{"id":"https://openalex.org/W4385767728","doi":"https://doi.org/10.24963/ijcai.2023/82","title":"Sub-Band Based Attention for Robust Polyp Segmentation","display_name":"Sub-Band Based Attention for Robust Polyp Segmentation","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385767728","doi":"https://doi.org/10.24963/ijcai.2023/82"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/82","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/82","pdf_url":"https://www.ijcai.org/proceedings/2023/0082.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/2023/0082.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033676752","display_name":"Xianyong Fang","orcid":"https://orcid.org/0000-0002-6045-8430"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianyong Fang","raw_affiliation_strings":["Anhui University","School of Computer Science and Technology, Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015200358","display_name":"Yuqing Shi","orcid":"https://orcid.org/0009-0009-9655-0931"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqing Shi","raw_affiliation_strings":["Anhui University","School of Computer Science and Technology, Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061759611","display_name":"Qingqing Guo","orcid":"https://orcid.org/0000-0003-0041-4046"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqing Guo","raw_affiliation_strings":["Anhui University","School of Computer Science and Technology, Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101802052","display_name":"Linbo Wang","orcid":"https://orcid.org/0009-0000-9331-396X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linbo Wang","raw_affiliation_strings":["Anhui University","School of Computer Science and Technology, Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057821256","display_name":"Zhengyi Liu","orcid":"https://orcid.org/0000-0003-3265-823X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyi Liu","raw_affiliation_strings":["Anhui University","School of Computer Science and Technology, Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1228,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80259026,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"736","last_page":"744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9933000206947327,"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":0.9933000206947327,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9739999771118164,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9409000277519226,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7756869792938232},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.761796236038208},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6876375675201416},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5898035764694214},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5714179277420044},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5584059953689575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5509641170501709},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5281957387924194},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46054524183273315},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.42782413959503174},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4154094457626343},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3538779020309448},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3238913416862488},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15617939829826355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11691230535507202}],"concepts":[{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7756869792938232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.761796236038208},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6876375675201416},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5898035764694214},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5714179277420044},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5584059953689575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5509641170501709},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5281957387924194},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46054524183273315},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.42782413959503174},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4154094457626343},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3538779020309448},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3238913416862488},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15617939829826355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11691230535507202},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/82","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/82","pdf_url":"https://www.ijcai.org/proceedings/2023/0082.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.2023/82","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/82","pdf_url":"https://www.ijcai.org/proceedings/2023/0082.