{"id":"https://openalex.org/W4392607771","doi":"https://doi.org/10.1109/tnnls.2024.3367782","title":"Focus Affinity Perception and Super-Resolution Embedding for Multifocus Image Fusion","display_name":"Focus Affinity Perception and Super-Resolution Embedding for Multifocus Image Fusion","publication_year":2024,"publication_date":"2024-03-08","ids":{"openalex":"https://openalex.org/W4392607771","doi":"https://doi.org/10.1109/tnnls.2024.3367782","pmid":"https://pubmed.ncbi.nlm.nih.gov/38446648"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3367782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3367782","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5080535168","display_name":"Huafeng Li","orcid":"https://orcid.org/0000-0003-2462-6174"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huafeng Li","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680643","display_name":"Ming Yuan","orcid":"https://orcid.org/0000-0002-8343-2567"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yuan","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100753458","display_name":"Jinxing Li","orcid":"https://orcid.org/0000-0001-5156-0305"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxing Li","raw_affiliation_strings":["Harbin Institute of Technology at Shenzhen, Shenzhen, China","Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology at Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618357","display_name":"Y\u00fc Liu","orcid":"https://orcid.org/0000-0003-2211-3535"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Department of Biomedical Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030843117","display_name":"Guangming Lu","orcid":"https://orcid.org/0000-0003-1578-2634"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Lu","raw_affiliation_strings":["Harbin Institute of Technology at Shenzhen, Shenzhen, China","Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology at Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359961","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0003-0530-2123"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["Harbin Institute of Technology at Shenzhen, Shenzhen, China","Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology at Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619287","display_name":"Zhengtao Yu","orcid":"https://orcid.org/0000-0002-4012-461X"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengtao Yu","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325058","display_name":"David Zhang","orcid":"https://orcid.org/0000-0002-5027-5286"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"David Zhang","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong at Shenzhen, Shenzhen, China","Shenzhen Research Institute of Big Data, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong at Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5080535168"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":null,"apc_paid":null,"fwci":3.8008,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.93669502,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"36","issue":"3","first_page":"4311","last_page":"4325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11105","display_name":"Advanced Image Processing Techniques","score":0.998199999332428,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.766743540763855},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.7219375371932983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6866266131401062},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6587997674942017},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6072035431861877},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6023039817810059},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5471932888031006},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5347987413406372},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5098065733909607},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.49449798464775085},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.47954437136650085},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4716445803642273},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.4617787301540375},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4545934796333313},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4508136212825775},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06248408555984497}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.766743540763855},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7219375371932983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6866266131401062},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6587997674942017},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6072035431861877},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6023039817810059},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5471932888031006},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5347987413406372},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5098065733909607},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.49449798464775085},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.47954437136650085},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4716445803642273},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.4617787301540375},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4545934796333313},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4508136212825775},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06248408555984497},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3367782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3367782","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