{"id":"https://openalex.org/W4383220296","doi":"https://doi.org/10.1109/tip.2023.3290519","title":"Conditional Boundary Loss for Semantic Segmentation","display_name":"Conditional Boundary Loss for Semantic Segmentation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4383220296","doi":"https://doi.org/10.1109/tip.2023.3290519","pmid":"https://pubmed.ncbi.nlm.nih.gov/37405882"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3290519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3290519","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":"https://openalex.org/A5102018773","display_name":"Dongyue Wu","orcid":"https://orcid.org/0000-0002-4716-856X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyue Wu","raw_affiliation_strings":["Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4716-856X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043846573","display_name":"Zilin Guo","orcid":"https://orcid.org/0009-0002-5286-8023"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilin Guo","raw_affiliation_strings":["Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085471636","display_name":"Aoyan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aoyan Li","raw_affiliation_strings":["Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013651586","display_name":"Changqian Yu","orcid":"https://orcid.org/0000-0002-4488-4157"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changqian Yu","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4488-4157","affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035295689","display_name":"Changxin Gao","orcid":"https://orcid.org/0000-0003-2736-3920"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changxin Gao","raw_affiliation_strings":["Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2736-3920","affiliations":[{"raw_affiliation_string":"Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013734579","display_name":"Nong Sang","orcid":"https://orcid.org/0000-0002-9167-1496"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nong Sang","raw_affiliation_strings":["Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9167-1496","affiliations":[{"raw_affiliation_string":"Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.999,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.96667429,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"32","issue":null,"first_page":"3717","last_page":"3731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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":0.9994000196456909,"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":0.9991000294685364,"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/segmentation","display_name":"Segmentation","score":0.8011122941970825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6525891423225403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6068461537361145},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6026835441589355},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.5678746104240417},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5513899922370911},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4778180420398712},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4538683593273163},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.42740511894226074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4269106388092041},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42437493801116943},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.41623321175575256},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24835842847824097},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06047046184539795}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8011122941970825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6525891423225403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6068461537361145},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6026835441589355},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.5678746104240417},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5513899922370911},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4778180420398712},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4538683593273163},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.42740511894226074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4269106388092041},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42437493801116943},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.41623321175575256},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24835842847824097},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06047046184539795},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2023.3290519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3290519","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:37405882","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37405882","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/G190987795","display_name":null,"funder_award_id":"61876210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