{"id":"https://openalex.org/W3130574226","doi":"https://doi.org/10.1109/iv48863.2021.9575445","title":"Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-Task Baseline","display_name":"Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-Task Baseline","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3130574226","doi":"https://doi.org/10.1109/iv48863.2021.9575445","mag":"3130574226"},"language":"en","primary_location":{"id":"doi:10.1109/iv48863.2021.9575445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv48863.2021.9575445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.07008","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109768654","display_name":"Eslam Mohamed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eslam Mohamed","raw_affiliation_strings":["Valeo Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Valeo Egypt","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085540707","display_name":"Mahmoud Ewaisha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahmoud Ewaisha","raw_affiliation_strings":["Valeo Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Valeo Egypt","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022335103","display_name":"Mennatullah Siam","orcid":"https://orcid.org/0000-0003-1854-3698"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mennatullah Siam","raw_affiliation_strings":["University of Alberta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002670983","display_name":"Hazem Rashed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hazem Rashed","raw_affiliation_strings":["Valeo Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Valeo Egypt","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014764449","display_name":"Senthil Yogamani","orcid":"https://orcid.org/0000-0003-3755-4245"},"institutions":[{"id":"https://openalex.org/I4210125758","display_name":"Central Statistics Office","ror":"https://ror.org/02x4af624","country_code":"IE","type":"other","lineage":["https://openalex.org/I4210125758"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Senthil Yogamani","raw_affiliation_strings":["Yaleo Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yaleo Ireland","institution_ids":["https://openalex.org/I4210125758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047567186","display_name":"Waleed Hamdy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Waleed Hamdy","raw_affiliation_strings":["Valeo Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Valeo Egypt","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mohamed El-Dakdouky","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150948","display_name":"Zewail City of Science and Technology","ror":"https://ror.org/04w5f4y88","country_code":"EG","type":"education","lineage":["https://openalex.org/I4210150948"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed El-Dakdouky","raw_affiliation_strings":["Zewail City of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zewail City of Science and Technology","institution_ids":["https://openalex.org/I4210150948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020536138","display_name":"Ahmad El-Sallab","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmad El-Sallab","raw_affiliation_strings":["Valeo Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Valeo Egypt","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1291,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79459046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"114","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9968000054359436,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.996399998664856,"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/computer-science","display_name":"Computer science","score":0.8281067609786987},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7982687950134277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7576080560684204},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6438763737678528},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6156776547431946},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5472981929779053},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5294182896614075},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5129966139793396},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4976485073566437},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.4373874366283417},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.42145836353302},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4114036560058594},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41071173548698425}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8281067609786987},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7982687950134277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7576080560684204},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6438763737678528},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6156776547431946},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5472981929779053},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5294182896614075},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5129966139793396},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4976485073566437},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.4373874366283417},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.42145836353302},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4114036560058594},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41071173548698425},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/iv48863.2021.9575445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv48863.2021.9575445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2008.07008","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.07008","pdf_url":"https://arxiv.org/pdf/2008.07008","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3130574226","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2008.07008","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2008.07008","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2008.07008","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.07008","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.07008","pdf_url":"https://arxiv.org/pdf/2008.07008","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3130574226.pdf","grobid_xml":"https://content.openalex.org/works/W3130574226.