{"id":"https://openalex.org/W3089400682","doi":"https://doi.org/10.1109/tcsvt.2020.3027732","title":"MDCN: Multi-Scale Dense Cross Network for Image Super-Resolution","display_name":"MDCN: Multi-Scale Dense Cross Network for Image Super-Resolution","publication_year":2020,"publication_date":"2020-09-29","ids":{"openalex":"https://openalex.org/W3089400682","doi":"https://doi.org/10.1109/tcsvt.2020.3027732","mag":"3089400682"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2020.3027732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3027732","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5100648014","display_name":"Juncheng Li","orcid":"https://orcid.org/0000-0001-7314-6754"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juncheng Li","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China","Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7314-6754","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044588347","display_name":"Faming Fang","orcid":"https://orcid.org/0000-0003-4511-4813"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faming Fang","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China","Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4511-4813","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726186","display_name":"Jiaqian Li","orcid":"https://orcid.org/0000-0001-6655-6069"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqian Li","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China","Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061336891","display_name":"Kangfu Mei","orcid":"https://orcid.org/0000-0001-8949-9597"},"institutions":[{"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":"Kangfu Mei","raw_affiliation_strings":["The Chinese University of Hong Kong at Shenzhen, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8949-9597","affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong at Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060120202","display_name":"Guixu Zhang","orcid":"https://orcid.org/0000-0003-4720-6607"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guixu Zhang","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China","Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4720-6607","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.7083,"has_fulltext":false,"cited_by_count":120,"citation_normalized_percentile":{"value":0.97670847,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"31","issue":"7","first_page":"2547","last_page":"2561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9977999925613403,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9959999918937683,"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/upsampling","display_name":"Upsampling","score":0.932198166847229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8055497407913208},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7133251428604126},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6839556694030762},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5745190382003784},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5725591778755188},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5701413154602051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5552246570587158},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5224608182907104},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4967659115791321},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10735592246055603}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.932198166847229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8055497407913208},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7133251428604126},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6839556694030762},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5745190382003784},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5725591778755188},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5701413154602051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5552246570587158},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5224608182907104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4967659115791321},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10735592246055603},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2020.3027732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3027732","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2323602392","display_name":null,"funder_award_id":"61961160734","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2469445726","display_name":"\u9065\u611f\u56fe\u50cf\u5feb\u901f\u62fc\u63a5\u6a21\u578b\u4e0e\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61871185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5391332462","display_name":null,"funder_award_id":"61731009","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":89,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W935139217","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2078008442","https://openalex.org/W2087401054","https://openalex.org/W2097117768","https://openalex.org/W2102166818","https://openalex.org/W2110158442","https://openalex.org/W2121927366","https://openalex.org/W2124438045","https://