38446648","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38446648","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6545507832","display_name":null,"funder_award_id":"62276120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6613849761","display_name":null,"funder_award_id":"62272133","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W784113155","https://openalex.org/W1563899710","https://openalex.org/W1686810756","https://openalex.org/W1964641132","https://openalex.org/W1999034606","https://openalex.org/W2082506960","https://openalex.org/W2083388902","https://openalex.org/W2091484864","https://openalex.org/W2099996096","https://openalex.org/W2107115785","https://openalex.org/W2117539524","https://openalex.org/W2121219287","https://openalex.org/W2133665775","https://openalex.org/W2142060261","https://openalex.org/W2148125137","https://openalex.org/W2161811007","https://openalex.org/W2164593472","https://openalex.org/W2278599304","https://openalex.org/W2306859282","https://openalex.org/W2406516878","https://openalex.org/W2473964400","https://openalex.org/W2559870345","https://openalex.org/W2592163064","https://openalex.org/W2739757502","https://openalex.org/W2767512561","https://openalex.org/W2808885862","https://openalex.org/W2884367402","https://openalex.org/W2901572775","https://openalex.org/W2943495883","https://openalex.org/W2963787388","https://openalex.org/W2964101377","https://openalex.org/W2977461977","https://openalex.org/W2998054657","https://openalex.org/W3010015985","https://openalex.org/W3010335025","https://openalex.org/W3011768656","https://openalex.org/W3012152103","https://openalex.org/W3040592542","https://openalex.org/W3041293645","https://openalex.org/W3041752652","https://openalex.org/W3046194589","https://openalex.org/W3081131687","https://openalex.org/W3083574456","https://openalex.org/W3088623196","https://openalex.org/W3089645015","https://openalex.org/W3092925893","https://openalex.org/W3107811908","https://openalex.org/W3134036581","https://openalex.org/W3152132512","https://openalex.org/W3158729725","https://openalex.org/W3174060721","https://openalex.org/W3193402893","https://openalex.org/W4210346331","https://openalex.org/W4225636507","https://openalex.org/W4231697575","https://openalex.org/W4280538209","https://openalex.org/W4283360701","https://openalex.org/W4288774208","https://openalex.org/W4309730479","https://openalex.org/W4312594135","https://openalex.org/W4313267411","https://openalex.org/W4320015914","https://openalex.org/W4321380693","https://openalex.org/W4322730895","https://openalex.org/W4380303853","https://openalex.org/W4383752660","https://openalex.org/W4384159564","https://openalex.org/W4387546313","https://openalex.org/W6637373629","https://openalex.org/W6721223673","https://openalex.org/W6752788502","https://openalex.org/W6784656099"],"related_works":["https://openalex.org/W3004135429","https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W3121005460","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Despite":[0],"the":[1,15,24,56,60,63,104,132,144,166,169,172,176,196,221,232,236,246],"fact":[2],"that":[3],"there":[4],"is":[5,36,117,127,161],"a":[6,20,33,77,98,113,125,156,214],"remarkable":[7],"achievement":[8],"on":[9,231],"multifocus":[10],"image":[11,22,40,43,83,190,225],"fusion,":[12],"most":[13],"of":[14,93,107,134,139,146,224,238,245],"existing":[16,197],"methods":[17],"only":[18],"generate":[19],"low-resolution":[21],"if":[23,59],"given":[25],"source":[26],"images":[27],"suffer":[28],"from":[29,62,154,168],"low":[30],"resolution.":[31,193],"Obviously,":[32],"naive":[34],"strategy":[35],"to":[37,80,120,130,152,186],"independently":[38],"conduct":[39],"fusion":[41,84,94,201,226],"and":[42,52,85,95,175,202],"super-resolution.":[44,96,228],"However,":[45],"this":[46,70,73],"two-step":[47],"approach":[48],"would":[49],"inevitably":[50],"introduce":[51],"enlarge":[53],"artifacts":[54,218],"in":[55,72,87,109,122,150,164,213],"final":[57],"result":[58,61],"first":[64,128],"step":[65],"meets":[66],"artifacts.":[67],"To":[68],"address":[69],"problem,":[71],"article,":[74],"we":[75],"propose":[76],"novel":[78],"method":[79,207,241],"simultaneously":[81],"achieve":[82],"super-resolution":[86,159,203],"one":[88],"framework,":[89],"avoiding":[90,217],"step-by-step":[91],"processing":[92],"Since":[97],"small":[99],"receptive":[100,115,140],"field":[101,116],"can":[102],"discriminate":[103],"focusing":[105],"characteristics":[106],"pixels":[108,121],"detailed":[110],"regions,":[111,124],"while":[112],"large":[114],"more":[118],"robust":[119],"smooth":[123],"subnetwork":[126,160],"proposed":[129,206,240],"compute":[131],"affinity":[133],"features":[135,167],"under":[136],"different":[137],"types":[138],"fields,":[141],"efficiently":[142],"increasing":[143],"discriminability":[145],"focused":[147],"pixels.":[148],"Simultaneously,":[149],"order":[151],"prevent":[153],"distortion,":[155],"gradient":[157,177],"embedding-based":[158],"also":[162],"proposed,":[163],"which":[165,199],"shallow":[170],"layer,":[171,174],"deep":[173],"map":[178],"are":[179],"jointly":[180],"taken":[181],"into":[182],"account,":[183],"allowing":[184],"us":[185],"get":[187],"an":[188],"upsampled":[189],"with":[191,195,243],"high":[192],"Compared":[194],"methods,":[198],"implemented":[200],"independently,":[204],"our":[205,239],"directly":[208],"achieves":[209],"these":[210],"two":[211],"tasks":[212],"parallel":[215],"way,":[216],"caused":[219],"by":[220],"inferior":[222],"output":[223],"or":[227],"Experiments":[229],"conducted":[230],"real-world":[233],"dataset":[234],"substantiate":[235],"superiority":[237],"compared":[242],"state":[244],"arts.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}