{"id":"https://openalex.org/W3209892767","doi":"https://doi.org/10.1109/tits.2021.3123070","title":"Transfer Beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation","display_name":"Transfer Beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation","publication_year":2021,"publication_date":"2021-11-02","ids":{"openalex":"https://openalex.org/W3209892767","doi":"https://doi.org/10.1109/tits.2021.3123070","mag":"3209892767"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2021.3123070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2021.3123070","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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":"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/A5061247490","display_name":"Chaoxiang Ma","orcid":null},"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":"Chaoxiang Ma","raw_affiliation_strings":["Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":null,"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/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":"Kailun Yang","raw_affiliation_strings":["Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1090-667X","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/A5076927137","display_name":"Alina Roitberg","orcid":"https://orcid.org/0000-0003-4724-9164"},"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":"Alina Roitberg","raw_affiliation_strings":["Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0000-0003-4724-9164","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/A5017521271","display_name":"Kunyu Peng","orcid":"https://orcid.org/0000-0002-5419-9292"},"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":"Kunyu Peng","raw_affiliation_strings":["Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5419-9292","affiliations":[{"raw_affiliation_string":"Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087051920","display_name":"Rainer Stiefelhagen","orcid":"https://orcid.org/0000-0001-8046-4945"},"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":"Rainer Stiefelhagen","raw_affiliation_strings":["Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":3.7687,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.94793206,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"23","issue":"7","first_page":"9478","last_page":"9491"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/segmentation","display_name":"Segmentation","score":0.6225713491439819},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6099684834480286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.607334554195404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6065598726272583},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4839175343513489},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.41703498363494873},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4143717885017395},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34571573138237},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18743404746055603},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07585245370864868}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6225713491439819},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6099684834480286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.607334554195404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6065598726272583},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4839175343513489},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.41703498363494873},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4143717885017395},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34571573138237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18743404746055603},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07585245370864868},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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/tits.2021.3123070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2021.3123070","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5}],"awards":[{"id":"https://openalex.org/G8785424733","display_name":null,"funder_award_id":"01KM151112","funder_id":"https://openalex.org/F4320329553","funder_display_name":"Bundesministerium f\u00fcr Arbeit und Soziales"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320329553","display_name":"Bundesministerium f\u00fcr Arbeit und Soziales","ror":"https://ror.org/036e5c451"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2340897893","https://openalex.org/W2560023338","https://openalex.org/W2562192638","https://openalex.org/W2739759330","https://openalex.org/W2741141082","https://openalex.org/W2762439315","https://openalex.org/W2781228439","https://openalex.org/W2782278879","https://openalex.org/W2787091153","https://openalex.org/W2892614179","https://openalex.org/W2894903065","https://openalex.org/W2901870313","https://openalex.org/W2904706552","https://openalex.org/W2910628332","https://openalex.org/W2932414082","https://openalex.org/W2948515602","https://openalex.org/W2955058313","https://openalex.org/W2963073217","https://openalex.org/W2963091558","https://openalex.org/W2963107255","https://openalex.org/W2963350373","https://openalex.org/W2963419596","https://openalex.org/W2964162504","https://openalex.org/W2969893028","https://openalex.org/W2970011264","https://openalex.org/W2970048031","https://openalex.org/W2972887266","https://openalex.org/W2974535857","https://openalex.org/W2974687854","https://openalex.org/W2981624307","https://openalex.org/W2981689412","https://openalex.org/W2981899103","https://openalex.org/W2984128514","