{"id":"https://openalex.org/W7138405106","doi":"https://doi.org/10.1609/aaai.v40i6.42427","title":"MambaSeg: Harnessing Mamba for Accurate and Efficient Image-Event Semantic Segmentation","display_name":"MambaSeg: Harnessing Mamba for Accurate and Efficient Image-Event Semantic Segmentation","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138405106","doi":"https://doi.org/10.1609/aaai.v40i6.42427"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i6.42427","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i6.42427","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i6.42427","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129649870","display_name":"Fuqiang Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fuqiang Gu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121791541","display_name":"Yuanke Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuanke Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008281642","display_name":"Xianlei Long","orcid":"https://orcid.org/0000-0002-2623-8768"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xianlei Long","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113790317","display_name":"Kangping Ji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kangping Ji","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129697602","display_name":"Chao Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129741067","display_name":"Qingyi Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qingyi Gu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5121823892","display_name":"Zhenliang Ni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenliang Ni","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5129649870"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7972973,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"6","first_page":"4302","last_page":"4310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.46779999136924744,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.46779999136924744,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.39079999923706055,"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/T13382","display_name":"Robotics and Automated Systems","score":0.009499999694526196,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7387999892234802},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6190999746322632},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6151999831199646},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5544000267982483},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4449000060558319},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.44290000200271606},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4381999969482422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8219000101089478},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7387999892234802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6636000275611877},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6190999746322632},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6151999831199646},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5544000267982483},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4821999967098236},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4449000060558319},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.44290000200271606},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4381999969482422},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.37610000371932983},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3659999966621399},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3601999878883362},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.2953000068664551},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2669000029563904}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i6.42427","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i6.42427","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i6.42427","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i6.42427","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,115,192],"is":[2],"a":[3,111,142,148],"fundamental":[4],"task":[5],"in":[6,102],"computer":[7],"vision":[8],"with":[9,24],"wide-ranging":[10],"applications,":[11],"including":[12],"autonomous":[13],"driving":[14],"and":[15,26,56,62,81,91,127,147,161,171,184,205],"robotics.":[16],"While":[17],"RGB-based":[18],"methods":[19],"have":[20],"achieved":[21],"strong":[22],"performance":[23,193],"CNNs":[25],"Transformers,":[27],"their":[28,68],"effectiveness":[29],"degrades":[30],"under":[31],"fast":[32],"motion,":[33],"low-light,":[34],"or":[35],"high":[36,53],"dynamic":[37],"range":[38],"conditions":[39],"due":[40],"to":[41,122],"limitations":[42],"of":[43,79,176],"frame":[44],"cameras.":[45],"Event":[46],"cameras":[47],"offer":[48],"complementary":[49,174],"advantages":[50],"such":[51],"as":[52],"temporal":[54,99,162],"resolution":[55],"low":[57],"latency,":[58],"yet":[59],"lack":[60],"color":[61],"texture,":[63],"making":[64],"them":[65],"insufficient":[66],"on":[67,94,181],"own.":[69],"To":[70,130],"address":[71],"this,":[72],"recent":[73],"research":[74],"has":[75],"explored":[76],"multimodal":[77,207],"fusion":[78,157],"RGB":[80,125],"event":[82,103,128],"data;":[83],"however,":[84],"many":[85],"existing":[86],"approaches":[87],"are":[88],"computationally":[89],"expensive":[90],"focus":[92],"primarily":[93],"spatial":[95,160],"fusion,":[96],"neglecting":[97],"the":[98,136,173,182],"dynamics":[100],"inherent":[101],"streams.":[104,129],"In":[105],"this":[106],"work,":[107],"we":[108,134],"propose":[109],"MambaSeg,":[110],"novel":[112],"dual-branch":[113],"semantic":[114],"framework":[116],"that":[117,188],"employs":[118],"parallel":[119],"Mamba":[120],"encoders":[121],"efficiently":[123],"model":[124],"images":[126],"reduce":[131],"cross-modal":[132,167],"ambiguity,":[133,170],"introduce":[135],"Dual-Dimensional":[137],"Interaction":[138,144,150],"Module":[139,145,151],"(DDIM),":[140],"comprising":[141],"Cross-Spatial":[143],"(CSIM)":[146],"Cross-Temporal":[149],"(CTIM),":[152],"which":[153],"jointly":[154],"perform":[155],"fine-grained":[156],"along":[158],"both":[159],"dimensions.":[163],"This":[164],"design":[165],"improves":[166],"alignment,":[168],"reduces":[169],"leverages":[172],"properties":[175],"each":[177],"modality.":[178],"Extensive":[179],"experiments":[180],"DDD17":[183],"DSEC":[185],"datasets":[186],"demonstrate":[187],"MambaSeg":[189],"achieves":[190],"state-of-the-art":[191],"while":[194],"significantly":[195],"reducing":[196],"computational":[197],"cost,":[198],"showcasing":[199],"its":[200],"promise":[201],"for":[202],"efficient,":[203],"scalable,":[204],"robust":[206],"perception.":[208]},"counts_by_year":[],"updated_date":"2026-03-18T06:31:55.123368","created_date":"2026-03-18T00:00:00"}