{"id":"https://openalex.org/W4312863247","doi":"https://doi.org/10.1109/mmsp55362.2022.9948963","title":"Towards Analyzing the Robustness of Deep Light-weight Image Super Resolution Networks under Distribution Shift","display_name":"Towards Analyzing the Robustness of Deep Light-weight Image Super Resolution Networks under Distribution Shift","publication_year":2022,"publication_date":"2022-09-26","ids":{"openalex":"https://openalex.org/W4312863247","doi":"https://doi.org/10.1109/mmsp55362.2022.9948963"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp55362.2022.9948963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9948963","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","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":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","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/A5074650143","display_name":"Alireza Esmaeilzehi","orcid":"https://orcid.org/0000-0002-3625-1608"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Alireza Esmaeilzehi","raw_affiliation_strings":["University of Alberta,Department of ECE,Edmonton,Canada","Department of ECE, University of Alberta, Edmonton, Canada"],"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of ECE,Edmonton,Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of ECE, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101468661","display_name":"Lei Ma","orcid":"https://orcid.org/0000-0002-8621-2420"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lei Ma","raw_affiliation_strings":["University of Alberta,Department of ECE,Edmonton,Canada","Department of ECE, University of Alberta, Edmonton, Canada"],"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of ECE,Edmonton,Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of ECE, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068820891","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-2924-6659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Omair Ahmad","raw_affiliation_strings":["Concordia University,Department of ECE,Montreal,Canada","Department of ECE, Concordia University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia University,Department of ECE,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Department of ECE, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074650143"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.2998,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64729788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9965999722480774,"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":0.9945999979972839,"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/robustness","display_name":"Robustness (evolution)","score":0.9080243110656738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7821409702301025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6818926930427551},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6147177219390869},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.6053076982498169},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5903454422950745},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4656219184398651},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.46271297335624695},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4393406808376312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4220465421676636},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.41177690029144287},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31818222999572754},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.08252409100532532}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.9080243110656738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7821409702301025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6818926930427551},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6147177219390869},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.6053076982498169},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5903454422950745},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4656219184398651},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.46271297335624695},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4393406808376312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4220465421676636},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.41177690029144287},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31818222999572754},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.08252409100532532},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp55362.2022.9948963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9948963","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","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":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1930824406","https://openalex.org/W1982471090","https://openalex.org/W2047920195","https://openalex.org/W2741137940","https://openalex.org/W2961301154","https://openalex.org/W2963372104","https://openalex.org/W2976718572","https://openalex.org/W2981722656","https://openalex.org/W2983304378","https://openalex.org/W3104028135","https://openalex.org/W3133531783","https://openalex.org/W3206177619","https://openalex.org/W4288404646","https://openalex.org/W6637373629","https://openalex.org/W6757555829","https://openalex.org/W6761643293","https://openalex.org/W6765536919"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W2044092692","https://openalex.org/W2614621130","https://openalex.org/W4289655544","https://openalex.org/W2547665164","https://openalex.org/W3103111272","https://openalex.org/W3004000015","https://openalex.org/W2559771220","https://openalex.org/W4288598071"],"abstract_inverted_index":{"Deep":[0],"light-weight":[1,70,108],"image":[2],"super":[3,71,89,109],"resolution":[4,72,110],"networks":[5,29,73,111,117],"that":[6,38,51,80],"provide":[7],"a":[8,32],"high":[9],"performance":[10,34],"have":[11],"numerous":[12],"real-life":[13],"applications,":[14],"such":[15,27,116],"as":[16],"mobile":[17],"devices":[18],"and":[19,46,76,96],"multimedia":[20],"systems.":[21],"Hence,":[22],"analyzing":[23],"the":[24,36,43,53,63,67,84,88,105,113,123],"capability":[25],"of":[26,52,66,87,101,115],"deep":[28,68,106],"in":[30,92,122],"providing":[31],"similar":[33,49],"between":[35],"cases":[37],"they":[39],"are":[40,81],"applied":[41],"to":[42,50],"images":[44,91],"with":[45],"without":[47],"distributions":[48],"training":[54],"is":[55],"crucial.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60],"carry":[61],"out":[62],"robustness":[64],"analysis":[65],"state-of-the-art":[69,107],"by":[74],"proposing":[75],"using":[77],"three":[78],"metrics":[79,103],"based":[82],"on":[83],"statistical":[85],"information":[86],"resolved":[90],"both":[93],"pixel":[94],"level":[95],"feature":[97],"level.":[98],"The":[99],"results":[100],"our":[102],"for":[104],"demonstrate":[112],"behavior":[114],"against":[118],"realistic":[119],"distribution":[120],"shift":[121],"test":[124],"dataset.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
