{"id":"https://openalex.org/W4384817843","doi":"https://doi.org/10.1007/s41095-022-0302-8","title":"Sequential interactive image segmentation","display_name":"Sequential interactive image segmentation","publication_year":2023,"publication_date":"2023-07-20","ids":{"openalex":"https://openalex.org/W4384817843","doi":"https://doi.org/10.1007/s41095-022-0302-8"},"language":"en","primary_location":{"id":"doi:10.1007/s41095-022-0302-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-022-0302-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-022-0302-8.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41095-022-0302-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078642643","display_name":"Lin Zheng","orcid":"https://orcid.org/0000-0002-8057-4949"},"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":"Zheng Lin","raw_affiliation_strings":["TKLNDST, College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TKLNDST, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103205468","display_name":"Zhao Zhang","orcid":"https://orcid.org/0000-0002-1521-8163"},"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":"Zhao Zhang","raw_affiliation_strings":["TKLNDST, College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TKLNDST, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104301678","display_name":"Ziyue Zhu","orcid":"https://orcid.org/0009-0004-3239-5681"},"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":"Zi-Yue Zhu","raw_affiliation_strings":["TKLNDST, College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TKLNDST, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056294284","display_name":"Deng-Ping Fan","orcid":"https://orcid.org/0000-0002-5245-7518"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Deng-Ping Fan","raw_affiliation_strings":["Computer Vision Lab, ETH Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Lab, ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026904363","display_name":"Xialei Liu","orcid":"https://orcid.org/0000-0001-8534-3026"},"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":"Xia-Lei Liu","raw_affiliation_strings":["TKLNDST, College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TKLNDST, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056294284"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":0.7832,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68902097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"9","issue":"4","first_page":"753","last_page":"765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","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/T10052","display_name":"Medical Image Segmentation Techniques","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":0.9980999827384949,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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-graphics","display_name":"Computer graphics (images)","score":0.6103684306144714},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.6012760400772095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5938277840614319},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5410025119781494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5353662371635437},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4926820397377014}],"concepts":[{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.6103684306144714},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.6012760400772095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5938277840614319},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5410025119781494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5353662371635437},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4926820397377014}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s41095-022-0302-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-022-0302-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-022-0302-8.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e88f687118514062b1c5eb58a70671ff","is_oa":true,"landing_page_url":"https://doaj.org/article/e88f687118514062b1c5eb58a70671ff","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":"Computational Visual Media, Vol 9, Iss 4, Pp 753-765 (2023)","raw_type":"article"},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/625341","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/625341","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Visual Media, 9 (4)","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.3929/ethz-b-000625341","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000625341","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1007/s41095-022-0302-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-022-0302-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-022-0302-8.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384817843.pdf"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1967268147","https://openalex.org/W1995911388","https://openalex.org/W2003192903","https://openalex.org/W2031489346","https://openalex.org/W2080171500","https://openalex.org/W2083277843","https://openalex.org/W2087107241","https://openalex.org/W2103423579","https://openalex.org/W2108598243","https://openalex.org/W2113137767","https://openalex.org/W2125637308","https://openalex.org/W2144794286","https://openalex.org/W2168555635","https://openalex.org/W2169551590","https://openalex.org/W2194775991","https://openalex.org/W2267158114","https://openalex.org/W2294819727","https://openalex.org/W2300469113","https://openalex.org/W2609825896","https://openalex.org/W2769833683","https://openalex.org/W2776163999","https://openalex.org/W2795276939","https://openalex.org/W2798769484","https://openalex.org/W2799089472","https://openalex.org/W2823072336","https://openalex.org/W2890143105","https://openalex.org/W2895800749","https://openalex.org/W2946977574","https://openalex.org/W2948553897","https://openalex.org/W2962967409","https://openalex.org/W2964221652","https://openalex.org/W2964309882","https://openalex.org/W2967279867","https://openalex.org/W2970971581","https://openalex.org/W2979394918","https://openalex.org/W2982036614","https://openalex.org/W3020854212","https://openalex.org/W3034278117","https://openalex.org/W3034435444","https://openalex.org/W3034499925","https://openalex.org/W3034550159","https://openalex.org/W3034586976","https://openalex.org/W3096289386","https://openalex.org/W3096945436","https://openalex.org/W3110551393","https://openalex.org/W3208094801","https://openalex.org/W4248635988","https://openalex.org/W4312447529","https://openalex.org/W4312603257","https://openalex.org/W4362597616","https://openalex.org/W6634721143"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Interactive":[0],"image":[1,63],"segmentation":[2,64],"(IIS)":[3],"is":[4,92,128],"an":[5,107,129],"important":[6],"technique":[7],"for":[8,51,67,168],"obtaining":[9],"pixel-level":[10],"annotations.":[11],"In":[12,55],"many":[13],"cases,":[14],"target":[15],"objects":[16],"share":[17],"similar":[18],"semantics.":[19],"However,":[20],"IIS":[21],"methods":[22,167],"neglect":[23],"this":[24,56,84],"connection":[25],"and":[26,41,77,165],"in":[27],"particular":[28,163],"the":[29,52,120,124,134,145,156],"cues":[30],"provided":[31],"by":[32],"representations":[33],"of":[34,74,136,158],"previously":[35,151],"segmented":[36],"objects,":[37],"previous":[38,42,113],"user":[39,69],"interaction,":[40],"prediction":[43],"masks,":[44],"which":[45],"can":[46,104],"all":[47],"provide":[48,79],"suitable":[49],"priors":[50],"current":[53],"annotation.":[54,114],"paper,":[57],"we":[58,78],"formulate":[59],"a":[60,80,93,99,162],"sequential":[61],"interactive":[62],"(SIIS)":[65],"task":[66,85],"minimizing":[68],"interaction":[70,95,121],"when":[71,140],"segmenting":[72],"sequences":[73],"related":[75],"images,":[76],"practical":[81],"approach":[82],"to":[83,118],"using":[86],"two":[87],"pertinent":[88],"designs.":[89],"The":[90,126],"first":[91],"novel":[94],"mode.":[96],"When":[97],"annotating":[98,141],"new":[100],"sample,":[101],"our":[102,166],"method":[103],"automatically":[105],"propose":[106],"initial":[108],"click":[109],"proposal":[110],"based":[111],"on":[112,123],"This":[115],"dramatically":[116],"helps":[117],"reduce":[119],"burden":[122],"user.":[125],"second":[127],"online":[130],"optimization":[131],"strategy,":[132],"with":[133,147],"goal":[135],"providing":[137],"semantic":[138],"information":[139],"specific":[142],"targets,":[143],"optimizing":[144],"model":[146],"dense":[148],"supervision":[149],"from":[150],"labeled":[152],"samples.":[153],"Experiments":[154],"demonstrate":[155],"effectiveness":[157],"regarding":[159],"SIIS":[160],"as":[161],"task,":[164],"addressing":[169],"it.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}
