{"id":"https://openalex.org/W4224916649","doi":"https://doi.org/10.1109/icassp43922.2022.9747643","title":"Fine-Grained Dynamic Loss for Accurate Single-Image Super-Resolution","display_name":"Fine-Grained Dynamic Loss for Accurate Single-Image Super-Resolution","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4224916649","doi":"https://doi.org/10.1109/icassp43922.2022.9747643"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747643","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5086844626","display_name":"Haoquan Wang","orcid":"https://orcid.org/0009-0002-0742-2946"},"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":true,"raw_author_name":"Haoquan Wang","raw_affiliation_strings":["Tianjin University,School of Microelectronics,Tianjin,China","School of Microelectronics, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University,School of Microelectronics,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363262","display_name":"Gang Zhang","orcid":"https://orcid.org/0000-0003-4609-9221"},"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":"Gang Zhang","raw_affiliation_strings":["Tianjin University,School of Microelectronics,Tianjin,China","School of Microelectronics, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University,School of Microelectronics,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014269327","display_name":"Zhichun Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123225","display_name":"Ruhr West University of Applied Sciences","ror":"https://ror.org/02nkxrq89","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210123225"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zhichun Lei","raw_affiliation_strings":["University of Applied Science Ruhr West,Germany","University of Applied Science Ruhr West, Germany"],"affiliations":[{"raw_affiliation_string":"University of Applied Science Ruhr West,Germany","institution_ids":["https://openalex.org/I4210123225"]},{"raw_affiliation_string":"University of Applied Science Ruhr West, Germany","institution_ids":["https://openalex.org/I4210123225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086844626"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.0599,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.22657921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2150","last_page":"2154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980999827384949,"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":0.631669282913208},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.47032392024993896},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.44321325421333313},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42949455976486206},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3609326481819153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3025701642036438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.631669282913208},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.47032392024993896},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.44321325421333313},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42949455976486206},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3609326481819153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3025701642036438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747643","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1791560514","https://openalex.org/W1992408872","https://openalex.org/W2047920195","https://openalex.org/W2110158442","https://openalex.org/W2157190232","https://openalex.org/W2194775991","https://openalex.org/W2594265094","https://openalex.org/W2607041014","https://openalex.org/W2866634454","https://openalex.org/W2899771611","https://openalex.org/W2912290085","https://openalex.org/W2942169364","https://openalex.org/W2963488291","https://openalex.org/W3034247386","https://openalex.org/W3076169370","https://openalex.org/W3176997885","https://openalex.org/W6602211262","https://openalex.org/W6638194035","https://openalex.org/W6753074096","https://openalex.org/W6756040250","https://openalex.org/W6782282802"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"With":[0],"a":[1,10,102,131,146,153],"wide":[2],"range":[3,156],"of":[4,40,81,88,138],"applications,":[5],"single-image":[6],"super-resolution":[7],"(SISR)":[8],"is":[9],"very":[11],"important":[12],"computer":[13],"vision":[14],"task.":[15],"There":[16],"are":[17,22,70],"many":[18],"SISR":[19,45,104,164],"strategies":[20,41],"which":[21,85,116],"based":[23],"on":[24,161],"the":[25,44,66,73,111,121,162,167],"CNNs":[26],"improvement,":[27],"such":[28,38,126],"as":[29],"residual":[30],"connections,":[31],"deeper":[32],"networks,":[33],"and":[34,52,145,174],"attention":[35],"mechanisms.":[36],"Although":[37],"kind":[39],"often":[42],"improve":[43],"performance,":[46],"they":[47],"increase":[48],"CNNs\u2019":[49,89],"computational":[50,177],"complexity":[51],"complex":[53],"image":[54,93,122],"texture":[55,92,123],"areas":[56],"still":[57],"remain":[58],"hard":[59],"to":[60],"be":[61,109],"reconstructed.":[62],"In":[63],"particular,":[64],"all":[65],"existing":[67,112,141],"loss":[68,99,114,134,143,150],"functions":[69],"minimized":[71],"in":[72,79,91,119],"whole":[74],"dynamic":[75,132,154],"range,":[76],"e.g.":[77],"0-255":[78],"case":[80],"8":[82],"bit":[83],"image,":[84],"causes":[86],"difficulty":[87],"learning":[90],"regions":[94],"above":[95],"all.":[96],"Developing":[97],"new":[98,147],"function":[100,144],"provides":[101],"promising":[103],"solution,":[105],"i.e.":[106],"one":[107],"should":[108],"beyond":[110],"regression":[113,142,155],"functions,":[115],"encounter":[117],"problem":[118],"reconstructing":[120],"details.":[124],"For":[125],"goal,":[127],"this":[128],"paper":[129],"proposes":[130],"fine-grained":[133],"function.":[135],"It":[136],"consists":[137],"both":[139],"an":[140],"pixel":[148],"classification":[149],"together":[151],"with":[152],"loss.":[157],"Extensive":[158],"experiments":[159],"conducted":[160],"benchmark":[163],"show":[165],"that":[166],"proposed":[168],"method":[169],"can":[170],"achieve":[171],"better":[172],"results":[173],"without":[175],"extra":[176],"cost.":[178]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
