{"id":"https://openalex.org/W4285005614","doi":"https://doi.org/10.3390/s22145149","title":"DRSNFuse: Deep Residual Shrinkage Network for Infrared and Visible Image Fusion","display_name":"DRSNFuse: Deep Residual Shrinkage Network for Infrared and Visible Image Fusion","publication_year":2022,"publication_date":"2022-07-08","ids":{"openalex":"https://openalex.org/W4285005614","doi":"https://doi.org/10.3390/s22145149","pmid":"https://pubmed.ncbi.nlm.nih.gov/35890828"},"language":"en","primary_location":{"id":"doi:10.3390/s22145149","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145149","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5149/pdf?version=1657291077","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/14/5149/pdf?version=1657291077","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100674673","display_name":"Hongfeng Wang","orcid":"https://orcid.org/0000-0002-4260-8642"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfeng Wang","raw_affiliation_strings":["School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387977","display_name":"Jianzhong Wang","orcid":"https://orcid.org/0000-0002-9478-5755"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianzhong Wang","raw_affiliation_strings":["State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101768975","display_name":"Haonan Xu","orcid":"https://orcid.org/0000-0001-8873-0320"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haonan Xu","raw_affiliation_strings":["School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040950727","display_name":"Y. Sun","orcid":"https://orcid.org/0000-0002-2489-8914"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Sun","raw_affiliation_strings":["School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102762878","display_name":"Zibo Yu","orcid":"https://orcid.org/0009-0009-4617-4704"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zibo Yu","raw_affiliation_strings":["School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100387977"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.0168,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78360789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"22","issue":"14","first_page":"5149","last_page":"5149"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.996999979019165,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9937000274658203,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7839547395706177},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7106461524963379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6983001232147217},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6846075654029846},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.671177864074707},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6366161108016968},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48407378792762756},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.47491654753685},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46801531314849854},{"id":"https://openalex.org/keywords/shrinkage","display_name":"Shrinkage","score":0.4206191301345825},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41286811232566833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40464460849761963},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07593706250190735}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7839547395706177},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7106461524963379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6983001232147217},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6846075654029846},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.671177864074707},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6366161108016968},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48407378792762756},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.47491654753685},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46801531314849854},{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.4206191301345825},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41286811232566833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40464460849761963},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07593706250190735},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008029","descriptor_name":"Lighting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008029","descriptor_name":"Lighting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008029","descriptor_name":"Lighting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22145149","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145149","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5149/pdf?version=1657291077","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35890828","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35890828","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:16078b0f3d58430791df8fd0cb07fa53","is_oa":true,"landing_page_url":"https://doaj.org/article/16078b0f3d58430791df8fd0cb07fa53","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 14, p 5149 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/14/5149/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22145149","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 14; Pages: 5149","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9318496","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9318496","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22145149","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145149","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5149/pdf?version=1657291077","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285005614.pdf","grobid_xml":"https://content.openalex.org/works/W4285005614.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W2108391479","https://openalex.org/W2133135191","https://openalex.org/W2133665775","https://openalex.org/W2152218325","https://openalex.org/W2179019672","https://openalex.org/W2194775991","https://openalex.org/W2209762097","https://openalex.org/W2565639579","https://openalex.org/W2589745805","https://openalex.org/W2590003272","https://openalex.org/W2736883612","https://openalex.org/W2742180631","https://openalex.org/W2744019306","https://openalex.org/W2798018774","https://openalex.org/W2798987894","https://openalex.org/W2896155169","https://openalex.org/W2912126472","https://openalex.org/W2912147220","https://openalex.org/W2963073614","https://openalex.org/W2963134949","https://openalex.org/W2963150697","https://openalex.org/W2963470893","https://openalex.org/W2977117446","https://openalex.org/W2998529071","https://openalex.org/W2999838674","https://openalex.org/W3001992107","https://openalex.org/W3035467948","https://openalex.org/W3094055017","https://openalex.org/W3102515681","https://openalex.org/W3104771364","https://openalex.org/W3105639468","https://openalex.org/W3108042295","https://openalex.org/W3113053567","https://openalex.org/W3158080681","https://openalex.org/W3181108904","https://openalex.org/W3207531729","https://openalex.org/W3214714553","https://openalex.org/W4281750928","https://openalex.org/W4282592357","https://openalex.org/W6772718654","https://openalex.org/W6787015245","https://openalex.org/W6787577844","https://openalex.org/W6795234273"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2139242969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2350422455","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Infrared":[0,23],"images":[1,17,156,189],"are":[2,18],"robust":[3],"against":[4],"illumination":[5],"variation":[6],"and":[7,24,65,72,127,143,160,186,198],"disguises,":[8],"containing":[9],"the":[10,34,94,99,103,116,149,167],"sharp":[11],"edge":[12,194],"contours":[13],"of":[14,36],"objects.":[15],"Visible":[16],"enriched":[19],"with":[20,148,157,190],"texture":[21,100],"details.":[22],"visible":[25,73],"image":[26,44,63,74,132],"fusion":[27,45,64,75,117,133,141,178],"seeks":[28],"to":[29,115,123,138],"obtain":[30,139],"high-quality":[31],"images,":[32],"keeping":[33],"advantages":[35],"source":[37],"images.":[38],"This":[39],"paper":[40],"proposes":[41],"an":[42],"object-aware":[43],"method":[46,175],"based":[47,80],"on":[48,81,125],"a":[49,67,111],"deep":[50],"residual":[51,59,95,107],"shrinkage":[52,60,96,108],"network,":[53],"termed":[54],"as":[55],"DRSNFuse.":[56],"DRSNFuse":[57,146],"exploits":[58],"blocks":[61,97,109],"for":[62],"introduces":[66],"deeper":[68,86],"network":[69,87],"in":[70],"infrared":[71],"tasks":[76],"than":[77,180],"existing":[78],"methods":[79,182],"fully":[82],"convolutional":[83],"networks.":[84],"The":[85,106],"can":[88,153],"effectively":[89],"extract":[90],"semantic":[91],"information,":[92],"while":[93],"maintain":[98],"information":[101],"throughout":[102],"whole":[104],"network.":[105],"adapt":[110],"channel-wise":[112],"attention":[113],"mechanism":[114],"task,":[118],"enabling":[119],"feature":[120],"map":[121],"channels":[122],"focus":[124],"objects":[126],"backgrounds":[128],"separately.":[129],"A":[130],"novel":[131],"loss":[134,151],"function":[135,152],"is":[136],"proposed":[137,150],"better":[140,177],"performance":[142],"suppress":[144],"artifacts.":[145,200],"trained":[147],"generate":[154],"fused":[155,188],"fewer":[158,199],"artifacts":[159],"more":[161],"original":[162],"textures,":[163],"which":[164],"also":[165],"satisfy":[166],"human":[168],"visual":[169],"system.":[170],"Experiments":[171],"show":[172],"that":[173],"our":[174],"has":[176],"results":[179],"mainstream":[181],"through":[183],"quantitative":[184],"comparison":[185],"obtains":[187],"brighter":[191],"targets,":[192],"sharper":[193],"contours,":[195],"richer":[196],"details,":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}