{"id":"https://openalex.org/W3092223391","doi":"https://doi.org/10.1109/tip.2020.3028292","title":"Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation","display_name":"Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3092223391","doi":"https://doi.org/10.1109/tip.2020.3028292","mag":"3092223391","pmid":"https://pubmed.ncbi.nlm.nih.gov/33026989"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3028292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3028292","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://openresearch.surrey.ac.uk/esploro/outputs/journalArticle/Sketch-a-Segmenter-Sketch-based-Photo-Segmenter-Generation/99524422202346","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088444991","display_name":"Conghui Hu","orcid":"https://orcid.org/0000-0002-4984-3960"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Conghui Hu","raw_affiliation_strings":["SketchX Laboratory, University of Surrey, Guildford, U.K"],"raw_orcid":"https://orcid.org/0000-0002-4984-3960","affiliations":[{"raw_affiliation_string":"SketchX Laboratory, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384536","display_name":"Da Li","orcid":"https://orcid.org/0000-0002-2101-2989"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Da Li","raw_affiliation_strings":["SketchX Laboratory, University of Surrey, Guildford, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SketchX Laboratory, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101445001","display_name":"Yongxin Yang","orcid":"https://orcid.org/0000-0003-4134-8559"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yongxin Yang","raw_affiliation_strings":["SketchX Laboratory, University of Surrey, Guildford, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SketchX Laboratory, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087823932","display_name":"Timothy M. Hospedales","orcid":"https://orcid.org/0000-0003-4867-7486"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Timothy M. Hospedales","raw_affiliation_strings":["Institute of Perception, Action and Behaviour (IPAB), The University of Edinburgh, Edinburgh, U.K"],"raw_orcid":"https://orcid.org/0000-0003-4867-7486","affiliations":[{"raw_affiliation_string":"Institute of Perception, Action and Behaviour (IPAB), The University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046046128","display_name":"Yi-Zhe Song","orcid":"https://orcid.org/0000-0001-5908-3275"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yi-Zhe Song","raw_affiliation_strings":["SketchX Laboratory, University of Surrey, Guildford, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5908-3275","affiliations":[{"raw_affiliation_string":"SketchX Laboratory, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7667,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.74266701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"29","issue":null,"first_page":"9470","last_page":"9481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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"}}],"keywords":[{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.9322191476821899},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8177855014801025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7656108140945435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7226179838180542},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5076185464859009},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.49984216690063477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4854155480861664},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.482443630695343},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4187147915363312},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.41515886783599854},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3697105646133423},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06336021423339844}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.9322191476821899},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8177855014801025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7656108140945435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7226179838180542},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5076185464859009},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.49984216690063477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4854155480861664},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.482443630695343},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4187147915363312},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.41515886783599854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3697105646133423},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06336021423339844},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2020.3028292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3028292","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:33026989","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33026989","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:alma.44SUR_INST:11141699310002346","is_oa":true,"landing_page_url":"https://openresearch.surrey.ac.uk/esploro/outputs/journalArticle/Sketch-a-