{"id":"https://openalex.org/W4387967911","doi":"https://doi.org/10.1145/3581783.3612288","title":"Automatic Network Architecture Search for RGB-D Semantic Segmentation","display_name":"Automatic Network Architecture Search for RGB-D Semantic Segmentation","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387967911","doi":"https://doi.org/10.1145/3581783.3612288"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612288","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5102768964","display_name":"Wenna Wang","orcid":"https://orcid.org/0009-0005-1387-1256"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenna Wang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0005-1387-1256","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093130595","display_name":"Tao Zhuo","orcid":"https://orcid.org/0000-0003-4854-8772"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhuo","raw_affiliation_strings":["Shandong Artificial Intelligence Institute, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-4854-8772","affiliations":[{"raw_affiliation_string":"Shandong Artificial Intelligence Institute, Jinan, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040327019","display_name":"Xiuwei Zhang","orcid":"https://orcid.org/0000-0001-7230-1476"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuwei Zhang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-7230-1476","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082023137","display_name":"Mingjun Sun","orcid":"https://orcid.org/0009-0008-1361-6185"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjun Sun","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0008-1361-6185","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058010615","display_name":"Hanlin Yin","orcid":"https://orcid.org/0000-0002-1086-2873"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanlin Yin","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1086-2873","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089584286","display_name":"Yinghui Xing","orcid":"https://orcid.org/0000-0001-6021-8261"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghui Xing","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-6021-8261","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028235866","display_name":"Yanning Zhang","orcid":"https://orcid.org/0000-0002-2977-8057"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Zhang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-2977-8057","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6737,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71892793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3777","last_page":"3786"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994999766349792,"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":0.8165973424911499},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7022384405136108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6315885186195374},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5870236754417419},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5728254318237305},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5158166289329529},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.5063241720199585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4254888892173767},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4153429865837097},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3683629035949707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8165973424911499},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7022384405136108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6315885186195374},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5870236754417419},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5728254318237305},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5158166289329529},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.5063241720199585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4254888892173767},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4153429865837097},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3683629035949707},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612288","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.550000011920929,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1584941972","display_name":null,"funder_award_id":"62201467","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4492108700","display_name":null,"funder_award_id":"Grants 61971356, 62002188, U19B2037, 62201467","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4521256747","display_name":null,"funder_award_id":"2021KWZ-03","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G4568926294","display_name":null,"funder_award_id":"U19B2037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6288747419","display_name":null,"funder_award_id":"62002188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6899861802","display_name":"\u57fa\u4e8e\u591a\u6e90\u9065\u611f\u56fe\u50cf\u7684\u4e0d\u89c4\u5219\u5f62\u6001\u76ee\u6807\u534f\u540c\u8bed\u4e49\u5206\u5272\u7814\u7a76","funder_award_id":"61971356","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7603402184","display_name":null,"funder_award_id":"2022JQ-686","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G7819260696","display_name":null,"funder_award_id":"2022JQ","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1923184257","https://openalex.org/W2194775991","https://openalex.org/W2798441115","https://openalex.org/W2959581809","https://openalex.org/W2960933010","https://openalex.org/W2962850006","https://openalex.org/W2963136578","https://openalex.org/W2964309882","https://openalex.org/W2971014764","https://openalex.org/W2971298073","https://openalex.org/W3003864320","https://openalex.org/W3015871565","https://openalex.org/W3034202788","https://openalex.org/W3035276179","https://openalex.org/W3092767330","https://openalex.org/W3093327960","https://openalex.org/W3097660860","https://openalex.org/W3108601100","https://openalex.org/W3124434019","https://openalex.org/W3129840128","https://openalex.org/W3137799923","https://openalex.org/W3152844947","https://openalex.org/W3167017747","https://openalex.org/W3173882198","https://openalex.org/W3176295548","https://openalex.org/W3192682950","https://openalex.org/W3194841206","https://openalex.org/W3207537403","https://openalex.org/W3209828932","https://openalex.org/W3217020749","https://openalex.org/W4205817612","https://openalex.org/W4213072690","https://openalex.org/W4255158661","https://openalex.org/W4281606845","https://openalex.org/W4289886545","https://openalex.org/W4293037424","https://openalex.org/W4293087434","https://openalex.org/W4298326888","https://openalex.org/W4301409532","https://openalex.org/W4313142416","https://openalex.org/W6600669965"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W4205302943","https://openalex.org/W2119949815","https://openalex.org/W2561132942","https://openalex.org/W2142795561","https://openalex.org/W3155418658","https://openalex.org/W2379948177","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Recent":[0],"RGB-D":[1],"semantic":[2],"segmentation":[3,85],"networks":[4],"are":[5],"usually":[6],"manually":[7],"designed.":[8],"However,":[9],"due":[10],"to":[11],"limited":[12],"human":[13],"efforts":[14],"and":[15,52,72,81,149],"time":[16],"costs,":[17],"their":[18],"performance":[19],"might":[20],"be":[21],"inferior":[22],"for":[23,88],"complex":[24],"scenarios.":[25],"To":[26],"address":[27],"this":[28],"issue,":[29],"we":[30,92],"propose":[31],"the":[32,41,45,79,83,114,130,134,145,152],"first":[33],"Neural":[34],"Architecture":[35],"Search":[36],"(NAS)":[37],"method":[38,132],"that":[39,129],"designs":[40],"network":[42,47,90,115],"automatically.":[43],"Specifically,":[44],"target":[46],"consists":[48],"of":[49,142],"an":[50,109],"encoder":[51,56],"a":[53,94,101,139],"decoder.":[54],"The":[55,76],"is":[57,121],"designed":[58],"with":[59,100,117],"two":[60,126],"independent":[61],"branches,":[62],"where":[63],"each":[64],"branch":[65],"specializes":[66],"in":[67],"extracting":[68],"features":[69,80],"from":[70],"RGB":[71],"depth":[73],"images,":[74],"respectively.":[75],"decoder":[77],"fuses":[78],"generates":[82],"final":[84],"result.":[86],"Besides,":[87],"automatic":[89],"design,":[91],"design":[93],"grid-like":[95],"network-level":[96],"search":[97,104,112],"space":[98],"combined":[99],"hierarchical":[102,118],"cell-level":[103],"space.":[105],"By":[106],"further":[107],"developing":[108],"effective":[110],"gradient-based":[111],"strategy,":[113],"structure":[116],"cell":[119],"architectures":[120],"discovered.":[122],"Extensive":[123],"results":[124],"on":[125,144,151],"datasets":[127],"show":[128],"proposed":[131],"outperforms":[133],"state-of-the-art":[135],"approaches,":[136],"which":[137],"achieves":[138],"mIoU":[140],"score":[141],"55.1%":[143],"NYU-Depth":[146],"v2":[147],"dataset":[148],"50.3%":[150],"SUN-RGBD":[153],"dataset.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}