{"id":"https://openalex.org/W4312664986","doi":"https://doi.org/10.1109/tetci.2022.3220250","title":"PSNet: Parallel Symmetric Network for Video Salient Object Detection","display_name":"PSNet: Parallel Symmetric Network for Video Salient Object Detection","publication_year":2022,"publication_date":"2022-11-18","ids":{"openalex":"https://openalex.org/W4312664986","doi":"https://doi.org/10.1109/tetci.2022.3220250"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2022.3220250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2022.3220250","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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/A5091558139","display_name":"Runmin Cong","orcid":"https://orcid.org/0000-0003-0972-4008"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Runmin Cong","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-0972-4008","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100609470","display_name":"Weiyu Song","orcid":"https://orcid.org/0009-0007-6257-3831"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyu Song","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081490093","display_name":"Jianjun Lei","orcid":"https://orcid.org/0000-0003-3171-7680"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Lei","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-3171-7680","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030883042","display_name":"Guanghui Yue","orcid":"https://orcid.org/0000-0002-6761-8767"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Yue","raw_affiliation_strings":["National, regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6761-8767","affiliations":[{"raw_affiliation_string":"National, regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8581-9554","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China","City University of Hong Kong Shenzhen Research Institute, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"City University of Hong Kong Shenzhen Research Institute, Shenzhen, China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210105229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0502,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.95624127,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"7","issue":"2","first_page":"402","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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":0.9951000213623047,"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8068499565124512},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7450575828552246},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.7319565415382385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6516640186309814},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5562461018562317},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.555517852306366},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5411805510520935},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.474484920501709},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.45104265213012695},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.42746275663375854},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4185386300086975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35669609904289246},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18135523796081543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11284074187278748}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8068499565124512},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7450575828552246},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7319565415382385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6516640186309814},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5562461018562317},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.555517852306366},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5411805510520935},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.474484920501709},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.45104265213012695},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.42746275663375854},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4185386300086975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35669609904289246},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18135523796081543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11284074187278748},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2022.3220250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2022.3220250","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4608080322","display_name":null,"funder_award_id":"62002014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5432095370","display_name":null,"funder_award_id":"Z201100006820016","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"},{"id":"https://openalex.org/G5655896502","display_name":null,"funder_award_id":"62120106009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6519355659","display_name":null,"funder_award_id":"2019A1515111205","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G6980207033","display_name":null,"funder_award_id":"2022JBMC002","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7536822468","display_name":null,"funder_award_id":"U1936212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7596383720","display_name":null,"funder_award_id":"62001302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8682376634","display_name":null,"funder_award_id":"4222013","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":100,"referenced_works":["https://openalex.org/W1914179642","https://openalex.org/W2100470808","https://openalex.org/W2130184867","https://openalex.org/W2138682569","https://openalex.org/W2194775991","https://openalex.org/W2470139095","https