{"id":"https://openalex.org/W2979913009","doi":"https://doi.org/10.1109/access.2019.2946650","title":"Automatic Annotation and Segmentation of Object Instances With Deep Active Curve Network","display_name":"Automatic Annotation and Segmentation of Object Instances With Deep Active Curve Network","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2979913009","doi":"https://doi.org/10.1109/access.2019.2946650","mag":"2979913009"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2946650","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2946650","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08864970.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08864970.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041446903","display_name":"Zihao Dong","orcid":"https://orcid.org/0000-0002-5927-7974"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Dong","raw_affiliation_strings":["College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-5927-7974","affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045614813","display_name":"Ruixun Zhang","orcid":"https://orcid.org/0000-0002-7670-8393"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruixun Zhang","raw_affiliation_strings":["Laboratory for Financial Engineering, MIT, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Financial Engineering, MIT, Cambridge, MA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101125772","display_name":"Xiuli Shao","orcid":"https://orcid.org/0000-0001-5059-3172"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuli Shao","raw_affiliation_strings":["College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.794,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77229574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"147501","last_page":"147512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9965999722480774,"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":0.7641688585281372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6974286437034607},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6519458293914795},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5299065113067627},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5146816372871399},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4787784814834595},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45673274993896484},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42478689551353455},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3597175180912018},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11480101943016052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7641688585281372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6974286437034607},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6519458293914795},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5299065113067627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5146816372871399},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4787784814834595},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45673274993896484},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42478689551353455},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3597175180912018},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11480101943016052},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2946650","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2946650","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08864970.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e7a3279e44454dcda6639dedbb2c07ce","is_oa":true,"landing_page_url":"https://doaj.org/article/e7a3279e44454dcda6639dedbb2c07ce","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 147501-147512 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2946650","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2946650","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08864970.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2979913009.pdf"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W809122546","https://openalex.org/W845365781","https://openalex.org/W1756252575","https://openalex.org/W1903029394","https://openalex.org/W1981115560","https://openalex.org/W1991367009","https://openalex.org/W1999478155","https://openalex.org/W2050966201","https://openalex.org/W2059319345","https://openalex.org/W2074621908","https://openalex.org/W2102605133","https://openalex.org/W2110158442","https://openalex.org/W2113689258","https://openalex.org/W2118246710","https://openalex.org/W2124351162","https://openalex.org/W2133515615","https://openalex.org/W2169551590","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2322480645","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2519517723","https://openalex.org/W2557889580","https://openalex.org/W2559545830","https://openalex.org/W2560023338","https://openalex.org/W2605482930","https://openalex.org/W2609825896","https://openalex.org/W2737258237","https://openalex.org/W2769833683","https://openalex.org/W2777795072","https://openalex.org/W2795276939","https://openalex.org/W2799166040","https://openalex.org/W2935807868","https://openalex.org/W2938318677","https://openalex.org/W2949763629","https://openalex.org/W2953106684","https://openalex.org/W2963150697","https://openalex.org/W2963307106","https://openalex.org/W2963406768","https://openalex.org/W2963971305","https://openalex.org/W2964015378","https://openalex.org/W2964211168","https://openalex.org/W2970436478","https://openalex.org/W2979394918","https://openalex.org/W6620707391","https://openalex.org/W6622964371","https://openalex.org/W6726873649","https://openalex.org/W6730192449","https://openalex.org/W6749589925","https://openalex.org/W6760315812","https://openalex.org/W6760590015","https://openalex.org/W6761225010","https://openalex.org/W6761471682","https://openalex.org/W6762881109"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4380994516","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Object":[0],"instance":[1,12,49],"segmentation":[2,23,50,81],"is":[3,14,89,111],"a":[4,19,52,63,71,75,84],"challenging":[5],"task":[6,59],"in":[7,83,192],"computer":[8],"vision":[9],"research,":[10],"and":[11,18,55,80,119,148,151,198],"annotation":[13,154],"its":[15],"key":[16,168],"sub-task":[17],"basic":[20],"component":[21],"of":[22,61,77,123,131,145,185,206],"models.":[24],"In":[25,97,177],"this":[26],"paper,":[27],"we":[28,157,181],"propose":[29],"the":[30,78,115,124,129,132,143,153,159,172,178,183,203],"Deep":[31],"Active":[32],"Curve":[33],"Network":[34,109],"(DACN)":[35],"which":[36,88,166],"combines":[37],"powerful":[38],"ResNet":[39],"models":[40],"with":[41,92,94],"GCN-based":[42],"active":[43,173],"curves.":[44],"This":[45],"new":[46],"method":[47,188],"regards":[48],"as":[51],"points/vertices,":[53],"edges":[54],"object":[56,103],"masks":[57],"prediction":[58],"instead":[60],"only":[62],"pixel-labeling":[64],"problem.":[65],"The":[66],"multi-scale":[67],"encoder":[68],"firstly":[69],"predicts":[70],"coarse":[72,126],"result":[73,127],"through":[74],"combination":[76],"edge":[79,130],"features":[82],"multi-task":[85],"learning":[86],"framework,":[87],"effective":[90],"dealing":[91],"objects":[93],"rough":[95],"boundaries.":[96],"order":[98],"to":[99,113,128,170],"generate":[100],"an":[101,105],"accurate":[102],"annotation,":[104],"iterative":[106],"Graph":[107],"Convolutional":[108],"(GCN)":[110],"used":[112],"correct":[114],"encoder's":[116],"feature":[117],"map":[118],"move":[120],"all":[121],"vertices":[122],"predicted":[125],"corresponding":[133],"ground":[134],"truth.":[135],"A":[136],"novel":[137,211],"weighted":[138],"loss":[139],"function":[140],"further":[141,201],"estimates":[142],"location":[144],"points,":[146],"edges,":[147],"segmented":[149],"areas,":[150],"optimizes":[152],"results.":[155],"Finally,":[156],"use":[158],"improved":[160],"5-interpolation":[161],"Catmull-Rom":[162],"spline":[163],"(CRS)":[164],"algorithm":[165],"exploits":[167],"points":[169],"control":[171],"curves":[174],"around":[175],"objects.":[176],"experimental":[179],"analysis,":[180],"demonstrate":[182],"effectiveness":[184],"our":[186,207],"proposed":[187],"on":[189,209],"three":[190],"datasets":[191],"automatic":[193],"mode,":[194],"including":[195],"Cityscapes,":[196],"ADE20K":[197],"Rooftop.":[199],"We":[200],"show":[202],"generalization":[204],"ability":[205],"approach":[208],"two":[210],"cross-domain":[212],"datasets.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}