{"id":"https://openalex.org/W3038020296","doi":"https://doi.org/10.1109/tim.2020.3004902","title":"Semantic Image Segmentation With Propagating Deep Aggregation","display_name":"Semantic Image Segmentation With Propagating Deep Aggregation","publication_year":2020,"publication_date":"2020-06-25","ids":{"openalex":"https://openalex.org/W3038020296","doi":"https://doi.org/10.1109/tim.2020.3004902","mag":"3038020296"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2020.3004902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3004902","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5065835586","display_name":"Jian Ji","orcid":"https://orcid.org/0000-0001-6427-6725"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Ji","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, China","School of Computer Science and Technology, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-6427-6725","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005401651","display_name":"Sitong Li","orcid":"https://orcid.org/0000-0002-2950-0047"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sitong Li","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, China","School of Computer Science and Technology, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-2950-0047","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101487137","display_name":"Jian Xiong","orcid":"https://orcid.org/0000-0002-9540-9479"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Xiong","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, China","School of Computer Science and Technology, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-9540-9479","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025643309","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0002-1669-0013"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Chen","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, China","School of Computer Science and Technology, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1669-0013","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":null,"display_name":"Qiguang Miao","orcid":"https://orcid.org/0000-0001-6766-8310"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiguang Miao","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, China","School of Computer Science and Technology, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-6766-8310","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.15,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.80801979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"69","issue":"12","first_page":"9732","last_page":"9742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991000294685364,"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/pascal","display_name":"Pascal (unit)","score":0.913994312286377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7610093355178833},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5549083948135376},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4795612692832947},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44129934906959534},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4411422908306122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4365687966346741},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4321078658103943},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4234338104724884},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4220591187477112},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.41000908613204956},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40387794375419617},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3311411142349243},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08189511299133301}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.913994312286377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7610093355178833},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5549083948135376},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4795612692832947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44129934906959534},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4411422908306122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4365687966346741},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4321078658103943},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4234338104724884},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4220591187477112},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.41000908613204956},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40387794375419617},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3311411142349243},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08189511299133301},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2020.3004902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3004902","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1546771929","https://openalex.org/W1686810756","https://openalex.org/W1817277359","https://openalex.org/W1849277567","https://openalex.org/W1901129140","https://openalex.org/W1905829557","https://openalex.org/W1923697677","https://openalex.org/W1938976761","https://openalex.org/W2037227137","https://openalex.org/W2104408738","https://openalex.org/W2125215748","https://openalex.org/W2131006320","https://openalex.org/W2151939106","https://openalex.org/W2155893237","https://openalex.org/W2162915993","https://openalex.org/W2302255633","https://openalex.org/W2395611524","https://openalex.org/W2404464147","https://openalex.org/W2412782625","https://openalex.org/W2507296351","https://openalex.org/W2519537448","https://openalex.org/W2549139847","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2600144439","https://openalex.org/W2606004785","https://openalex.org/W2749005792","https://openalex.org/W2793980114","https://openalex.org/W2885736666","https://openalex.org/W2912634210","https://openalex.org/W2962957359","https://openalex.org/W2963323244","https://openalex.org/W2963840672","https://openalex.org/W2966689332","https://openalex.org/W2970213471","https://openalex.org/W4300336863","https://openalex.org/W6637373629","https://openalex.org/W6638480814","https://openalex.org/W6639204139","https://openalex.org/W6639824700","https://openalex.org/W6640295612","https://openalex.org/W6696085341","https://openalex.org/W6698183232","https://openalex.org/W6743070423","https://openalex.org/W6764062975"],"related_works":["https://openalex.org/W1663079876","https://openalex.org/W2069133146","https://openalex.org/W2017545316","https://openalex.org/W2100576949","https://openalex.org/W2793666424","https://openalex.org/W2493838176","https://openalex.org/W4297686120","https://openalex.org/W3185156046","https://openalex.org/W2922305141","https://openalex.org/W2296466480"],"abstract_inverted_index":{"In":[0,42,80],"this":[1,43],"article,":[2],"we":[3],"propose":[4],"a":[5,57],"new":[6,58,67],"architecture":[7],"of":[8,22,40,113],"feature":[9,64,85],"aggregation,":[10],"which":[11],"is":[12,35,49],"designed":[13],"to":[14,55,76,104],"deal":[15],"with":[16,63],"the":[17,20,31,38,52,77,92,106,111,114,118,125,141,148,159],"problem":[18],"that":[19],"information":[21,34],"each":[23],"convolutional":[24],"layer":[25,33],"cannot":[26],"be":[27,70,89,100],"used":[28],"reasonably":[29],"and":[30,91,102,124,138,154],"shallow":[32],"lost":[36],"in":[37],"process":[39],"transmission.":[41],"method,":[44],"propagating":[45],"deep":[46],"aggregation":[47,95],"(PDA)":[48],"transplanted":[50],"into":[51,72],"DeepLab-ASPP":[53],"model":[54,59,68,116],"generate":[56],"combining":[60],"structural":[61],"continuity":[62],"aggregation.":[65],"This":[66],"can":[69,88,99],"divided":[71],"several":[73],"stages":[74,98],"according":[75],"output":[78],"resolution.":[79],"these":[81],"stages,":[82],"more":[83],"possible":[84],"fusion":[86],"combinations":[87],"realized,":[90],"result":[93],"from":[94],"propagated":[96],"among":[97],"optimized":[101],"updated":[103],"get":[105],"best":[107],"results.":[108],"We":[109],"demonstrate":[110],"effectiveness":[112],"proposed":[115],"on":[117,134,147,158],"PASCAL":[119,149],"VOC":[120,150],"2012":[121,151],"data":[122,127,152,161],"set":[123,153],"PASCAL-Context":[126,160],"set.":[128,162],"Our":[129],"method":[130],"achieves":[131],"state-of-the-art":[132],"performance":[133],"two":[135],"public":[136],"benchmarks":[137],"significantly":[139],"outperforms":[140],"previous":[142],"results,":[143],"78.8%":[144],"(versus":[145,156],"62.4%)":[146],"46.2%":[155],"37.8%)":[157]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}