{"id":"https://openalex.org/W3127461007","doi":"https://doi.org/10.1109/isocc50952.2020.9332981","title":"Instant and Accurate Instance Segmentation Equipped with Path Aggregation and Attention Gate","display_name":"Instant and Accurate Instance Segmentation Equipped with Path Aggregation and Attention Gate","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3127461007","doi":"https://doi.org/10.1109/isocc50952.2020.9332981","mag":"3127461007"},"language":"en","primary_location":{"id":"doi:10.1109/isocc50952.2020.9332981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc50952.2020.9332981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International SoC Design Conference (ISOCC)","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/A5086990509","display_name":"Seung Il Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seung Il Lee","raw_affiliation_strings":["Department of Electrical and Information Engineering, Research Center for Electrical and Information Technology, Seoul National University of Science and Technology, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Research Center for Electrical and Information Technology, Seoul National University of Science and Technology, Seoul, Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100371185","display_name":"Hyun Kim","orcid":"https://orcid.org/0000-0002-7962-657X"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun Kim","raw_affiliation_strings":["Department of Electrical and Information Engineering, Research Center for Electrical and Information Technology, Seoul National University of Science and Technology, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Research Center for Electrical and Information Technology, Seoul National University of Science and Technology, Seoul, Korea","institution_ids":["https://openalex.org/I118373667"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086990509"],"corresponding_institution_ids":["https://openalex.org/I118373667"],"apc_list":null,"apc_paid":null,"fwci":0.2931,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58728238,"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":"320","last_page":"321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9876999855041504,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8677181601524353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8040975332260132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7046428918838501},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6606330871582031},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.615355372428894},{"id":"https://openalex.org/keywords/instant","display_name":"Instant","score":0.6092192530632019},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5362706780433655},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4911763370037079},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4661976397037506},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4633142948150635},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.45944204926490784},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4553048014640808},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4237770438194275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35972869396209717},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07346713542938232},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06421670317649841}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8677181601524353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8040975332260132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7046428918838501},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6606330871582031},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.615355372428894},{"id":"https://openalex.org/C2779432360","wikidata":"https://www.wikidata.org/wiki/Q16963779","display_name":"Instant","level":2,"score":0.6092192530632019},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5362706780433655},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4911763370037079},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4661976397037506},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4633142948150635},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.45944204926490784},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4553048014640808},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4237770438194275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35972869396209717},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07346713542938232},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06421670317649841},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isocc50952.2020.9332981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc50952.2020.9332981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International SoC Design Conference (ISOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5534064549","display_name":null,"funder_award_id":"2020M3H2A1078119","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G6136038349","display_name":null,"funder_award_id":"2020-0-01304","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2798122215","https://openalex.org/W2935524202","https://openalex.org/W2963150697","https://openalex.org/W2963495494","https://openalex.org/W2963857746","https://openalex.org/W2981958729","https://openalex.org/W2993182889","https://openalex.org/W3019048729","https://openalex.org/W3106250896","https://openalex.org/W6639102338","https://openalex.org/W6750469568","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W80586315","https://openalex.org/W4205800335","https://openalex.org/W2758994127"],"abstract_inverted_index":{"With":[0],"the":[1,14,26,77,87,91,94,106],"development":[2],"of":[3,16,25,60,79,85,118],"GPU":[4],"and":[5,19,37,50,65],"deep":[6],"learning,":[7],"there":[8],"has":[9],"been":[10],"great":[11],"advances":[12],"in":[13,31],"field":[15],"object":[17],"detection":[18],"segmentation.":[20,81],"Instance":[21],"segmentation":[22,72],"is":[23],"one":[24],"most":[27],"important":[28],"tasks":[29],"used":[30],"many":[32],"areas":[33,42],"including":[34],"autonomous":[35],"vehicles":[36],"video":[38],"surveillance":[39],"because":[40],"such":[41],"require":[43],"both":[44],"high":[45,51],"frames":[46],"per":[47],"second":[48],"(FPS)":[49],"accuracy.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"propose":[57],"a":[58,83],"method":[59,89],"attaching":[61],"path":[62],"aggregation":[63],"network":[64],"attention":[66],"gate":[67],"based":[68],"on":[69],"real-time":[70],"instance":[71,80],"model,":[73],"YOLACT,":[74],"to":[75,90,111],"increase":[76],"accuracy":[78,107],"As":[82],"result":[84],"applying":[86],"proposed":[88],"YOLACT":[92],"framework,":[93],"processing":[95,117],"speed":[96],"drops":[97],"slightly":[98],"by":[99],"2.7":[100],"<sup":[101],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[102],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">%</sup>":[103],",":[104],"but":[105],"increases":[108],"significantly":[109],"up":[110],"1.4AP,":[112],"while":[113],"still":[114],"maintaining":[115],"realtime":[116],"32.6FPS.":[119]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}