://openalex.org/W2472480899","https://openalex.org/W2501148868","https://openalex.org/W2514658199","https://openalex.org/W2517325737","https://openalex.org/W2547489168","https://openalex.org/W2556053754","https://openalex.org/W2560474170","https://openalex.org/W2565639579","https://openalex.org/W2569272946","https://openalex.org/W2585592883","https://openalex.org/W2588503511","https://openalex.org/W2612135493","https://openalex.org/W2739980858","https://openalex.org/W2740667773","https://openalex.org/W2752782242","https://openalex.org/W2757028014","https://openalex.org/W2765103010","https://openalex.org/W2766912043","https://openalex.org/W2767623212","https://openalex.org/W2793029440","https://openalex.org/W2793668851","https://openalex.org/W2799108379","https://openalex.org/W2884530474","https://openalex.org/W2894890793","https://openalex.org/W2895340898","https://openalex.org/W2897809294","https://openalex.org/W2914306086","https://openalex.org/W2917790938","https://openalex.org/W2921653116","https://openalex.org/W2938260698","https://openalex.org/W2943125866","https://openalex.org/W2955084925","https://openalex.org/W2961348656","https://openalex.org/W2963112696","https://openalex.org/W2963446712","https://openalex.org/W2963572583","https://openalex.org/W2963685207","https://openalex.org/W2963868681","https://openalex.org/W2965638232","https://openalex.org/W2967085153","https://openalex.org/W2969377765","https://openalex.org/W2981680738","https://openalex.org/W2984144959","https://openalex.org/W2985459778","https://openalex.org/W2986056979","https://openalex.org/W2987391422","https://openalex.org/W2990984982","https://openalex.org/W2997217064","https://openalex.org/W2997316506","https://openalex.org/W2999458807","https://openalex.org/W3006465601","https://openalex.org/W3011305844","https://openalex.org/W3035290198","https://openalex.org/W3035422681","https://openalex.org/W3035666869","https://openalex.org/W3039991645","https://openalex.org/W3044364325","https://openalex.org/W3048236698","https://openalex.org/W3049318984","https://openalex.org/W3084740725","https://openalex.org/W3093466063","https://openalex.org/W3097336090","https://openalex.org/W3097848036","https://openalex.org/W3103912303","https://openalex.org/W3105291825","https://openalex.org/W3108608656","https://openalex.org/W3108948422","https://openalex.org/W3111795916","https://openalex.org/W3122445164","https://openalex.org/W3132018008","https://openalex.org/W3141316140","https://openalex.org/W3161316971","https://openalex.org/W3167332518","https://openalex.org/W3168833178","https://openalex.org/W3175841511","https://openalex.org/W3180447501","https://openalex.org/W3195868619","https://openalex.org/W3206198586","https://openalex.org/W3208937872","https://openalex.org/W3211246039","https://openalex.org/W4206715824","https://openalex.org/W4214506192","https://openalex.org/W4214542306","https://openalex.org/W4223896192","https://openalex.org/W4224330024","https://openalex.org/W4226537900","https://openalex.org/W4289792370","https://openalex.org/W4294982611","https://openalex.org/W4295046720","https://openalex.org/W4319300199","https://openalex.org/W6716109767","https://openalex.org/W6785582761","https://openalex.org/W6789654255","https://openalex.org/W6796075269"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1537496349","https://openalex.org/W4243305035","https://openalex.org/W2379407973","https://openalex.org/W2125195795"],"abstract_inverted_index":{"For":[0],"the":[1,11,14,18,55,85,103,145,148,164,172],"video":[2,141],"salient":[3],"object":[4],"detection":[5],"(VSOD)":[6],"task,":[7],"how":[8],"to":[9,63,84,138,170,179],"excavate":[10],"information":[12],"from":[13,174],"appearance":[15,35,66,106],"modality":[16,20,74,107,110],"and":[17,37,87,108,116,123,154,157,197],"motion":[19,41,61,109],"has":[21,43],"always":[22],"been":[23,44],"a":[24,48,95,112,118],"topic":[25],"of":[26,105,147],"great":[27],"concern.":[28],"The":[29],"two-stream":[30],"structure,":[31],"including":[32],"an":[33,38],"RGB":[34],"stream":[36],"optical":[39],"flow":[40],"stream,":[42],"widely":[45],"used":[46],"as":[47],"typical":[49],"pipeline":[50],"for":[51],"VSOD":[52,119],"tasks,":[53],"but":[54,70],"existing":[56],"methods":[57,78],"usually":[58],"only":[59],"use":[60,163],"features":[62,67,173],"unidirectionally":[64],"guide":[65],"or":[68],"adaptively":[69],"blindly":[71],"fuse":[72,171],"two":[73,175],"features.":[75],"However,":[76],"these":[77],"underperform":[79],"in":[80,111,183],"diverse":[81],"scenarios":[82],"due":[83],"uncomprehensive":[86],"unspecific":[88],"learning":[89],"schemes.":[90],"In":[91],"this":[92],"paper,":[93],"following":[94],"more":[96,113],"secure":[97],"modeling":[98],"philosophy,":[99],"we":[100,162],"deeply":[101],"investigate":[102],"importance":[104,182],"comprehensive":[114],"way":[115],"propose":[117],"network":[120],"with":[121,132,144],"up":[122],"down":[124],"parallel":[125,130,176],"symmetry,":[126],"named":[127],"PSNet.":[128],"Two":[129],"branches":[131,177],"different":[133,181,184],"dominant":[134],"modalities":[135],"are":[136],"set":[137],"achieve":[139],"complete":[140],"saliency":[142],"decoding":[143],"cooperation":[146],"Gather":[149],"Diffusion":[150],"Reinforcement":[151],"(GDR)":[152],"module":[153,169],"Cross-modality":[155],"Refinement":[156],"Complement":[158],"(CRC)":[159],"module.":[160],"Finally,":[161],"Importance":[165],"Perception":[166],"Fusion":[167],"(IPF)":[168],"according":[178],"their":[180],"scenarios.":[185],"Experiments":[186],"on":[187],"four":[188],"dataset":[189],"benchmarks":[190],"demonstrate":[191],"that":[192],"our":[193],"method":[194],"achieves":[195],"desirable":[196],"competitive":[198],"performance.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
