{"id":"https://openalex.org/W4226185851","doi":"https://doi.org/10.1109/tip.2022.3162475","title":"Explored Normalized Cut With Random Walk Refining Term for Image Segmentation","display_name":"Explored Normalized Cut With Random Walk Refining Term for Image Segmentation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226185851","doi":"https://doi.org/10.1109/tip.2022.3162475","pmid":"https://pubmed.ncbi.nlm.nih.gov/35358046"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3162475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3162475","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lei Zhu","orcid":"https://orcid.org/0000-0003-0506-4268"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhu","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0506-4268","affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xuejing Kang","orcid":"https://orcid.org/0000-0002-4088-351X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejing Kang","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4088-351X","affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lizhu Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhu Ye","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":null,"display_name":"Anlong Ming","orcid":"https://orcid.org/0000-0003-2952-7757"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anlong Ming","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2952-7757","affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.8809,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73463066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"31","issue":null,"first_page":"2893","last_page":"2906"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5958999991416931,"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":0.5958999991416931,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.1656000018119812,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.094200000166893,"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/image-segmentation","display_name":"Image segmentation","score":0.6624000072479248},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.6620000004768372},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6279000043869019},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.597100019454956},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5784000158309937},{"id":"https://openalex.org/keywords/random-walker-algorithm","display_name":"Random walker algorithm","score":0.5296000242233276},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5212000012397766},{"id":"https://openalex.org/keywords/twig","display_name":"Twig","score":0.5206999778747559},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48840001225471497}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6671000123023987},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6624000072479248},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.6620000004768372},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6279000043869019},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.597100019454956},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5784000158309937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5781999826431274},{"id":"https://openalex.org/C105045736","wikidata":"https://www.wikidata.org/wiki/Q7292002","display_name":"Random walker algorithm","level":3,"score":0.5296000242233276},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5212000012397766},{"id":"https://openalex.org/C2777601135","wikidata":"https://www.wikidata.org/wiki/Q11162356","display_name":"Twig","level":2,"score":0.5206999778747559},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5077999830245972},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48840001225471497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4410000145435333},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.43299999833106995},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39089998602867126},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3822000026702881},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.362199991941452},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35679998993873596},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.3476000130176544},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3433000147342682},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.336899995803833},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.33410000801086426},{"id":"https://openalex.org/C185690422","wikidata":"https://www.wikidata.org/wiki/Q6865438","display_name":"Minimum cut","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.2978000044822693},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.28790000081062317},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26170000433921814}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3162475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3162475","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:35358046","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35358046","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7010625183","display_name":null,"funder_award_id":"2021YFE0101600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8306175728","display_name":null,"funder_award_id":"61701036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1693210201","https://openalex.org/W2067191022","https://openalex.org/W2088651901","https://openalex.org/W2099951869","https://openalex.org/W2101744728","https://openalex.org/W2103423579","https://openalex.org/W2108424265","https://openalex.org/W2110158442","https://openalex.org/W2114030927","https://openalex.org/W2121947440","https://openalex.org/W2124260943","https://openalex.org/W2124351162","https://openalex.org/W2125637308","https://openalex.org/W2134158406","https://openalex.org/W2135431554","https://openalex.org/W2168804568","https://openalex.org/W2198626657","https://openalex.org/W2220312492","https://openalex.org/W2529970009","https://openalex.org/W2612271937","https://openalex.org/W2732510062","https://openalex.org/W2804647158","https://openalex.org/W2883606943","https://openalex.org/W2901652143","https://openalex.org/W2946315763","https://openalex.org/W2964203491","https://openalex.org/W4241568759","https://openalex.org/W6640464587","https://openalex.org/W6675350928","https://openalex.org/W6679056986","https://openalex.org/W6730713231"],"related_works":[],"abstract_inverted_index":{"The":[0],"Normalized":[1,36],"Cut":[2,37],"(NCut)":[3],"model":[4,9,39,45,78,96,117,128],"is":[5,79,110],"a":[6,42,48,51,83,106],"popular":[7],"graph-based":[8],"for":[10],"image":[11],"segmentation.":[12,28,70],"But":[13],"it":[14],"suffers":[15],"from":[16],"the":[17,23,57,67,73,98,115,134],"excessive":[18],"normalization":[19],"problem":[20],"and":[21,26,50],"weakens":[22],"small":[24,60,68],"object":[25,69],"twig":[27,74],"In":[29],"this":[30],"paper,":[31],"we":[32],"propose":[33],"an":[34,101],"Explored":[35],"(ENCut)":[38],"that":[40,90,126],"establishes":[41],"balance":[43],"graph":[44],"by":[46,82],"adopting":[47],"meaningful-loop":[49],"k-step":[52],"random":[53,103],"walk,":[54],"which":[55],"reduces":[56],"energy":[58],"of":[59,100],"salient":[61],"region,":[62],"so":[63],"as":[64],"to":[65,94,112],"enhance":[66],"To":[71],"improve":[72],"segmentation,":[75],"our":[76,95,127],"ENCut":[77,116],"further":[80],"enhanced":[81],"new":[84],"Random":[85],"Walk":[86],"Refining":[87],"Term":[88],"(RWRT)":[89],"adds":[91],"local":[92],"attention":[93],"with":[97,118],"help":[99],"un-supervising":[102],"walk.":[104],"Finally,":[105],"move-making":[107],"based":[108],"strategy":[109],"developed":[111],"efficiently":[113],"solve":[114],"RWRT.":[119],"Experiments":[120],"on":[121],"three":[122],"standard":[123],"datasets":[124],"indicate":[125],"can":[129],"achieve":[130],"state-of-the-art":[131],"results":[132],"among":[133],"NCut-based":[135],"segmentation":[136],"models.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2022-05-05T00:00:00"}
