{"id":"https://openalex.org/W4394754159","doi":"https://doi.org/10.3390/s24082473","title":"Semantic Guidance Fusion Network for Cross-Modal Semantic Segmentation","display_name":"Semantic Guidance Fusion Network for Cross-Modal Semantic Segmentation","publication_year":2024,"publication_date":"2024-04-12","ids":{"openalex":"https://openalex.org/W4394754159","doi":"https://doi.org/10.3390/s24082473","pmid":"https://pubmed.ncbi.nlm.nih.gov/38676090"},"language":"en","primary_location":{"id":"doi:10.3390/s24082473","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24082473","pdf_url":"https://www.mdpi.com/1424-8220/24/8/2473/pdf?version=1712908788","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/8/2473/pdf?version=1712908788","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046128141","display_name":"Pan Zhang","orcid":"https://orcid.org/0009-0001-9691-9024"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Zhang","raw_affiliation_strings":["College of Information, Shanghai Ocean University, No. 999 Hucheng Ring Road, Shanghai 201306, China","College of Information, Shanghai Ocean University, No. 999 Hucheng Ring Road, Shanghai 201306, China;"],"affiliations":[{"raw_affiliation_string":"College of Information, Shanghai Ocean University, No. 999 Hucheng Ring Road, Shanghai 201306, China","institution_ids":["https://openalex.org/I44675526"]},{"raw_affiliation_string":"College of Information, Shanghai Ocean University, No. 999 Hucheng Ring Road, Shanghai 201306, China;","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002666071","display_name":"Ming Chen","orcid":"https://orcid.org/0000-0002-4393-6250"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Chen","raw_affiliation_strings":["College of Information, Shanghai Ocean University, No. 999 Hucheng Ring Road, Shanghai 201306, China","College of Information, Shanghai Ocean University, No. 999 Hucheng Ring Road, Shanghai 201306, China;"],"affiliations":[{"raw_affiliation_string":"College of Information, Shanghai Ocean University, No. 999 Hucheng Ring Road, Shanghai 201306, China","institution_ids":["https://openalex.org/I44675526"]},{"raw_affiliation_string":"College of Information, Shanghai Ocean University, No. 999 Hucheng Ring Road, Shanghai 201306, China;","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088836827","display_name":"Meng Gao","orcid":"https://orcid.org/0000-0002-5818-1639"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Gao","raw_affiliation_strings":["College of Information, Shanghai Ocean University, No. 999 Hucheng Ring Road, Shanghai 201306, China","College of Information, Shanghai Ocean University, No. 999 Hucheng Ring Road, Shanghai 201306, China;"],"affiliations":[{"raw_affiliation_string":"College of Information, Shanghai Ocean University, No. 999 Hucheng Ring Road, Shanghai 201306, China","institution_ids":["https://openalex.org/I44675526"]},{"raw_affiliation_string":"College of Information, Shanghai Ocean University, No. 999 Hucheng Ring Road, Shanghai 201306, China;","institution_ids":["https://openalex.org/I44675526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002666071"],"corresponding_institution_ids":["https://openalex.org/I44675526"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.3082,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80337572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"24","issue":"8","first_page":"2473","last_page":"2473"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973000288009644,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7730833888053894},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6600612998008728},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6060155630111694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5560537576675415},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5304094552993774},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5007028579711914},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4479024410247803},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.441109836101532},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4259444773197174},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41043365001678467},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34919869899749756},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3449018597602844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7730833888053894},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6600612998008728},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6060155630111694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5560537576675415},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5304094552993774},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5007028579711914},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4479024410247803},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.441109836101532},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4259444773197174},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41043365001678467},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34919869899749756},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3449018597602844},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24082473","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24082473","pdf_url":"https://www.mdpi.com/1424-8220/24/8/2473/pdf?version=1712908788","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38676090","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38676090","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11053727","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11053727","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11053727/pdf/sensors-24-02473.