{"id":"https://openalex.org/W4224938566","doi":"https://doi.org/10.1109/icassp43922.2022.9747074","title":"Boundary-Aware Bias Loss for Transformer-Based Aerial Image Segmentation Model","display_name":"Boundary-Aware Bias Loss for Transformer-Based Aerial Image Segmentation Model","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4224938566","doi":"https://doi.org/10.1109/icassp43922.2022.9747074"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747074","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5100456419","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0003-3470-3663"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition","Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112026062","display_name":"Xue Jiang","orcid":"https://orcid.org/0000-0001-7193-6744"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Jiang","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition","Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390231","display_name":"Siqi Liu","orcid":"https://orcid.org/0000-0002-1768-9655"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi Liu","raw_affiliation_strings":["Peking University,School of Software & Microelectronics"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Software & Microelectronics","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748112","display_name":"Bo Hu","orcid":"https://orcid.org/0000-0001-5874-3315"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Hu","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition","Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition","Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100456419"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":0.1798,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48075004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987000226974487,"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":0.6883096694946289},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6731467247009277},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.566684901714325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5248299241065979},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5100997090339661},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43229416012763977},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1792387068271637},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.11090618371963501},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.0820658802986145}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6883096694946289},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6731467247009277},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.566684901714325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5248299241065979},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5100997090339661},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43229416012763977},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1792387068271637},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.11090618371963501},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0820658802986145}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747074","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2108598243","https://openalex.org/W2331128040","https://openalex.org/W2412782625","https://openalex.org/W2480078828","https://openalex.org/W2623490820","https://openalex.org/W2964847557","https://openalex.org/W2967087542","https://openalex.org/W3045916241","https://openalex.org/W3094502228","https://openalex.org/W3138516171","https://openalex.org/W3160694286","https://openalex.org/W3183430956","https://openalex.org/W4214554179","https://openalex.org/W4297779827","https://openalex.org/W4385245566","https://openalex.org/W6639824700","https://openalex.org/W6702130928","https://openalex.org/W6739901393","https://openalex.org/W6766770679","https://openalex.org/W6771497439","https://openalex.org/W6784333009","https://openalex.org/W6798901973","https://openalex.org/W6800335409"],"related_works":["https://openalex.org/W1669643531","https://openalex.org/W2122581818","https://openalex.org/W1631910785","https://openalex.org/W2159066190","https://openalex.org/W2739874619","https://openalex.org/W2110230079","https://openalex.org/W2117933325","https://openalex.org/W2117664411","https://openalex.org/W1721780360","https://openalex.org/W1507266234"],"abstract_inverted_index":{"Inspired":[0],"by":[1],"the":[2,6,17,21,32,41,73,87,90],"tremendous":[3],"success":[4],"of":[5,68,89],"transformer-based":[7,18,66,80],"model":[8,19],"in":[9],"natural":[10],"language":[11],"processing":[12,23],"(NLP),":[13],"many":[14],"efforts":[15],"introduce":[16],"into":[20],"image":[22,33,51],"tasks.":[24],"However,":[25],"naive":[26],"transformer":[27],"models":[28,67,81],"have":[29],"to":[30,35,64],"down-sample":[31],"resolution":[34],"satisfy":[36],"computational":[37],"restrictions,":[38],"thus":[39],"discarding":[40],"local":[42,70],"information,":[43],"which":[44],"is":[45],"catastrophic":[46],"for":[47],"high-performance":[48],"remote":[49],"sensing":[50],"segmentation.":[52],"Hence,":[53],"this":[54],"paper":[55],"proposes":[56],"a":[57],"novel":[58],"trainable":[59],"boundary-aware":[60],"bias":[61],"loss":[62],"function":[63],"enhance":[65],"extracting":[69],"information.":[71],"On":[72],"Challenging":[74],"ISPRS":[75],"Potsdam":[76],"dataset,":[77],"two":[78],"representative":[79],"achieve":[82],"remarkable":[83],"performance":[84],"improvements,":[85],"proving":[86],"effectiveness":[88],"proposed":[91],"method.":[92]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}