{"id":"https://openalex.org/W4405786243","doi":"https://doi.org/10.1109/iros58592.2024.10802637","title":"MOSFormer: A Transformer-based Multi-Modal Fusion Network for Moving Object Segmentation","display_name":"MOSFormer: A Transformer-based Multi-Modal Fusion Network for Moving Object Segmentation","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405786243","doi":"https://doi.org/10.1109/iros58592.2024.10802637"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10802637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10802637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5017831812","display_name":"Zenghui Cheng","orcid":"https://orcid.org/0000-0002-4553-7149"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zike Cheng","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075072473","display_name":"Hengwang Zhao","orcid":"https://orcid.org/0000-0003-3556-8029"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengwang Zhao","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088234813","display_name":"Qiyuan Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiyuan Shen","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076280527","display_name":"Weihao Yan","orcid":"https://orcid.org/0000-0002-7838-0790"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihao Yan","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048517656","display_name":"Chunxiang Wang","orcid":"https://orcid.org/0000-0002-6885-6740"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxiang Wang","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418319","display_name":"Ming\u2013Hsuan Yang","orcid":"https://orcid.org/0000-0003-4848-2304"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yang","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5017831812"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25013079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2618","last_page":"2623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9830999970436096,"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":0.9830999970436096,"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":0.9789999723434448,"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":0.9710000157356262,"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/modal","display_name":"Modal","score":0.632181704044342},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6068190932273865},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6023868918418884},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5858121514320374},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5826802849769592},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5593967437744141},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5239995718002319},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15337151288986206},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.1287027895450592},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10665139555931091},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08271968364715576}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.632181704044342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6068190932273865},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6023868918418884},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5858121514320374},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5826802849769592},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5593967437744141},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5239995718002319},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15337151288986206},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.1287027895450592},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10665139555931091},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08271968364715576},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros58592.2024.10802637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10802637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1973080743","https://openalex.org/W2560609797","https://openalex.org/W2990647556","https://openalex.org/W3035275207","https://openalex.org/W3035574168","https://openalex.org/W3120926185","https://openalex.org/W3129245057","https://openalex.org/W3138516171","https://openalex.org/W3152786524","https://openalex.org/W3161855852","https://openalex.org/W3186678659","https://openalex.org/W3206480303","https://openalex.org/W4283773122","https://openalex.org/W4285110186","https://openalex.org/W4285199148","https://openalex.org/W4312414163","https://openalex.org/W4312418574","https://openalex.org/W4312560592","https://openalex.org/W4386071758","https://openalex.org/W4389667053","https://openalex.org/W4390636204","https://openalex.org/W4390871794","https://openalex.org/W6739778489","https://openalex.org/W6776044926","https://openalex.org/W6856993178"],"related_works":["https://openalex.org/W2379392295","https://openalex.org/W3160965418","https://openalex.org/W4379231730","https://openalex.org/W613940353","https://openalex.org/W2320915480","https://openalex.org/W4389858081","https://openalex.org/W2099421762","https://openalex.org/W2362990116","https://openalex.org/W2381300099","https://openalex.org/W2530546662"],"abstract_inverted_index":{"3D":[0],"moving":[1,37,118],"object":[2],"segmentation":[3],"(MOS)":[4],"is":[5,100,111],"vital":[6],"for":[7,13],"autonomous":[8],"systems,":[9],"providing":[10],"essential":[11],"information":[12,105,110],"downstream":[14,143],"tasks":[15,144],"like":[16],"mapping":[17,134,147],"and":[18,39,72,82,86,132,148],"localization.":[19,149],"However,":[20],"current":[21],"MOS":[22,66,94],"methods":[23,47],"face":[24],"challenges":[25],"due":[26],"to":[27,102,113],"the":[28,45,52,59,78,115],"limitation":[29],"of":[30,54,117],"existing":[31],"datasets,":[32],"which":[33,68],"are":[34,48],"sparse":[35],"in":[36,41,142],"objects":[38],"limited":[40],"scene":[42],"diversity.":[43],"Meanwhile,":[44],"prevalent":[46],"projection-based,":[49],"struggling":[50],"with":[51,136],"challenge":[53],"blurred":[55],"boundaries.":[56],"To":[57,76],"tackle":[58],"dataset":[60],"issue,":[61],"we":[62,88],"introduce":[63],"a":[64,90,133],"nuScenes-based":[65],"dataset,":[67],"provides":[69],"richer":[70],"scenes":[71],"more":[73],"dynamic":[74],"instances.":[75],"alleviate":[77],"boundary":[79],"blur-ring":[80],"issue":[81],"further":[83],"improve":[84],"accuracy":[85],"generalizability,":[87],"propose":[89],"dual-branch":[91],"multimodal":[92],"fusion":[93],"network,":[95],"MOSFormer.":[96],"The":[97],"Transformer":[98],"structure":[99],"incorporated":[101],"extract":[103],"spatio-temporal":[104],"better,":[106],"while":[107],"image":[108],"semantic":[109],"utilized":[112],"refine":[114],"boundaries":[116],"objects.":[119],"Finally,":[120],"experiments":[121],"on":[122],"two":[123],"datasets":[124],"show":[125],"that":[126],"our":[127,137],"method":[128,138],"achieves":[129],"state-of-the-art":[130],"performance,":[131],"experiment":[135],"confirms":[139],"its":[140],"effectiveness":[141],"such":[145],"as":[146]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