openalex.org/W2131024476","https://openalex.org/W2133665775","https://openalex.org/W2150081556","https://openalex.org/W2157190232","https://openalex.org/W2183341477","https://openalex.org/W2192954843","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2263468737","https://openalex.org/W2340897893","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2515791897","https://openalex.org/W2531409750","https://openalex.org/W2565312867","https://openalex.org/W2607041014","https://openalex.org/W2741137940","https://openalex.org/W2747898905","https://openalex.org/W2752782242","https://openalex.org/W2765535295","https://openalex.org/W2768814045","https://openalex.org/W2769197712","https://openalex.org/W2780544323","https://openalex.org/W2797925891","https://openalex.org/W2799120945","https://openalex.org/W2803657611","https://openalex.org/W2866634454","https://openalex.org/W2886209123","https://openalex.org/W2887695188","https://openalex.org/W2891690292","https://openalex.org/W2895598217","https://openalex.org/W2895622700","https://openalex.org/W2897981157","https://openalex.org/W2903417465","https://openalex.org/W2907110086","https://openalex.org/W2907183510","https://openalex.org/W2907226170","https://openalex.org/W2923898639","https://openalex.org/W2936629342","https://openalex.org/W2946362479","https://openalex.org/W2951697518","https://openalex.org/W2952420925","https://openalex.org/W2962850830","https://openalex.org/W2962928529","https://openalex.org/W2963031226","https://openalex.org/W2963372104","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963729050","https://openalex.org/W2963986095","https://openalex.org/W2964101377","https://openalex.org/W2964277374","https://openalex.org/W2969543119","https://openalex.org/W2971026149","https://openalex.org/W2983046434","https://openalex.org/W2988302524","https://openalex.org/W2996557283","https://openalex.org/W2999418043","https://openalex.org/W3000406841","https://openalex.org/W3005521100","https://openalex.org/W3007582022","https://openalex.org/W3008237812","https://openalex.org/W3010092235","https://openalex.org/W3010638262","https://openalex.org/W3013529009","https://openalex.org/W3016070522","https://openalex.org/W3018586778","https://openalex.org/W3098418424","https://openalex.org/W3101659800","https://openalex.org/W3124561108","https://openalex.org/W6602211262","https://openalex.org/W6624640001","https://openalex.org/W6638194035","https://openalex.org/W6749012761","https://openalex.org/W6753074096","https://openalex.org/W6775889317"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W4310746709","https://openalex.org/W4386075645","https://openalex.org/W4385574037","https://openalex.org/W4306309518"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"have":[3],"been":[4],"proven":[5],"to":[6,51,108,131,138,174],"be":[7,167],"of":[8,23,40,45,88,116],"great":[9,77],"benefit":[10],"for":[11],"single-image":[12],"super-resolution":[13],"(SISR).":[14],"However,":[15],"previous":[16],"works":[17],"do":[18],"not":[19],"make":[20],"full":[21],"use":[22,115],"multi-scale":[24,89,110],"features":[25,54,111,118],"and":[26,55,82,99,112,135],"ignore":[27],"the":[28,43,46,57,114,190],"inter-scale":[29,58],"correlation":[30,59],"between":[31,60],"different":[32,61,121,143],"upsampling":[33,62,144,195],"factors,":[34],"resulting":[35],"in":[36,146,186,189],"sub-optimal":[37],"performance.":[38,177],"Instead":[39],"blindly":[41],"increasing":[42],"depth":[44],"network,":[47],"we":[48,67],"are":[49],"committed":[50],"mining":[52],"image":[53,117],"learning":[56],"factors.":[63,196],"To":[64],"achieve":[65,132],"this,":[66],"propose":[68],"a":[69,147],"Multi-scale":[70],"Dense":[71],"Cross":[72],"Network":[73],"(MDCN),":[74],"which":[75],"achieves":[76,183],"performance":[78],"with":[79,142,193],"fewer":[80],"parameters":[81],"less":[83],"execution":[84],"time.":[85],"MDCN":[86,182],"consists":[87],"dense":[90],"cross":[91],"blocks":[92],"(MDCBs),":[93],"hierarchical":[94],"feature":[95,129,133],"distillation":[96],"block":[97,102],"(HFDB),":[98],"dynamic":[100],"reconstruction":[101,191],"(DRB).":[103],"Among":[104],"them,":[105],"MDCB":[106],"aims":[107],"detect":[109],"maximize":[113],"flow":[119],"at":[120,201],"scales,":[122],"HFDB":[123],"focuses":[124],"on":[125],"adaptively":[126],"recalibrate":[127],"channel-wise":[128],"responses":[130],"distillation,":[134],"DRB":[136],"attempts":[137],"reconstruct":[139],"SR":[140],"images":[141],"factors":[145],"single":[148],"model.":[149],"It":[150,161],"is":[151,199],"worth":[152],"noting":[153],"that":[154,163,181],"all":[155],"these":[156,164],"modules":[157,165],"can":[158,166],"run":[159],"independently.":[160],"means":[162],"selectively":[168],"plugged":[169],"into":[170],"any":[171],"CNN":[172],"model":[173,176],"improve":[175],"Extensive":[178],"experiments":[179],"show":[180],"competitive":[184],"results":[185],"SISR,":[187],"especially":[188],"task":[192],"multiple":[194],"The":[197],"code":[198],"provided":[200],"<uri":[202],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[203],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/MIVRC/MDCN-PyTorch</uri>":[204],".":[205]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}