{"id":"https://openalex.org/W4385767687","doi":"https://doi.org/10.24963/ijcai.2023/147","title":"Contour-based Interactive Segmentation","display_name":"Contour-based Interactive Segmentation","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385767687","doi":"https://doi.org/10.24963/ijcai.2023/147"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/147","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/147","pdf_url":"https://www.ijcai.org/proceedings/2023/0147.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0147.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004724097","display_name":"Polina Popenova","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Polina Popenova","raw_affiliation_strings":["Samsung Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Research","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048031065","display_name":"Danil Galeev","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danil Galeev","raw_affiliation_strings":["Samsung Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Research","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025399268","display_name":"\u0410\u043d\u043d\u0430 \u0412\u043e\u0440\u043e\u043d\u0446\u043e\u0432\u0430","orcid":"https://orcid.org/0000-0003-0603-3869"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna Vorontsova","raw_affiliation_strings":["Samsung Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Research","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065787419","display_name":"Anton Konushin","orcid":"https://orcid.org/0000-0002-6152-0021"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anton Konushin","raw_affiliation_strings":["Samsung Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Research","institution_ids":["https://openalex.org/I4210101778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3368,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58207925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1322","last_page":"1330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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":0.9991999864578247,"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":0.9980000257492065,"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-science","display_name":"Computer science","score":0.8405237793922424},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8004764318466187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6387001276016235},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.619705080986023},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.603597104549408},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5646879076957703},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.44490060210227966},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4305415153503418},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3621499538421631}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8405237793922424},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8004764318466187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6387001276016235},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.619705080986023},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.603597104549408},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5646879076957703},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.44490060210227966},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4305415153503418},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3621499538421631}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/147","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/147","pdf_url":"https://www.ijcai.org/proceedings/2023/0147.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/147","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/147","pdf_url":"https://www.ijcai.org/proceedings/2023/0147.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385767687.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1861492603","https://openalex.org/W1964884769","https://openalex.org/W1995911388","https://openalex.org/W2003192903","https://openalex.org/W2103423579","https://openalex.org/W2116719896","https://openalex.org/W2121927366","https://openalex.org/W2125637308","https://openalex.org/W2137592810","https://openalex.org/W2144794286","https://openalex.org/W2168555635","https://openalex.org/W2169527406","https://openalex.org/W2300469113","https://openalex.org/W2337429362","https://openalex.org/W2470139095","https://openalex.org/W2769833683","https://openalex.org/W2770462575","https://openalex.org/W2776163999","https://openalex.org/W2795276939","https://openalex.org/W2798769484","https://openalex.org/W2948553897","https://openalex.org/W2948672349","https://openalex.org/W2962967409","https://openalex.org/W2963173418","https://openalex.org/W2964037732","https://openalex.org/W2964221652","https://openalex.org/W2982036614","https://openalex.org/W3014641072","https://openalex.org/W3034278117","https://openalex.org/W3034550159","https://openalex.org/W3042356046","https://openalex.org/W3096945436","https://openalex.org/W3108925098","https://openalex.org/W3109301572","https://openalex.org/W3119387259","https://openalex.org/W3132926949","https://openalex.org/W3209945042","https://openalex.org/W4312900066","https://openalex.org/W4385490361"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,25],"interactive":[3],"segmentation":[4,90,102],"(IS)":[5],"allow":[6],"speeding":[7],"up":[8],"and":[9,13,76,96],"simplifying":[10],"image":[11],"editing":[12],"labeling":[14],"greatly.":[15],"The":[16],"majority":[17],"of":[18,28,47,53,56,69,124],"modern":[19],"IS":[20,80],"approaches":[21],"accept":[22],"user":[23,37,70,125],"input":[24],"the":[26,57,84,88,113,121],"form":[27,68],"clicks.":[29],"However,":[30],"using":[31],"clicks":[32],"may":[33],"require":[34],"too":[35],"many":[36],"interactions,":[38],"especially":[39],"when":[40],"selecting":[41],"small":[42],"ob-":[43,54],"jects,":[44],"minor":[45],"parts":[46],"an":[48],"object,":[49],"or":[50],"a":[51,66,73,78,109],"group":[52],"jects":[55],"same":[58,114],"type.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63,106],"consider":[64],"such":[65],"natural":[67],"interaction":[71],"as":[72,116],"loose":[74],"contour,":[75],"introduce":[77],"contour-based":[79],"method.":[81],"We":[82],"evaluate":[83],"proposed":[85],"method":[86],"on":[87],"standard":[89],"benchmarks,":[91],"our":[92],"novel":[93],"UserContours":[94],"dataset,":[95],"its":[97],"subset":[98],"UserContours-G":[99],"containing":[100],"difficult":[101],"cases.":[103],"Through":[104],"experiments,":[105],"demonstrate":[107],"that":[108],"single":[110],"contour":[111],"provides":[112],"accuracy":[115],"multiple":[117],"clicks,":[118],"thus":[119],"reducing":[120],"required":[122],"amount":[123],"interactions.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
