{"id":"https://openalex.org/W3194869920","doi":"https://doi.org/10.1109/icip42928.2021.9506764","title":"Explore Connection Pattern And Attention Mechanism For Lightweightimage Super-Resolution","display_name":"Explore Connection Pattern And Attention Mechanism For Lightweightimage Super-Resolution","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3194869920","doi":"https://doi.org/10.1109/icip42928.2021.9506764","mag":"3194869920"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5108582571","display_name":"Zhu Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu Qin","raw_affiliation_strings":["College of Computer Science, Chongqing University,China","College of Computer Science, Chongqing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University,China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"College of Computer Science, Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101664915","display_name":"Taiping Zhang","orcid":"https://orcid.org/0000-0001-9891-4203"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taiping Zhang","raw_affiliation_strings":["College of Computer Science, Chongqing University,China","College of Computer Science, Chongqing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University,China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"College of Computer Science, Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1799","last_page":"1803"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9983999729156494,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8610712289810181},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.7327277660369873},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7022178173065186},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6890937685966492},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6195241212844849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4278579652309418},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4226379692554474},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41351741552352905},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3405560851097107},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33102768659591675},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23693308234214783}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8610712289810181},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.7327277660369873},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7022178173065186},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6890937685966492},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6195241212844849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4278579652309418},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4226379692554474},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41351741552352905},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3405560851097107},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33102768659591675},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23693308234214783},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2121927366","https://openalex.org/W2192954843","https://openalex.org/W2741137940","https://openalex.org/W2795024892","https://openalex.org/W2866634454","https://openalex.org/W2887695188","https://openalex.org/W2954930822","https://openalex.org/W2963372104","https://openalex.org/W2963645458","https://openalex.org/W2964125708","https://openalex.org/W2976718572","https://openalex.org/W3013529009","https://openalex.org/W3034247386","https://openalex.org/W3101659800","https://openalex.org/W3124561108","https://openalex.org/W3133953507","https://openalex.org/W6753074096","https://openalex.org/W6783307137"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W1566155057","https://openalex.org/W2060986072","https://openalex.org/W2052574922","https://openalex.org/W64588465","https://openalex.org/W3120641340","https://openalex.org/W2117825986","https://openalex.org/W3134067061","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Despite":[0],"the":[1,14,46,62,93,120,133,141],"great":[2],"success":[3],"of":[4,65,75,146],"CNN":[5],"(Convolutional":[6],"Neural":[7],"Network)":[8],"in":[9,16,144],"SISR":[10,106],"(Single":[11],"Image":[12],"Super-Resolution),":[13],"increase":[15],"network":[17,42],"depth":[18],"leads":[19],"to":[20,59,71,81,114],"higher":[21],"computational":[22],"complexity":[23],"and":[24,56,77,108,148],"memory":[25],"usage,":[26],"which":[27,51],"extremely":[28],"hinders":[29],"real-world":[30],"applications.":[31],"To":[32,90],"solve":[33],"this":[34],"problem,":[35],"we":[36,95],"propose":[37],"a":[38,137],"lightweight":[39],"cascade":[40,47,54],"fusion":[41,48,57,78],"(CFNet)":[43],"by":[44,86],"stacking":[45],"block":[49],"(CFB),":[50],"adopts":[52],"both":[53],"connections":[55,58,69,79],"fully":[60],"utilize":[61],"extraction":[63],"ability":[64],"convolution.":[66],"Specifically,":[67],"Cascade":[68],"help":[70,80],"transfer":[72],"low-level":[73],"features":[74,84],"source,":[76],"obtain":[82],"hierarchical":[83],"produced":[85],"intermediate":[87],"convolution":[88],"layers.":[89],"further":[91],"improve":[92],"performance,":[94],"also":[96],"design":[97,111],"an":[98],"efficient":[99],"low-dimensional":[100],"pixel":[101],"attention":[102],"(LPA)":[103],"mechanism":[104],"for":[105,153],"tasks":[107],"summarize":[109],"several":[110],"guidelines.":[112],"Thanks":[113],"LPA":[115],"module,":[116],"our":[117],"CFNet":[118,135,154],"improves":[119],"final":[121],"reconstruction":[122],"quality":[123],"with":[124],"little":[125],"parameter":[126],"cost.":[127],"Extensive":[128],"experimental":[129],"results":[130],"show":[131],"that":[132],"proposed":[134],"achieves":[136],"better":[138],"trade-off":[139],"against":[140],"state-of-the-art":[142],"methods":[143],"terms":[145],"performance":[147],"model":[149],"complexity.":[150],"Our":[151],"codes":[152],"are":[155],"available":[156],"at":[157],"https://github.com/knowback/CFNet.":[158]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}