{"id":"https://openalex.org/W4408351924","doi":"https://doi.org/10.1109/icassp49660.2025.10888610","title":"MambaInst: Lightweight State Space Model for Real-Time Instance Segmentation","display_name":"MambaInst: Lightweight State Space Model for Real-Time Instance Segmentation","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408351924","doi":"https://doi.org/10.1109/icassp49660.2025.10888610"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100379686","display_name":"Zeyu Wang","orcid":"https://orcid.org/0000-0001-9335-2694"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Wang","raw_affiliation_strings":["Zhejiang Normal University,Computer Science and Technology,JinHua,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Normal University,Computer Science and Technology,JinHua,China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369860","display_name":"Chen Li","orcid":"https://orcid.org/0000-0002-6895-2759"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["Zhejiang Normal University,Computer Science and Technology,JinHua,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Normal University,Computer Science and Technology,JinHua,China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038397278","display_name":"Huiying Xu","orcid":"https://orcid.org/0000-0001-9025-4183"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiying Xu","raw_affiliation_strings":["Zhejiang Normal University,Computer Science and Technology,JinHua,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Normal University,Computer Science and Technology,JinHua,China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068228391","display_name":"Xinzhong Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzhong Zhu","raw_affiliation_strings":["Zhejiang Normal University,Computer Science and Technology,JinHua,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Normal University,Computer Science and Technology,JinHua,China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103147562","display_name":"Xiao Huang","orcid":"https://orcid.org/0000-0001-5832-3759"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Huang","raw_affiliation_strings":["Zhejiang Normal University,College of Education,JinHua,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Normal University,College of Education,JinHua,China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045377867","display_name":"Hongbo Li","orcid":"https://orcid.org/0000-0001-8658-3144"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongbo Li","raw_affiliation_strings":["Beijing Geekplus Technology,BeiJing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Geekplus Technology,BeiJing,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.8120999932289124,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.8120999932289124,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7896999716758728,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.7576000094413757,"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":0.7218188643455505},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.47353097796440125},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.46850186586380005},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4379641115665436},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.40641719102859497},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.32374703884124756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3093687891960144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18243750929832458}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7218188643455505},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.47353097796440125},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46850186586380005},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4379641115665436},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40641719102859497},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32374703884124756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3093687891960144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18243750929832458},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2194775991","https://openalex.org/W2563705555","https://openalex.org/W2884436604","https://openalex.org/W2963150697","https://openalex.org/W2993182889","https://openalex.org/W3034681942","https://openalex.org/W3096609285","https://openalex.org/W3106546328","https://openalex.org/W3112503277","https://openalex.org/W3132455321","https://openalex.org/W3138516171","https://openalex.org/W3177388720","https://openalex.org/W3215433035","https://openalex.org/W4214613769","https://openalex.org/W4312460151","https://openalex.org/W4384207671","https://openalex.org/W4385245566","https://openalex.org/W4386071535","https://openalex.org/W4392902845","https://openalex.org/W4392931179","https://openalex.org/W4400448280","https://openalex.org/W4403152483","https://openalex.org/W4410915127","https://openalex.org/W6729983426","https://openalex.org/W6784333009","https://openalex.org/W6784930956","https://openalex.org/W6796402304","https://openalex.org/W6803444062","https://openalex.org/W6809665764","https://openalex.org/W6838393215","https://openalex.org/W6841205203","https://openalex.org/W6847876731","https://openalex.org/W6855870153","https://openalex.org/W6859298233","https://openalex.org/W6860915106","https://openalex.org/W6861213978","https://openalex.org/W6861342692","https://openalex.org/W6861387779","https://openalex.org/W6862448478","https://openalex.org/W6866741285","https://openalex.org/W6868917810"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4385583601","https://openalex.org/W4395685956","https://openalex.org/W3159516372","https://openalex.org/W4398146871","https://openalex.org/W4387803165"],"abstract_inverted_index":{"In":[0],"this":[1,112],"paper,":[2],"we":[3],"propose":[4],"a":[5,22,43,77,104],"lightweight":[6],"and":[7,29,66],"efficient":[8],"state-space":[9],"model-based":[10],"instance":[11,101],"segmentation":[12],"network":[13],"named":[14],"MambaInst,":[15],"which":[16],"extracts":[17],"deep":[18],"semantic":[19],"features":[20],"through":[21],"LightSSM":[23],"Block":[24],"consisting":[25],"of":[26,85,96],"gating":[27],"mechanisms":[28],"residual":[30],"connectivity":[31],"to":[32,49],"model":[33,64],"long-distance":[34],"spatial":[35],"dependencies":[36],"with":[37,81],"linear":[38],"computational":[39],"complexity.":[40],"We":[41],"design":[42],"novel":[44],"downsampling":[45],"method":[46],"called":[47],"FRDown":[48],"efficiently":[50],"capture":[51],"contextual":[52],"information,":[53],"thereby":[54],"improving":[55],"the":[56,89],"network\u2019s":[57],"local":[58],"information":[59],"perception.":[60],"With":[61],"its":[62],"excellent":[63],"architecture":[65],"simple":[67],"training":[68],"method,":[69],"MambaInst-B":[70],"achieves":[71],"40.8%":[72],"in":[73,99,111],"Mask":[74],"mAP":[75],"on":[76,88],"single":[78],"4090":[79],"GPU":[80],"an":[82],"inference":[83],"time":[84],"2.28":[86],"ms":[87],"COCO-seg.":[90],"Our":[91],"proposal":[92],"demonstrates":[93],"first":[94],"proof":[95],"SSM\u2019s":[97],"effectiveness":[98],"real-time":[100],"segmentation,":[102],"setting":[103],"new":[105],"performance":[106],"benchmark":[107],"for":[108],"Mamba-based":[109],"techniques":[110],"particular":[113],"application.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