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1496571393","https://openalex.org/W1921093919","https://openalex.org/W2002875082","https://openalex.org/W2040013490","https://openalex.org/W2088285655","https://openalex.org/W2101703235","https://openalex.org/W2115579991","https://openalex.org/W2129822853","https://openalex.org/W2194775991","https://openalex.org/W2326050853","https://openalex.org/W2340897893","https://openalex.org/W2470139095","https://openalex.org/W2552531400","https://openalex.org/W2555182955","https://openalex.org/W2560474170","https://openalex.org/W2564998703","https://openalex.org/W2565639579","https://openalex.org/W2566030665","https://openalex.org/W2582761847","https://openalex.org/W2587989515","https://openalex.org/W2610147486","https://openalex.org/W2737008123","https://openalex.org/W2774058387","https://openalex.org/W2793693263","https://openalex.org/W2883780447","https://openalex.org/W2893097039","https://openalex.org/W2894138533","https://openalex.org/W2897475915","https://openalex.org/W2898743055","https://openalex.org/W2904631343","https://openalex.org/W2906685478","https://openalex.org/W2908721328","https://openalex.org/W2942930375","https://openalex.org/W2947763354","https://openalex.org/W2949302831","https://openalex.org/W2950646696","https://openalex.org/W2955425717","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2963499229","https://openalex.org/W2963632334","https://openalex.org/W2963732700","https://openalex.org/W2963833733","https://openalex.org/W2963954267","https://openalex.org/W2963983744","https://openalex.org/W2964040697","https://openalex.org/W2964089273","https://openalex.org/W2966669119","https://openalex.org/W2971344836","https://openalex.org/W2990479855","https://openalex.org/W2990620661","https://openalex.org/W2990874363","https://openalex.org/W2993182889","https://openalex.org/W2996010494","https://openalex.org/W3004734937","https://openalex.org/W3013597939","https://openalex.org/W3106250896","https://openalex.org/W6743811873","https://openalex.org/W6749781174","https://openalex.org/W6753767121","https://openalex.org/W6761961885","https://openalex.org/W6762718338","https://openalex.org/W6767359532","https://openalex.org/W6770458317","https://openalex.org/W6775272603","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3209333838","https://openalex.org/W2904631343","https://openalex.org/W3136263466","https://openalex.org/W2996010494","https://openalex.org/W2774058387","https://openalex.org/W2560474170","https://openalex.org/W2990620661","https://openalex.org/W2194775991","https://openalex.org/W2992507084","https://openalex.org/W2995947152","https://openalex.org/W2975400096","https://openalex.org/W2967890649","https://openalex.org/W2888872586","https://openalex.org/W2979299656","https://openalex.org/W2705009888","https://openalex.org/W3197113684","https://openalex.org/W3120935441","https://openalex.org/W2779985940","https://openalex.org/W2950728552","https://openalex.org/W2794977364"],"abstract_inverted_index":{"Moving":[0],"object":[1,192],"segmentation":[2,55,144,169,237],"is":[3,90,126],"a":[4,19,40,99,139,150,211],"crucial":[5,127],"task":[6],"for":[7,128,152,194],"autonomous":[8,60],"vehicles":[9],"as":[10,149],"it":[11,63,158],"can":[12],"be":[13],"used":[14],"to":[15,82,114,159,224],"segment":[16],"objects":[17,34,80],"in":[18,59,249],"class":[20,130,141,182],"agnostic":[21,131,142,183],"manner":[22],"based":[23,43],"on":[24,44,210],"their":[25,45,50],"motion":[26,46,54,132,236],"cues.":[27],"It":[28],"enables":[29],"the":[30,69,87,91,153,171,181,225,230,234],"detection":[31,193],"of":[32,49,78,93,104,191,220,233],"unseen":[33],"during":[35],"training":[36],"(e.g.,":[37],"moose":[38],"or":[39],"construction":[41],"truck)":[42],"and":[47,137,184,206,243],"independent":[48,189],"appearance.":[51],"Although":[52],"pixel-wise":[53],"has":[56,64],"been":[57,65],"studied":[58],"driving":[61],"literature,":[62],"rarely":[66],"addressed":[67],"at":[68,252],"instance":[70,116,143,168],"level,":[71],"which":[72,125,146,164],"would":[73,147],"help":[74],"separate":[75,177],"connected":[76],"segments":[77],"moving":[79],"leading":[81],"better":[83],"trajectory":[84],"planning.":[85],"As":[86],"main":[88],"issue":[89],"lack":[92],"large":[94],"public":[95],"datasets,":[96],"we":[97,119,201],"create":[98],"new":[100],"InstanceMotSeg":[101],"dataset":[102,242],"comprising":[103],"12.9K":[105],"samples":[106],"improving":[107],"upon":[108],"our":[109,250],"KITTIMoSeg":[110],"dataset.":[111,154],"In":[112],"addition":[113],"providing":[115,187],"level":[117],"annotations,":[118],"have":[120],"added":[121],"4":[122],"additional":[123],"classes":[124],"studying":[129],"segmentation.":[133],"We":[134,155],"adapt":[135],"YOLACT":[136],"implement":[138],"motion-based":[140],"model":[145,163,174,228],"act":[148],"baseline":[151],"also":[156],"extend":[157],"an":[160,218],"efficient":[161,204],"multi-task":[162],"additionally":[165],"provides":[166],"semantic":[167,185],"sharing":[170],"encoder.":[172],"The":[173,241],"then":[175],"learns":[176],"prototype":[178],"coefficients":[179],"within":[180],"heads":[186],"two":[188],"paths":[190],"redundant":[195],"safety.":[196],"To":[197],"obtain":[198,207],"real-time":[199],"performance,":[200],"study":[202],"different":[203],"encoders":[205],"39":[208],"fps":[209],"Titan":[212],"Xp":[213],"GPU":[214],"using":[215],"MobileNetV2":[216],"with":[217],"improvement":[219],"10%":[221],"mAP":[222],"relative":[223],"baseline.":[226],"Our":[227],"improves":[229],"previous":[231],"state":[232],"art":[235],"method":[238],"by":[239],"3.3%.":[240],"qualitative":[244],"results":[245],"video":[246],"are":[247],"shared":[248],"website":[251],"https://sites.google.com/view/instancemotseg.":[253]},"counts_by_year":[{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}