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":[{"id":"https://metadata.un.org/sdg/10","score":0.550000011920929,"display_name":"Reduced inequalities"},{"id":"https://metadata.un.org/sdg/16","score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1410536857","display_name":null,"funder_award_id":"KJ2021A0042","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G3208004626","display_name":null,"funder_award_id":"2108085MF210","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G482322324","display_name":null,"funder_award_id":"KJ2021A0042","funder_id":"https://openalex.org/F4320326664","funder_display_name":"Anhui Provincial Department of Education"}],"funders":[{"id":"https://openalex.org/F4320326664","display_name":"Anhui Provincial Department of Education","ror":null},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385767728.pdf"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1503398984","https://openalex.org/W1901129140","https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2285968993","https://openalex.org/W2560311620","https://openalex.org/W2560328367","https://openalex.org/W2593488799","https://openalex.org/W2917989249","https://openalex.org/W2951884431","https://openalex.org/W2971028215","https://openalex.org/W2997286550","https://openalex.org/W3012033723","https://openalex.org/W3034771037","https://openalex.org/W3035811871","https://openalex.org/W3091630951","https://openalex.org/W3092344722","https://openalex.org/W3115282177","https://openalex.org/W3127751679","https://openalex.org/W3130695101","https://openalex.org/W3134036841","https://openalex.org/W3134841676","https://openalex.org/W3135262214","https://openalex.org/W3135856195","https://openalex.org/W3142162018","https://openalex.org/W3155387234","https://openalex.org/W3160228192","https://openalex.org/W3168227666","https://openalex.org/W3169044395","https://openalex.org/W3174565742","https://openalex.org/W3175214565","https://openalex.org/W3175515048","https://openalex.org/W3177634011","https://openalex.org/W3180439858","https://openalex.org/W3187378100","https://openalex.org/W3199003182","https://openalex.org/W3199502724","https://openalex.org/W3202277597","https://openalex.org/W3204166336","https://openalex.org/W3204995672","https://openalex.org/W3206381516","https://openalex.org/W4224232907","https://openalex.org/W4225918920","https://openalex.org/W4226043703","https://openalex.org/W4226068227","https://openalex.org/W4285050439","https://openalex.org/W4285303086","https://openalex.org/W4285602196","https://openalex.org/W4293812389","https://openalex.org/W4295915728","https://openalex.org/W4295940381","https://openalex.org/W4298792075","https://openalex.org/W4306176089","https://openalex.org/W4310001918","https://openalex.org/W4312746248","https://openalex.org/W4312845411","https://openalex.org/W4313172482","https://openalex.org/W4362603432","https://openalex.org/W4366548144","https://openalex.org/W4382877880","https://openalex.org/W4386643772","https://openalex.org/W6759964707","https://openalex.org/W6786711164","https://openalex.org/W6790825729","https://openalex.org/W6791858558","https://openalex.org/W6803771590","https://openalex.org/W6863631769","https://openalex.org/W6863994431","https://openalex.org/W6864014924"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W1987128138","https://openalex.org/W2743976221"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"a":[3,37,91,127],"novel":[4,128],"spectral":[5],"domain":[6],"based":[7,18,39,150],"solution":[8],"to":[9,58,109,126,136,144],"the":[10,24,28,33,49,55,60,67,84,98,106,111,159,166,171],"challenging":[11],"polyp":[12,129,168],"segmentation.":[13],"The":[14,119],"main":[15,99],"contribution":[16],"is":[17,43,76,102],"on":[19],"an":[20],"interesting":[21],"finding":[22],"of":[23,27,54,121],"significant":[25],"existence":[26],"middle":[29,52],"frequency":[30],"sub-band":[31],"during":[32],"CNN":[34,88,112],"process.":[35],"Consequently,":[36,162],"Sub-Band":[38],"Attention":[40],"(SBA)":[41],"module":[42,96],"proposed,":[44],"which":[45,141],"uniformly":[46],"adopts":[47,134],"either":[48],"high":[50],"or":[51],"sub-bands":[53,75,149],"encoder":[56,72,100],"features":[57,62,108,113,140],"boost":[59,110],"decoder":[61],"and":[63,123],"thus":[64],"concretely":[65],"improve":[66],"feature":[68],"discrimination.":[69],"A":[70],"strong":[71],"supplying":[73],"informative":[74],"also":[77,142],"very":[78],"important,":[79],"while":[80],"we":[81],"highly":[82],"value":[83],"local-and-global":[85],"information":[86],"enriched":[87],"features.":[89,161],"Therefore,":[90],"Transformer":[92,107],"Attended":[93],"Convolution":[94],"(TAC)":[95],"as":[97,170],"block":[101],"introduced.":[103],"It":[104,133],"takes":[105],"with":[114],"stronger":[115],"long-range":[116],"object":[117],"contexts.":[118],"combination":[120],"SBA":[122],"TAC":[124,135],"leads":[125],"segmentation":[130],"framework,":[131],"SBA-Net.":[132],"effectively":[137],"obtain":[138],"encoded":[139],"input":[143],"SBA,":[145],"so":[146],"that":[147],"efficient":[148],"attention":[151],"maps":[152],"can":[153,164],"be":[154],"generated":[155],"for":[156],"progressively":[157],"decoding":[158],"bottleneck":[160],"SBA-Net":[163],"achieve":[165],"robust":[167],"segmentation,":[169],"experimental":[172],"results":[173],"demonstrate.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