https://openalex.org/W2985406498","https://openalex.org/W2989484703","https://openalex.org/W3007868236","https://openalex.org/W3008115128","https://openalex.org/W3035564946","https://openalex.org/W3069056889","https://openalex.org/W3082576756","https://openalex.org/W3088884252","https://openalex.org/W3090843930","https://openalex.org/W3101281919","https://openalex.org/W3101468328","https://openalex.org/W3102343027","https://openalex.org/W3102830438","https://openalex.org/W3102977943","https://openalex.org/W3107634219","https://openalex.org/W3108450508","https://openalex.org/W3110486195","https://openalex.org/W3111513889","https://openalex.org/W3119419912","https://openalex.org/W3119635706","https://openalex.org/W3120800376","https://openalex.org/W3121058064","https://openalex.org/W3131274592","https://openalex.org/W3135227369","https://openalex.org/W3153564771","https://openalex.org/W3159637683","https://openalex.org/W3170279373","https://openalex.org/W3170841864","https://openalex.org/W3174288891","https://openalex.org/W3175042385","https://openalex.org/W3175294391","https://openalex.org/W3175849542","https://openalex.org/W3195309040","https://openalex.org/W3203706456","https://openalex.org/W3208869643","https://openalex.org/W3209314651","https://openalex.org/W3210465770","https://openalex.org/W3210991238","https://openalex.org/W3217258974","https://openalex.org/W4214530037","https://openalex.org/W4297665946","https://openalex.org/W6631190155","https://openalex.org/W6730623217","https://openalex.org/W6739901393","https://openalex.org/W6746282794","https://openalex.org/W6760613829","https://openalex.org/W6775845032","https://openalex.org/W6785858640","https://openalex.org/W6790646689","https://openalex.org/W6792537157","https://openalex.org/W6797915068"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2018871932","https://openalex.org/W641279757","https://openalex.org/W370975646","https://openalex.org/W1670566515","https://openalex.org/W4242022592","https://openalex.org/W596972243","https://openalex.org/W2149537132","https://openalex.org/W2997567050","https://openalex.org/W2377797706"],"abstract_inverted_index":{"Autonomous":[0],"vehicles":[1],"clearly":[2,251],"benefit":[3],"from":[4,39,60,124],"the":[5,40,76,105,135,144,148,187,201,237],"expanded":[6],"Field":[7],"of":[8,11,42,64,78,189,195,240],"View":[9],"(FoV)":[10],"360\u00b0":[12,132],"sensors,":[13],"but":[14],"modern":[15],"semantic":[16,50,84,183,265],"segmentation":[17,51,85,97,184,259,266],"approaches":[18,260],"rely":[19],"heavily":[20],"on":[21],"annotated":[22,93],"training":[23,57,121],"data":[24,58,137,165],"which":[25,141,185],"is":[26],"rarely":[27],"available":[28,146],"for":[29,82,95,174],"<italic":[30,47,66,151],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[31,48,67,108,152,177],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">panoramic</i>":[32,49],"images.":[33,70],"We":[34],"look":[35],"at":[36],"this":[37],"problem":[38],"perspective":[41],"domain":[43,80,114,190,197,232,254],"adaptation":[44,81,198,213,238],"and":[45,86,116,130,206,234,242,256],"bring":[46],"to":[52,103,162],"a":[53,61,90,171],"setting,":[54],"where":[55],"labelled":[56,136],"originates":[59],"different":[62,193],"distribution":[63],"conventional":[65],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">pinhole</i>":[68],"camera":[69,120],"To":[71],"achieve":[72],"this,":[73],"we":[74,167],"formalize":[75],"task":[77],"unsupervised":[79,253],"panoramic":[83,96,258],"collect":[87],"DensePass":[88,126],"-":[89,170],"novel":[91],"densely":[92],"dataset":[94],"under":[98],"cross-domain":[99],"conditions,":[100],"specifically":[101],"built":[102],"study":[104],"Pinhole":[106,175],"<inline-formula":[107,176],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[109,178],"<tex-math":[110,179],"notation=\"LaTeX\">$\\rightarrow$":[111,180],"</tex-math></inline-formula>":[112,181],"PANORAMIC":[113],"shift":[115],"accompanied":[117],"with":[118,134,192,222],"pinhole":[119],"examples":[122],"obtained":[123],"Cityscapes.":[125],"covers":[127],"both,":[128],"labelled-":[129],"unlabelled":[131],"images,":[133],"comprising":[138],"19":[139],"classes":[140],"explicitly":[142],"fit":[143],"categories":[145],"in":[147,164,203],"source":[149],"(":[150],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i.e.</i>":[153],"pinhole)":[154],"domain.":[155],"Since":[156],"data-driven":[157],"models":[158],"are":[159],"especially":[160],"susceptible":[161],"changes":[163],"distribution,":[166],"introduce":[168],"P2PDA":[169,210],"generic":[172],"framework":[173,226,250],"Panoramic":[182],"addresses":[186],"challenge":[188],"divergence":[191],"variants":[194],"attention-augmented":[196],"modules,":[199],"enabling":[200],"transfer":[202],"output-,":[204],"feature-,":[205],"feature":[207],"confidence":[208,215],"spaces.":[209],"intertwines":[211],"uncertainty-aware":[212],"using":[214],"values":[216],"regulated":[217],"on-the-fly":[218],"through":[219],"attention":[220],"heads":[221],"discrepant":[223],"predictions.":[224],"Our":[225],"facilitates":[227],"context":[228],"exchange":[229],"when":[230],"learning":[231],"correspondences":[233],"dramatically":[235],"improves":[236],"performance":[239],"accuracy-":[241],"efficiency-focused":[243],"models.":[244],"Comprehensive":[245],"experiments":[246],"verify":[247],"that":[248],"our":[249],"surpasses":[252],"adaptation-":[255],"specialized":[257],"as":[261,263],"well":[262],"state-of-the-art":[264],"methods.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":11}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
