{"id":"https://openalex.org/W4386938567","doi":"https://doi.org/10.1007/978-3-031-44210-0_42","title":"Neural Field Conditioning Strategies for 2D Semantic Segmentation","display_name":"Neural Field Conditioning Strategies for 2D Semantic Segmentation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386938567","doi":"https://doi.org/10.1007/978-3-031-44210-0_42"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-44210-0_42","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-44210-0_42","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-44210-0_42.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-44210-0_42.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066789231","display_name":"Martin Gromniak","orcid":"https://orcid.org/0000-0002-6602-8685"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]},{"id":"https://openalex.org/I4210093458","display_name":"Aeronautical Development Establishment","ror":"https://ror.org/005e5y372","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210093458","https://openalex.org/I4210150591"]}],"countries":["DE","IN"],"is_corresponding":true,"raw_author_name":"Martin Gromniak","raw_affiliation_strings":["Knowledge Technology, Department of Informatics, University of Hamburg, Hamburg, Germany","ZAL Center of Applied Aeronautical Research, Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Knowledge Technology, Department of Informatics, University of Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]},{"raw_affiliation_string":"ZAL Center of Applied Aeronautical Research, Hamburg, Germany","institution_ids":["https://openalex.org/I4210093458"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015567592","display_name":"Sven Magg","orcid":"https://orcid.org/0000-0002-0589-6585"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sven Magg","raw_affiliation_strings":["Hamburger Informatik Technologie-Center e.V. (HITeC), Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hamburger Informatik Technologie-Center e.V. (HITeC), Hamburg, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033486668","display_name":"Stefan Wermter","orcid":"https://orcid.org/0000-0003-1343-4775"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Wermter","raw_affiliation_strings":["Knowledge Technology, Department of Informatics, University of Hamburg, Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Knowledge Technology, Department of Informatics, University of Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066789231"],"corresponding_institution_ids":["https://openalex.org/I159176309","https://openalex.org/I4210093458"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.3851,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65842764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"520","last_page":"532"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9958999752998352,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9954000115394592,"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/computer-science","display_name":"Computer science","score":0.8422749042510986},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.776013970375061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6331373453140259},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6200470328330994},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.517071545124054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47246575355529785},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.45738711953163147},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.447092741727829},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37259793281555176},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.10461273789405823},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07079118490219116}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8422749042510986},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.776013970375061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6331373453140259},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6200470328330994},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.517071545124054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47246575355529785},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.45738711953163147},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.447092741727829},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37259793281555176},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.10461273789405823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07079118490219116},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-44210-0_42","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-44210-0_42","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-44210-0_42.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-44210-0_42","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-44210-0_42","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-44210-0_42.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386938567.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2102673432","https://openalex.org/W2194775991","https://openalex.org/W2535388113","https://openalex.org/W2760103357","https://openalex.org/W2955058313","https://openalex.org/W2963627347","https://openalex.org/W2963674086","https://openalex.org/W2963926543","https://openalex.org/W2964309882","https://openalex.org/W3034864980","https://openalex.org/W3036843665","https://openalex.org/W3109585842","https://openalex.org/W3173531806","https://openalex.org/W3174865552","https://openalex.org/W3176368002","https://openalex.org/W3203518786","https://openalex.org/W3215926197","https://openalex.org/W4214893857","https://openalex.org/W4312907595","https://openalex.org/W6600279152","https://openalex.org/W6834829943"],"related_works":["https://openalex.org/W2938286185","https://openalex.org/W2951125461","https://openalex.org/W2532775738","https://openalex.org/W2546942002","https://openalex.org/W2970216048","https://openalex.org/W2382607599","https://openalex.org/W1966366482","https://openalex.org/W3183617448","https://openalex.org/W2789928768","https://openalex.org/W3208028783"],"abstract_inverted_index":{"Abstract":[0],"Neural":[1],"fields":[2,67],"are":[3],"neural":[4,15,56,66],"networks":[5],"which":[6,36,99],"map":[7],"coordinates":[8],"to":[9,29],"a":[10,14,33,107,116,141],"desired":[11],"signal.":[12],"When":[13],"field":[16],"should":[17],"jointly":[18],"model":[19],"multiple":[20],"signals,":[21],"and":[22,92,137],"not":[23],"memorize":[24],"only":[25,106],"one,":[26],"it":[27],"needs":[28],"be":[30],"conditioned":[31],"on":[32,52],"latent":[34,86,97],"code":[35],"describes":[37],"the":[38,63,85,102,111,122,134],"signal":[39],"at":[40],"hand.":[41],"Despite":[42],"being":[43],"an":[44],"important":[45],"aspect,":[46],"there":[47],"has":[48],"been":[49],"little":[50],"research":[51],"conditioning":[53,80,124,130],"strategies":[54],"for":[55,70,144],"fields.":[57],"In":[58],"this":[59,75],"work,":[60],"we":[61,77,127],"explore":[62],"use":[64],"of":[65,84,110],"as":[68],"decoders":[69],"2D":[71],"semantic":[72,145],"segmentation.":[73,146],"For":[74],"task,":[76],"compare":[78],"three":[79],"methods,":[81],"simple":[82],"concatenation":[83],"code,":[87],"Feature-wise":[88],"Linear":[89],"Modulation":[90],"(FiLM),":[91],"Cross-Attention,":[93],"in":[94,119],"conjunction":[95],"with":[96,140],"codes":[98],"either":[100],"describe":[101],"full":[103],"image":[104],"or":[105],"local":[108],"region":[109],"image.":[112],"Our":[113],"results":[114,136],"show":[115,128],"considerable":[117],"difference":[118],"performance":[120],"between":[121],"examined":[123],"strategies.":[125],"Furthermore,":[126],"that":[129],"via":[131],"Cross-Attention":[132],"achieves":[133],"best":[135],"is":[138],"competitive":[139],"CNN-based":[142],"decoder":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}