7509559500","display_name":null,"funder_award_id":"62176097","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W2125215748","https://openalex.org/W2161236525","https://openalex.org/W2194775991","https://openalex.org/W2266390837","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2470139095","https://openalex.org/W2560023338","https://openalex.org/W2630837129","https://openalex.org/W2737258237","https://openalex.org/W2781228439","https://openalex.org/W2783877714","https://openalex.org/W2798441115","https://openalex.org/W2798791840","https://openalex.org/W2799166040","https://openalex.org/W2884822772","https://openalex.org/W2888340395","https://openalex.org/W2890782586","https://openalex.org/W2895340641","https://openalex.org/W2899002405","https://openalex.org/W2910628332","https://openalex.org/W2940262938","https://openalex.org/W2952793010","https://openalex.org/W2955058313","https://openalex.org/W2955813853","https://openalex.org/W2963091558","https://openalex.org/W2963342403","https://openalex.org/W2963516811","https://openalex.org/W2963727650","https://openalex.org/W2964309882","https://openalex.org/W2965391153","https://openalex.org/W2981689412","https://openalex.org/W2981899103","https://openalex.org/W2985276900","https://openalex.org/W2985459778","https://openalex.org/W2989684653","https://openalex.org/W2990775046","https://openalex.org/W2991062542","https://openalex.org/W2991471181","https://openalex.org/W2993235622","https://openalex.org/W2997564896","https://openalex.org/W2999725795","https://openalex.org/W3034198316","https://openalex.org/W3034502973","https://openalex.org/W3035339581","https://openalex.org/W3035358681","https://openalex.org/W3047385447","https://openalex.org/W3094183857","https://openalex.org/W3096653763","https://openalex.org/W3097065222","https://openalex.org/W3103611212","https://openalex.org/W3103868522","https://openalex.org/W3107113572","https://openalex.org/W3107634219","https://openalex.org/W3108186749","https://openalex.org/W3109301572","https://openalex.org/W3127595489","https://openalex.org/W3138516171","https://openalex.org/W3160534040","https://openalex.org/W3168227666","https://openalex.org/W3170841864","https://openalex.org/W3213165621","https://openalex.org/W4312815172","https://openalex.org/W6639824700","https://openalex.org/W6640295612","https://openalex.org/W6739696289","https://openalex.org/W6748481559","https://openalex.org/W6754879843","https://openalex.org/W6761630670","https://openalex.org/W6766318054","https://openalex.org/W6798837711"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2758994127","https://openalex.org/W2386644571"],"abstract_inverted_index":{"Improving":[0],"boundary":[1,25,36,46,68,118,174,211],"segmentation":[2,51,103,175,180,203],"results":[3,194],"has":[4],"recently":[5],"attracted":[6],"increasing":[7],"attention":[8],"in":[9,29,157],"the":[10,21,24,30,54,57,79,101,106,109,136,158,173,193,198,208],"field":[11],"of":[12,56,78,177],"semantic":[13,50,102,179],"segmentation.":[14],"Since":[15],"existing":[16],"popular":[17,202],"methods":[18,90],"usually":[19],"exploit":[20],"long-range":[22],"context,":[23],"cues":[26],"are":[27,153],"obscure":[28],"feature":[31],"space,":[32],"leading":[33],"to":[34,52,121,144,171,200],"poor":[35],"results.":[37],"In":[38,85],"this":[39],"paper,":[40],"we":[41],"propose":[42],"a":[43,62,164],"novel":[44],"conditional":[45,76],"loss":[47,159,162],"(CBL)":[48],"for":[49,66],"improve":[53,172,207],"performance":[55,176],"boundaries.":[58],"The":[59,75],"CBL":[60,80,107,137,199],"creates":[61],"unique":[63,123],"optimization":[64,77,93],"goal":[65],"each":[67,117],"pixel,":[69],"conditioned":[70],"on":[71,186],"its":[72,122,132],"surrounding":[73,150],"neighbors.":[74,134],"is":[81,163],"easy":[82],"yet":[83],"effective.":[84],"contrast,":[86],"most":[87],"previous":[88],"boundary-aware":[89],"have":[91],"difficult":[92],"goals":[94],"or":[95],"may":[96],"cause":[97],"potential":[98],"conflicts":[99],"with":[100],"task.":[104],"Specifically,":[105],"enhances":[108],"intra-class":[110],"consistency":[111],"and":[112,127,141,189,192,210],"inter-class":[113],"difference,":[114],"by":[115],"pulling":[116],"pixel":[119],"closer":[120],"local":[124],"class":[125],"center":[126],"pushing":[128],"it":[129],"away":[130],"from":[131],"different-class":[133],"Moreover,":[135],"filters":[138],"out":[139],"noisy":[140],"incorrect":[142],"information":[143],"obtain":[145],"precise":[146],"boundaries,":[147],"since":[148],"only":[149],"neighbors":[151],"that":[152,167,196],"correctly":[154],"classified":[155],"participate":[156],"calculation.":[160],"Our":[161],"plug-and-play":[165],"solution":[166],"can":[168,205],"be":[169],"used":[170],"any":[178],"network.":[181],"We":[182],"conduct":[183],"extensive":[184],"experiments":[185],"ADE20K,":[187],"Cityscapes,":[188],"Pascal":[190],"Context,":[191],"show":[195],"applying":[197],"various":[201],"networks":[204],"significantly":[206],"mIoU":[209],"F-score":[212],"performance.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