Segmenter-Sketch-based-Photo-Segmenter-Generation/99524422202346","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:alma.44SUR_INST:11141699310002346","is_oa":true,"landing_page_url":"https://openresearch.surrey.ac.uk/esploro/outputs/journalArticle/Sketch-a-Segmenter-Sketch-based-Photo-Segmenter-Generation/99524422202346","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1745334888","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W1905829557","https://openalex.org/W1923697677","https://openalex.org/W1972420097","https://openalex.org/W1985436611","https://openalex.org/W2037227137","https://openalex.org/W2104408738","https://openalex.org/W2110764733","https://openalex.org/W2117539524","https://openalex.org/W2123024445","https://openalex.org/W2124033848","https://openalex.org/W2134270519","https://openalex.org/W2144794286","https://openalex.org/W2153579005","https://openalex.org/W2162915993","https://openalex.org/W2412782625","https://openalex.org/W2466618734","https://openalex.org/W2467281799","https://openalex.org/W2519882289","https://openalex.org/W2552414813","https://openalex.org/W2563705555","https://openalex.org/W2566871317","https://openalex.org/W2608362693","https://openalex.org/W2625674597","https://openalex.org/W2630837129","https://openalex.org/W2753300133","https://openalex.org/W2776402438","https://openalex.org/W2796346823","https://openalex.org/W2885106698","https://openalex.org/W2895687296","https://openalex.org/W2913044631","https://openalex.org/W2924485953","https://openalex.org/W2948085278","https://openalex.org/W2962747232","https://openalex.org/W2963078159","https://openalex.org/W2963163009","https://openalex.org/W2963632741","https://openalex.org/W2963881378","https://openalex.org/W2964036047","https://openalex.org/W2964309882","https://openalex.org/W2965009519","https://openalex.org/W2981407849","https://openalex.org/W2994827984","https://openalex.org/W3101029400","https://openalex.org/W3143107425","https://openalex.org/W4294170691","https://openalex.org/W4297791576","https://openalex.org/W6639102338","https://openalex.org/W6640295612","https://openalex.org/W6678360021","https://openalex.org/W6678470764","https://openalex.org/W6682691769","https://openalex.org/W6739696289","https://openalex.org/W6744066916","https://openalex.org/W6748481559","https://openalex.org/W6752558437","https://openalex.org/W6864424756"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2378679551","https://openalex.org/W3149739944","https://openalex.org/W2392363776","https://openalex.org/W2063051341","https://openalex.org/W2591066345","https://openalex.org/W1494563618","https://openalex.org/W2357022711"],"abstract_inverted_index":{"Given":[0],"pixel-level":[1],"annotated":[2,188],"data,":[3],"traditional":[4],"photo":[5,14,57,116,183],"segmentation":[6,15,117,161,207],"techniques":[7],"have":[8,29],"achieved":[9],"promising":[10],"results.":[11],"However,":[12],"these":[13],"models":[16],"can":[17,144],"only":[18],"identify":[19],"objects":[20],"in":[21,59,162,215],"categories":[22,169],"for":[23,44,56,74,129,209],"which":[24,205],"data":[25],"annotation":[26],"and":[27,41,96,124,151,154,172,198],"training":[28,189],"been":[30],"carried":[31],"out.":[32],"This":[33,165],"limitation":[34],"has":[35],"inspired":[36],"recent":[37],"work":[38],"on":[39],"few-shot":[40],"zero-shot":[42,178],"learning":[43,179],"image":[45],"segmentation.":[46,109],"In":[47],"this":[48],"paper,":[49],"we":[50,112,200],"show":[51],"the":[52,75,99,126,135,149,152,163,193,202,216],"value":[53],"of":[54,87,103,138],"sketch":[55,95,104,121,171,197],"segmentation,":[58],"particular":[60],"as":[61,122],"a":[62,67,84,88,93,114,130,139,182,185],"transferable":[63],"representation":[64],"to":[65,69,82,105,133,177,212],"describe":[66],"concept":[68],"be":[70,145],"segmented.":[71],"We":[72],"show,":[73],"first":[76],"time,":[77],"that":[78,119],"it":[79],"is":[80],"possible":[81],"generate":[83],"photo-segmentation":[85],"model":[86],"novel":[89],"category":[90,186],"using":[91],"just":[92],"single":[94],"furthermore":[97],"exploit":[98],"unique":[100],"fine-grained":[101,155],"characteristics":[102],"produce":[106],"more":[107,159],"detailed":[108],"More":[110],"specifically,":[111],"propose":[113],"sketch-based":[115],"method":[118],"takes":[120],"input":[123,156],"synthesizes":[125],"weights":[127],"required":[128],"neural":[131],"network":[132],"segment":[134],"corresponding":[136,211],"region":[137],"given":[140],"photo.":[141],"Our":[142],"framework":[143,166],"applied":[146],"at":[147],"both":[148],"category-level":[150],"instance-level,":[153],"sketches":[157,214],"provide":[158],"accurate":[160],"latter.":[164],"generalizes":[167],"across":[168,196],"via":[170],"thus":[173],"provides":[174],"an":[175],"alternative":[176],"when":[180],"segmenting":[181],"from":[184],"without":[187],"data.":[190],"To":[191],"investigate":[192],"instance-level":[194],"relationship":[195],"photo,":[199],"create":[201],"SketchySeg":[203],"dataset":[204],"contains":[206],"annotations":[208],"photos":[210],"paired":[213],"Sketchy":[217],"Dataset.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"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"}
