{"id":"https://openalex.org/W2979297565","doi":"https://doi.org/10.1145/3359999.3360490","title":"Robust Semantic Video Segmentation through Confidence-based Feature Map Warping","display_name":"Robust Semantic Video Segmentation through Confidence-based Feature Map Warping","publication_year":2019,"publication_date":"2019-10-07","ids":{"openalex":"https://openalex.org/W2979297565","doi":"https://doi.org/10.1145/3359999.3360490","mag":"2979297565"},"language":"en","primary_location":{"id":"doi:10.1145/3359999.3360490","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3359999.3360490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computer Science in Cars Symposium","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/A5091557657","display_name":"Timo S\u00e4mann","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112099","display_name":"Valeo (Germany)","ror":"https://ror.org/01zkeq752","country_code":"DE","type":"company","lineage":["https://openalex.org/I220619192","https://openalex.org/I4210112099"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Timo S\u00e4mann","raw_affiliation_strings":["Valeo, Germany"],"affiliations":[{"raw_affiliation_string":"Valeo, Germany","institution_ids":["https://openalex.org/I4210112099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050276067","display_name":"Karl Amende","orcid":null},"institutions":[{"id":"https://openalex.org/I220619192","display_name":"Valeo (France)","ror":"https://ror.org/04ryqpf83","country_code":"FR","type":"company","lineage":["https://openalex.org/I220619192"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Karl Amende","raw_affiliation_strings":["Valeo"],"affiliations":[{"raw_affiliation_string":"Valeo","institution_ids":["https://openalex.org/I220619192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075427857","display_name":"Stefan Milz","orcid":"https://orcid.org/0000-0002-3859-2107"},"institutions":[{"id":"https://openalex.org/I220619192","display_name":"Valeo (France)","ror":"https://ror.org/04ryqpf83","country_code":"FR","type":"company","lineage":["https://openalex.org/I220619192"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Stefan Milz","raw_affiliation_strings":["Valeo"],"affiliations":[{"raw_affiliation_string":"Valeo","institution_ids":["https://openalex.org/I220619192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075114390","display_name":"Horst\u2013Michael Gro\u00df","orcid":"https://orcid.org/0000-0001-9712-0225"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Horst-Michael Gro\u00df","raw_affiliation_strings":["Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab"],"affiliations":[{"raw_affiliation_string":"Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab","institution_ids":["https://openalex.org/I119449181"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091557657"],"corresponding_institution_ids":["https://openalex.org/I4210112099"],"apc_list":null,"apc_paid":null,"fwci":0.42,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71484137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9990000128746033,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9976999759674072,"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/robustness","display_name":"Robustness (evolution)","score":0.87244713306427},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.7835278511047363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7524247765541077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7065277099609375},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5539488196372986},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49611935019493103},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.4527266025543213},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4433257579803467},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4279567301273346},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32258477807044983}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.87244713306427},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.7835278511047363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524247765541077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7065277099609375},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5539488196372986},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49611935019493103},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4527266025543213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4433257579803467},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4279567301273346},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32258477807044983},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3359999.3360490","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3359999.3360490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computer Science in Cars Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1923697677","https://openalex.org/W1953465585","https://openalex.org/W1973071925","https://openalex.org/W2064675550","https://openalex.org/W2116261113","https://openalex.org/W2124592697","https://openalex.org/W2461677039","https://openalex.org/W2560023338","https://openalex.org/W2560474170","https://openalex.org/W2561585794","https://openalex.org/W2592939477","https://openalex.org/W2604505099","https://openalex.org/W2962815021","https://openalex.org/W2962916206","https://openalex.org/W2963391479","https://openalex.org/W2963866581","https://openalex.org/W2964212410"],"related_works":["https://openalex.org/W1670332068","https://openalex.org/W2095618524","https://openalex.org/W2735770592","https://openalex.org/W1971024059","https://openalex.org/W1502062143","https://openalex.org/W4224236531","https://openalex.org/W4291993329","https://openalex.org/W2063177452","https://openalex.org/W2413982977","https://openalex.org/W1522196789"],"abstract_inverted_index":{"One":[0],"of":[1,13,20,59,72,106],"the":[2,11,43,57,83,91,104,131],"limiting":[3],"factors":[4],"when":[5],"using":[6],"deep":[7],"learning":[8],"methods":[9],"in":[10,42,62,126],"field":[12],"highly":[14],"automated":[15],"driving":[16],"is":[17,56],"their":[18],"lack":[19],"robustness.":[21],"Objects":[22],"that":[23,75],"suddenly":[24],"appear":[25],"or":[26],"disappear":[27],"from":[28,78],"one":[29],"image":[30,117,121],"to":[31,34,52,89,102],"another":[32],"due":[33],"inaccurate":[35],"predictions":[36],"as":[37,39,120],"well":[38],"occurring":[40],"perturbations":[41,118],"input":[44],"data":[45,114],"can":[46],"have":[47,110],"devastating":[48],"consequences.":[49],"A":[50],"possibility":[51],"increase":[53,95],"model":[54],"robustness":[55,97],"use":[58],"temporal":[60],"consistency":[61],"video":[63],"data.":[64],"Our":[65],"approach":[66],"aims":[67],"for":[68],"a":[69,112],"confidence-based":[70],"combination":[71],"feature":[73],"maps":[74],"are":[76],"warped":[77],"previous":[79],"time":[80],"stages":[81],"into":[82],"current":[84],"one.":[85],"This":[86],"enables":[87],"us":[88],"stabilize":[90],"network":[92],"prediction":[93],"and":[94,123],"its":[96],"against":[98],"perturbations.":[99],"In":[100],"order":[101],"demonstrate":[103],"effectiveness":[105],"our":[107],"approach,":[108],"we":[109,128],"created":[111],"test":[113],"set":[115],"with":[116],"such":[119],"artifacts":[122],"adversarial":[124],"examples":[125],"which":[127],"significantly":[129],"outperform":[130],"baseline.":[132]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
