{"id":"https://openalex.org/W4402980884","doi":"https://doi.org/10.1109/icme57554.2024.10687484","title":"Combining Soft and Hard Attentions for high-quality single-stage instance segmentation","display_name":"Combining Soft and Hard Attentions for high-quality single-stage instance segmentation","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402980884","doi":"https://doi.org/10.1109/icme57554.2024.10687484"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687484","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100336677","display_name":"Qiong Chen","orcid":"https://orcid.org/0000-0002-3480-7641"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Chen","raw_affiliation_strings":["Hainan University,School of Cyberspace Security,Haikou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hainan University,School of Cyberspace Security,Haikou,China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103030218","display_name":"Yaochi Zhao","orcid":"https://orcid.org/0000-0001-8506-6647"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaochi Zhao","raw_affiliation_strings":["Hainan University,School of Cyberspace Security,Haikou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hainan University,School of Cyberspace Security,Haikou,China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066175495","display_name":"Yujia Chen","orcid":"https://orcid.org/0000-0003-2901-0643"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujia Chen","raw_affiliation_strings":["Hainan University,School of Cyberspace Security,Haikou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hainan University,School of Cyberspace Security,Haikou,China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420152","display_name":"He Zhang","orcid":"https://orcid.org/0000-0003-3782-1411"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Zhang","raw_affiliation_strings":["Hainan University,School of Cyberspace Security,Haikou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hainan University,School of Cyberspace Security,Haikou,China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091521083","display_name":"Zhuhua Hu","orcid":"https://orcid.org/0000-0002-6837-9024"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuhua Hu","raw_affiliation_strings":["Hainan University,School of Information and Communication Engineering,Haikou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hainan University,School of Information and Communication Engineering,Haikou,China","institution_ids":["https://openalex.org/I20942203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20942203"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9370999932289124,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9370999932289124,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.930899977684021,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9262999892234802,"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":0.6426250338554382},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6299657821655273},{"id":"https://openalex.org/keywords/single-stage","display_name":"Single stage","score":0.5549910664558411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5194465517997742},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.44758784770965576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36305922269821167},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12391164898872375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6426250338554382},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6299657821655273},{"id":"https://openalex.org/C3020376581","wikidata":"https://www.wikidata.org/wiki/Q16866784","display_name":"Single stage","level":2,"score":0.5549910664558411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5194465517997742},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.44758784770965576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36305922269821167},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12391164898872375},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687484","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2899607431","https://openalex.org/W2920326761","https://openalex.org/W2963113370","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963849369","https://openalex.org/W2964241181","https://openalex.org/W2964444661","https://openalex.org/W2982161360","https://openalex.org/W2982770724","https://openalex.org/W2993182889","https://openalex.org/W3034428102","https://openalex.org/W3034681942","https://openalex.org/W3034826836","https://openalex.org/W3035049382","https://openalex.org/W3047032303","https://openalex.org/W3106546328","https://openalex.org/W3113410735","https://openalex.org/W4226367203","https://openalex.org/W4312460151","https://openalex.org/W4312577413","https://openalex.org/W4312616451","https://openalex.org/W4385245566","https://openalex.org/W4386066020"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4395685956","https://openalex.org/W2799953226","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"The":[0],"existing":[1],"single-stage":[2],"instance":[3,138],"segmentation":[4,8],"networks":[5,13],"achieve":[6],"real-time":[7,137],"by":[9],"using":[10],"simple":[11],"convolutional":[12],"and":[14,38,46,55,74,86,126],"limiting":[15],"the":[16,24,34,41,66,76,95,109,122,128,142],"number":[17],"of":[18,26,43,70,79,97],"feature":[19,44,88,98],"scales,":[20],"which":[21,63,92,140],"greatly":[22],"limits":[23],"performance":[25,37,111],"model.":[27],"To":[28],"solve":[29],"this":[30],"problem,":[31],"we":[32,50,83,101],"explore":[33],"trade-off":[35],"between":[36],"speed":[39],"from":[40],"aspects":[42],"extraction":[45],"training":[47],"strategy.":[48],"First,":[49],"propose":[51],"to":[52,107,131],"combine":[53],"soft":[54],"hard":[56],"attentions":[57],"(CSHA)":[58],"in":[59],"a":[60],"lightweight":[61],"module,":[62,91],"can":[64,93,120],"improve":[65,108],"attention":[67],"allocation":[68],"ability":[69,78],"model":[71,110],"for":[72],"channels":[73],"enhance":[75],"awareness":[77],"important":[80],"features.":[81],"Furthermore,":[82],"employ":[84,102],"serial":[85],"parallel":[87],"fusion":[89],"(SPFF)":[90],"increase":[94,127],"diversity":[96],"scales.":[99],"Moreover,":[100],"Poly":[103],"Focal":[104],"Loss":[105],"(PFL)":[106],"without":[112],"any":[113],"additional":[114],"costs":[115],"during":[116],"inference.":[117],"Our":[118],"method":[119],"reduce":[121],"missing":[123],"detection":[124],"rate":[125],"AP":[129],"value":[130],"36.1%":[132],"on":[133],"COCO":[134],"dataset,":[135],"maintaining":[136],"segmentation,":[139],"exceeds":[141],"current":[143],"mainstream":[144],"methods.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
