{"id":"https://openalex.org/W2966401131","doi":"https://doi.org/10.24963/ijcai.2019/110","title":"Dynamic Feature Fusion for Semantic Edge Detection","display_name":"Dynamic Feature Fusion for Semantic Edge Detection","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2966401131","doi":"https://doi.org/10.24963/ijcai.2019/110","mag":"2966401131"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/110","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/110","pdf_url":"https://www.ijcai.org/proceedings/2019/0110.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0110.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021587155","display_name":"Yuan Hu","orcid":"https://orcid.org/0000-0002-1799-6524"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Hu","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, CAS, Beijing 100094, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, CAS, Beijing 100094, China","institution_ids":["https://openalex.org/I4210128053"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029978692","display_name":"Yunpeng Chen","orcid":"https://orcid.org/0000-0002-9830-8980"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yunpeng Chen","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109374705","display_name":"Li Xiang","orcid":"https://orcid.org/0000-0002-9946-7000"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, CAS, Beijing 100094, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, CAS, Beijing 100094, China","institution_ids":["https://openalex.org/I4210128053"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100668696","display_name":"Jiashi Feng","orcid":"https://orcid.org/0000-0001-6843-0064"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiashi Feng","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.843,"has_fulltext":false,"cited_by_count":95,"citation_normalized_percentile":{"value":0.95260772,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"782","last_page":"788"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9983000159263611,"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":0.9970999956130981,"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":0.7049752473831177},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6876729726791382},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6318820714950562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6278705596923828},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5981640815734863},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.580893337726593},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5627341270446777},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5065394639968872},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.42409563064575195},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4197213649749756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3246076703071594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18449199199676514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7049752473831177},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6876729726791382},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6318820714950562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6278705596923828},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5981640815734863},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.580893337726593},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5627341270446777},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5065394639968872},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.42409563064575195},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4197213649749756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3246076703071594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18449199199676514},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/110","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/110","pdf_url":"https://www.ijcai.org/proceedings/2019/0110.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/110","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/110","pdf_url":"https://www.ijcai.org/proceedings/2019/0110.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966401131.pdf","grobid_xml":"https://content.openalex.org/works/W2966401131.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1539790486","https://openalex.org/W1836465849","https://openalex.org/W2144794286","https://openalex.org/W2194775991","https://openalex.org/W2266390837","https://openalex.org/W2340897893","https://openalex.org/W2474152637","https://openalex.org/W2483076098","https://openalex.org/W2565639579","https://openalex.org/W2591692311","https://openalex.org/W2607333215","https://openalex.org/W2883596444","https://openalex.org/W2885139206","https://openalex.org/W2899771611","https://openalex.org/W2953133772","https://openalex.org/W2962926870","https://openalex.org/W2963307106","https://openalex.org/W2963727650","https://openalex.org/W2963840672","https://openalex.org/W3106250896","https://openalex.org/W3216325077","https://openalex.org/W4239072543","https://openalex.org/W4241071816","https://openalex.org/W4308909683"],"related_works":["https://openalex.org/W2099421762","https://openalex.org/W2530546662","https://openalex.org/W2967030268","https://openalex.org/W2185253430","https://openalex.org/W4210345652","https://openalex.org/W1984333081","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Features":[0],"from":[1],"multiple":[2],"scales":[3],"can":[4,128],"greatly":[5],"benefit":[6],"the":[7,18,39,103,108,114,148,161],"semantic":[8,20],"edge":[9,21,140],"detection":[10,22],"task":[11],"if":[12],"they":[13],"are":[14,35],"well":[15,182],"fused.":[16],"However,":[17],"prevalent":[19],"methods":[23,184],"apply":[24],"a":[25,65,87],"fixed":[26,156],"weight":[27,89,157,164],"fusion":[28,45,69,74,94,152,158,165],"strategy":[29,70],"where":[30],"images":[31,49,79,127],"with":[32,147],"different":[33,55,73,77,120],"semantics":[34,56],"forced":[36],"to":[37,91,155],"share":[38],"same":[40],"weights,":[41],"resulting":[42],"in":[43,116],"universal":[44],"weights":[46,75,95],"for":[47,76,99],"all":[48,180],"and":[50,80,125,132,138,159,173,185],"locations":[51,81,121],"regardless":[52],"of":[53,102,122],"their":[54],"or":[57],"local":[58],"context.":[59],"In":[60,111,175],"this":[61,112],"work,":[62],"we":[63],"propose":[64],"novel":[66,149],"dynamic":[67,150],"feature":[68,104,123,151],"that":[71,144],"assigns":[72],"input":[78,126],"adaptively.":[82],"This":[83],"is":[84,153],"achieved":[85],"by":[86,119],"proposed":[88],"learner":[90],"infer":[92],"proper":[93],"over":[96],"multi-level":[97],"features":[98],"each":[100],"location":[101],"map,":[105],"conditioned":[106],"on":[107,170],"specific":[109],"input.":[110],"way,":[113],"heterogeneity":[115],"contributions":[117],"made":[118],"maps":[124],"be":[129],"better":[130],"considered":[131],"thus":[133],"help":[134],"produce":[135],"more":[136],"accurate":[137],"sharper":[139],"predictions.":[141],"We":[142],"show":[143],"our":[145,177],"model":[146],"superior":[154],"also":[160],"na\\\"ive":[162],"location-invariant":[163],"methods,":[166],"via":[167],"comprehensive":[168],"experiments":[169],"benchmarks":[171],"Cityscapes":[172],"SBD.":[174],"particular,":[176],"method":[178],"outperforms":[179],"existing":[181],"established":[183],"achieves":[186],"new":[187],"state-of-the-art.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