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:824aab2f5028458db1cd3b72261adf36","is_oa":true,"landing_page_url":"https://doaj.org/article/824aab2f5028458db1cd3b72261adf36","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 8, p 2473 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24082473","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24082473","pdf_url":"https://www.mdpi.com/1424-8220/24/8/2473/pdf?version=1712908788","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"},{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4394754159.pdf"},"referenced_works_count":87,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1565402342","https://openalex.org/W1832145327","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923184257","https://openalex.org/W2067912884","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2485522583","https://openalex.org/W2560023338","https://openalex.org/W2587989515","https://openalex.org/W2592939477","https://openalex.org/W2762439315","https://openalex.org/W2768755822","https://openalex.org/W2774839435","https://openalex.org/W2776622059","https://openalex.org/W2798441115","https://openalex.org/W2884822772","https://openalex.org/W2895340641","https://openalex.org/W2914872565","https://openalex.org/W2921749009","https://openalex.org/W2955058313","https://openalex.org/W2956887593","https://openalex.org/W2959581809","https://openalex.org/W2963419596","https://openalex.org/W2963551763","https://openalex.org/W2964309882","https://openalex.org/W2965867763","https://openalex.org/W2971014764","https://openalex.org/W2981689412","https://openalex.org/W2989684653","https://openalex.org/W2991471181","https://openalex.org/W3014641072","https://openalex.org/W3015871565","https://openalex.org/W3034233533","https://openalex.org/W3035459165","https://openalex.org/W3042173136","https://openalex.org/W3069056889","https://openalex.org/W3091001089","https://openalex.org/W3094861582","https://openalex.org/W3096653763","https://openalex.org/W3099155473","https://openalex.org/W3108601100","https://openalex.org/W3110089052","https://openalex.org/W3124434019","https://openalex.org/W3125553402","https://openalex.org/W3131500599","https://openalex.org/W3137799923","https://openalex.org/W3138511503","https://openalex.org/W3164543136","https://openalex.org/W3166016280","https://openalex.org/W3188354902","https://openalex.org/W3194841206","https://openalex.org/W3198062544","https://openalex.org/W3206439726","https://openalex.org/W3207537403","https://openalex.org/W3209412357","https://openalex.org/W3211490618","https://openalex.org/W3213792864","https://openalex.org/W3217020749","https://openalex.org/W4200630704","https://openalex.org/W4214520160","https://openalex.org/W4214774769","https://openalex.org/W4226086539","https://openalex.org/W4284892523","https://openalex.org/W4285134614","https://openalex.org/W4286565909","https://openalex.org/W4293087434","https://openalex.org/W4312630041","https://openalex.org/W4312726009","https://openalex.org/W4312781440","https://openalex.org/W4312866343","https://openalex.org/W4318829201","https://openalex.org/W4319452130","https://openalex.org/W4384519183","https://openalex.org/W4386065698","https://openalex.org/W4386066444","https://openalex.org/W4386179772","https://openalex.org/W4391769355","https://openalex.org/W6678794926","https://openalex.org/W6682889407","https://openalex.org/W6797399245","https://openalex.org/W6849351960"],"related_works":["https://openalex.org/W2185469136","https://openalex.org/W2011264131","https://openalex.org/W3162204513","https://openalex.org/W4306353150","https://openalex.org/W2026860389","https://openalex.org/W8219677","https://openalex.org/W3216879894","https://openalex.org/W4301143707","https://openalex.org/W2952745240","https://openalex.org/W2941608206"],"abstract_inverted_index":{"Leveraging":[0],"data":[1,103],"from":[2,104],"various":[3],"modalities":[4],"to":[5,19,84,98,134,158],"enhance":[6],"multimodal":[7],"segmentation":[8],"tasks":[9],"is":[10,60,156],"a":[11,38,69,78,91,153],"well-regarded":[12],"approach.":[13],"Recently,":[14],"efforts":[15],"have":[16],"been":[17],"made":[18],"incorporate":[20],"an":[21,61],"array":[22],"of":[23,34,72,130,148],"modalities,":[24],"including":[25],"depth":[26],"and":[27,101,119,127],"thermal":[28],"imaging.":[29],"Nevertheless,":[30],"the":[31,41,53,75,112,124,131,135,143,146,159],"effective":[32],"amalgamation":[33],"cross-modal":[35,63],"interactions":[36],"remains":[37],"challenge,":[39],"given":[40],"unique":[42],"traits":[43],"each":[44],"modality":[45],"presents.":[46],"In":[47],"our":[48,149],"current":[49,136],"research,":[50],"we":[51],"introduce":[52],"semantic":[54,79,93],"guidance":[55,80,94],"fusion":[56,64],"network":[57,65],"(SGFN),":[58],"which":[59],"innovative":[62],"adept":[66],"at":[67],"integrating":[68],"diverse":[70],"set":[71],"modalities.":[73,106],"Particularly,":[74],"SGFN":[76,132,151],"features":[77],"module":[81],"(SGM)":[82],"engineered":[83],"boost":[85],"bi-modal":[86,150],"feature":[87],"extraction.":[88],"It":[89],"encompasses":[90],"learnable":[92],"convolution":[95],"(SGC)":[96],"designed":[97],"merge":[99],"intensity":[100],"gradient":[102],"disparate":[105],"Comprehensive":[107],"experiments":[108],"carried":[109],"out":[110],"on":[111,142],"NYU":[113],"Depth":[114],"V2,":[115],"SUN-RGBD,":[116],"Cityscapes,":[117],"MFNet,":[118],"ZJU":[120],"datasets":[121],"underscore":[122],"both":[123],"superior":[125],"performance":[126],"generalization":[128],"ability":[129],"compared":[133],"leading":[137,161],"models.":[138],"Moreover,":[139],"when":[140],"tested":[141],"DELIVER":[144],"dataset,":[145],"efficiency":[147],"displayed":[152],"mIoU":[154],"that":[155],"comparable":[157],"hitherto":[160],"model,":[162],"CMNEXT.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-08T08:50:53.379069","created_date":"2025-10-10T00:00:00"}