org/W4226396592","https://openalex.org/W4229444308","https://openalex.org/W4280617287","https://openalex.org/W4288281368","https://openalex.org/W4295788754","https://openalex.org/W4312257162","https://openalex.org/W4312299829","https://openalex.org/W4312768455","https://openalex.org/W4312938066","https://openalex.org/W4317038436","https://openalex.org/W4320150105","https://openalex.org/W4360584634","https://openalex.org/W4383887996","https://openalex.org/W4386076199","https://openalex.org/W4386076436","https://openalex.org/W4389364360","https://openalex.org/W4390189902","https://openalex.org/W4390190345","https://openalex.org/W6733814495","https://openalex.org/W6766313662","https://openalex.org/W6785293073","https://openalex.org/W6789041250","https://openalex.org/W6797399245","https://openalex.org/W6811002592","https://openalex.org/W6842806116"],"related_works":["https://openalex.org/W2628861693","https://openalex.org/W4379231730","https://openalex.org/W3203087560","https://openalex.org/W4389858081","https://openalex.org/W4361279463","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W4232814730","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Semantic":[0,58],"scene":[1],"understanding":[2],"with":[3,64],"Minimalist":[4],"Optical":[5,61],"Systems":[6],"(MOS)":[7],"in":[8,115,138],"mobile":[9],"and":[10,85,93,180],"wearable":[11],"applications":[12,182],"remains":[13],"a":[14],"challenge":[15],"due":[16],"to":[17,107,129,162],"the":[18,33,38,44,55,109,148,175],"corrupted":[19],"imaging":[20,35,179],"quality":[21,36],"induced":[22],"by":[23],"optical":[24,79],"aberrations.":[25,96,154],"However,":[26],"previous":[27],"works":[28],"only":[29],"focus":[30],"on":[31,141,147],"improving":[32],"subjective":[34],"through":[37,78],"Computational":[39],"Imaging":[40,124],"(CI)":[41],"technique,":[42],"ignoring":[43],"feasibility":[45],"of":[46,57,95,111,133,150,159],"advancing":[47],"semantic":[48],"segmentation.":[49],"In":[50,155],"this":[51],"paper,":[52],"we":[53,69,119,144],"pioneer":[54],"investigation":[56],"Segmentation":[59],"under":[60,90,170],"Aberrations":[62],"(SSOA)":[63],"MOS.":[65,184],"To":[66],"benchmark":[67],"SSOA,":[68],"construct":[70],"<italic":[71,82,86,121],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[72,83,87,122],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Virtual":[73],"Prototype":[74],"Lens":[75],"(VPL)</i>":[76],"groups":[77],"simulation,":[80],"generating":[81],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Cityscapes-ab</i>":[84],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">KITTI-360-ab</i>":[88],"datasets":[89],"different":[91],"behaviors":[92],"levels":[94],"We":[97],"look":[98],"into":[99],"SSOA":[100,163],"via":[101],"an":[102],"unsupervised":[103],"domain":[104],"adaptation":[105],"perspective":[106],"address":[108],"scarcity":[110],"labeled":[112],"aberration":[113,172],"data":[114],"real-world":[116],"scenarios.":[117],"Further,":[118],"propose":[120],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Computational":[123],"Assisted":[125],"Domain":[126],"Adaptation":[127],"(CIADA)</i>":[128],"leverage":[130],"prior":[131],"knowledge":[132],"CI":[134],"for":[135,183],"robust":[136],"performance":[137,169],"SSOA.":[139],"Based":[140],"our":[142],"benchmark,":[143],"conduct":[145],"experiments":[146],"robustness":[149],"classical":[151],"segmenters":[152],"against":[153],"addition,":[156],"extensive":[157],"evaluations":[158],"possible":[160],"solutions":[161],"reveal":[164],"that":[165],"CIADA":[166],"achieves":[167],"superior":[168],"all":[171],"distributions,":[173],"bridging":[174],"gap":[176],"between":[177],"computational":[178],"downstream":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}