{"id":"https://openalex.org/W7163184721","doi":"https://doi.org/10.3837/tiis.2026.05.014","title":"DMRINet: a Lightweight Real-Time Semantic Segmentation Network for Unstructured Terrain Segmentation Tasks","display_name":"DMRINet: a Lightweight Real-Time Semantic Segmentation Network for Unstructured Terrain Segmentation Tasks","publication_year":2026,"publication_date":"2026-05-31","ids":{"openalex":"https://openalex.org/W7163184721","doi":"https://doi.org/10.3837/tiis.2026.05.014"},"language":null,"primary_location":{"id":"doi:10.3837/tiis.2026.05.014","is_oa":true,"landing_page_url":"https://doi.org/10.3837/tiis.2026.05.014","pdf_url":"https://itiis.org/digital-library/manuscript/file/107368/TIIS Vol 20, No 5-14.pdf","source":{"id":"https://openalex.org/S204131793","display_name":"KSII Transactions on Internet and Information Systems","issn_l":"1976-7277","issn":["1976-7277","2288-1468"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4323966148","host_organization_name":"Korea Society of Internet Information","host_organization_lineage":["https://openalex.org/P4323966148"],"host_organization_lineage_names":["Korea Society of Internet Information"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KSII Transactions on Internet and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://itiis.org/digital-library/manuscript/file/107368/TIIS Vol 20, No 5-14.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137702097","display_name":"Haoran Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haoran Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137669549","display_name":"Botao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Botao Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137636756","display_name":"Jing Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137701046","display_name":"Yun Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137669171","display_name":"Qiang Lu","orcid":"https://orcid.org/0000-0002-4340-1803"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiang Lu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69726793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.2542000114917755,"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":0.2542000114917755,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.05849999934434891,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.04699999839067459,"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/segmentation","display_name":"Segmentation","score":0.7303000092506409},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.47380000352859497},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.4643000066280365},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42980000376701355},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.3490000069141388}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.949400007724762},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7303000092506409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6607999801635742},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5758000016212463},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.47380000352859497},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.4643000066280365},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42980000376701355},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.3490000069141388},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3837/tiis.2026.05.014","is_oa":true,"landing_page_url":"https://doi.org/10.3837/tiis.2026.05.014","pdf_url":"https://itiis.org/digital-library/manuscript/file/107368/TIIS Vol 20, No 5-14.pdf","source":{"id":"https://openalex.org/S204131793","display_name":"KSII Transactions on Internet and Information Systems","issn_l":"1976-7277","issn":["1976-7277","2288-1468"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4323966148","host_organization_name":"Korea Society of Internet Information","host_organization_lineage":["https://openalex.org/P4323966148"],"host_organization_lineage_names":["Korea Society of Internet Information"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KSII Transactions on Internet and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3837/tiis.2026.05.014","is_oa":true,"landing_page_url":"https://doi.org/10.3837/tiis.2026.05.014","pdf_url":"https://itiis.org/digital-library/manuscript/file/107368/TIIS Vol 20, No 5-14.pdf","source":{"id":"https://openalex.org/S204131793","display_name":"KSII Transactions on Internet and Information Systems","issn_l":"1976-7277","issn":["1976-7277","2288-1468"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4323966148","host_organization_name":"Korea Society of Internet Information","host_organization_lineage":["https://openalex.org/P4323966148"],"host_organization_lineage_names":["Korea Society of Internet Information"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KSII Transactions on Internet and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4929461957","display_name":null,"funder_award_id":"U22A2044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8568475463","display_name":null,"funder_award_id":"62073108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7163184721.pdf","grobid_xml":"https://content.openalex.org/works/W7163184721.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"high-precision":[1],"semantic":[2,27,58],"map":[3],"that":[4,132],"integrates":[5],"environmental":[6],"spatial":[7],"information":[8,76],"and":[9,78,98,108,138,145,153],"terrain":[10,105,129],"category":[11],"semantics":[12],"constitutes":[13],"a":[14,35,57,65,79,117],"key":[15],"technology":[16],"for":[17,50,68,75,82,156],"the":[18,41,114,133],"navigation":[19],"of":[20,123],"field":[21,51,160],"robots":[22],"in":[23,29,44,158],"unstructured":[24,30,128],"environments.Accurate":[25],"real-time":[26],"segmentation":[28,59,96],"outdoor":[31],"environments":[32],"is":[33],"still":[34],"fundamentally":[36],"challenging":[37],"issue,":[38],"despite":[39],"all":[40],"recent":[42],"advancements":[43],"this":[45,48,53,86],"field.To":[46],"address":[47],"problem":[49],"robots,":[52],"research":[54],"proposed":[55,134],"DMRINet,":[56],"network":[60,87],"appropriate":[61],"to":[62,103],"embedded":[63],"platforms.With":[64],"backbone":[66],"branch":[67,74,81],"global":[69],"feature":[70],"extraction,":[71],"an":[72,89],"interactive":[73],"supplementation,":[77],"residual":[80],"local":[83],"detail":[84],"compensation,":[85],"employs":[88],"\"encoding-decodingparallel":[90],"interaction\"":[91],"architecture.It":[92],"can":[93],"effectively":[94],"balance":[95],"accuracy":[97,137],"inference":[99,148],"speed":[100],"while":[101],"adapting":[102],"complicated":[104],"scenarios.Finally,":[106],"ablation":[107],"comparison":[109],"analysis":[110],"was":[111],"performed":[112],"using":[113],"HDU-Terrain":[115],"dataset,":[116],"robot-perspective":[118],"dataset":[119],"with":[120],"4,000":[121],"frames":[122],"pixel-level":[124],"annotations":[125],"across":[126],"several":[127],"types.Results":[130],"show":[131],"DMRINet":[135],"balances":[136],"speed,":[139,149],"achieving":[140],"87.4%":[141],"mIoU,":[142],"91.84%":[143],"mPA,":[144],"48.79":[146],"FPS":[147],"outperforming":[150],"comparative":[151],"models":[152],"demonstrating":[154],"potential":[155],"application":[157],"diverse":[159],"robots.":[161]},"counts_by_year":[],"updated_date":"2026-06-04T06:14:18.571774","created_date":"2026-06-03T00:00:00"}
