{"id":"https://openalex.org/W4402917100","doi":"https://doi.org/10.1109/icip51287.2024.10647621","title":"Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency For Blind Image Quality Assessment","display_name":"Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency For Blind Image Quality Assessment","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402917100","doi":"https://doi.org/10.1109/icip51287.2024.10647621"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10647621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10647621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5107585301","display_name":"Mohammed Alsaafin","orcid":null},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohammed Alsaafin","raw_affiliation_strings":["King Fahd University of Petroleum and Minerals,Department of Industrial and Systems Engineering,Dhahran,Saudi Arabia,31261"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Fahd University of Petroleum and Minerals,Department of Industrial and Systems Engineering,Dhahran,Saudi Arabia,31261","institution_ids":["https://openalex.org/I134085113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093868810","display_name":"Musab Alsheikh","orcid":null},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Musab Alsheikh","raw_affiliation_strings":["King Fahd University of Petroleum and Minerals,Department of Electrical Engineering,Dhahran,Saudi Arabia,31261"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Fahd University of Petroleum and Minerals,Department of Electrical Engineering,Dhahran,Saudi Arabia,31261","institution_ids":["https://openalex.org/I134085113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084633048","display_name":"Saeed Anwar","orcid":"https://orcid.org/0000-0002-0692-8411"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Saeed Anwar","raw_affiliation_strings":["King Fahd University of Petroleum and Minerals,Department of Information and Computer Science,Dhahran,Saudi Arabia,31261"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Fahd University of Petroleum and Minerals,Department of Information and Computer Science,Dhahran,Saudi Arabia,31261","institution_ids":["https://openalex.org/I134085113"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003364006","display_name":"Muhammad Usman","orcid":"https://orcid.org/0000-0003-2059-7206"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Muhammad Usman","raw_affiliation_strings":["King Fahd University of Petroleum and Minerals,Department of Information and Computer Science,Dhahran,Saudi Arabia,31261"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Fahd University of Petroleum and Minerals,Department of Information and Computer Science,Dhahran,Saudi Arabia,31261","institution_ids":["https://openalex.org/I134085113"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I134085113"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1260","last_page":"1266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9800999760627747,"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":0.9800999760627747,"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":0.9761000275611877,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9740999937057495,"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":0.5639995336532593},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5031811594963074},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5019419193267822},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.46220067143440247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44184234738349915},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4250294864177704},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36163485050201416},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26106223464012146},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13985830545425415},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1368488073348999}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5639995336532593},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5031811594963074},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5019419193267822},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.46220067143440247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44184234738349915},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4250294864177704},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36163485050201416},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26106223464012146},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13985830545425415},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1368488073348999},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10647621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10647621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322323","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W2059283460","https://openalex.org/W2162692770","https://openalex.org/W2194775991","https://openalex.org/W2566149141","https://openalex.org/W2576915720","https://openalex.org/W2766563094","https://openalex.org/W2768340063","https://openalex.org/W2793894139","https://openalex.org/W2905388959","https://openalex.org/W2905544033","https://openalex.org/W3034882073","https://openalex.org/W3035712445","https://openalex.org/W3035719652","https://openalex.org/W3096609285","https://openalex.org/W3180341611","https://openalex.org/W3194280054","https://openalex.org/W3194293177","https://openalex.org/W4313349406","https://openalex.org/W4386071514","https://openalex.org/W4386071753","https://openalex.org/W4386076169","https://openalex.org/W4390872670","https://openalex.org/W4390873394","https://openalex.org/W6739901393","https://openalex.org/W6743767099","https://openalex.org/W6785242917"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W2793336762","https://openalex.org/W2091548507","https://openalex.org/W2368816706","https://openalex.org/W3159414774","https://openalex.org/W4385728102","https://openalex.org/W1546381263"],"abstract_inverted_index":{"The":[0,37],"no-reference":[1,97,142],"image":[2,12,98,116,128,143],"quality":[3,13,99,129,144],"assessment":[4,100,130,145],"is":[5,72,90],"a":[6,49,64],"challenging":[7],"domain":[8],"that":[9],"addresses":[10],"estimating":[11],"without":[14],"the":[15,94,132,139],"original":[16],"reference.":[17],"We":[18],"introduce":[19],"an":[20,115],"improved":[21],"mechanism":[22],"to":[23,43,88],"extract":[24],"local":[25,60],"and":[26,35,47,69,117],"non-local":[27,50],"information":[28],"from":[29],"images":[30,79],"via":[31],"different":[32],"transformer":[33],"encoders":[34,41],"CNNs.":[36],"utilization":[38],"of":[39,78,96,125,141],"Transformer":[40],"aims":[42],"mitigate":[44],"locality":[45],"bias":[46],"generate":[48],"representation":[51],"by":[52,111],"sequentially":[53],"processing":[54],"CNN":[55],"features,":[56],"which":[57],"inherently":[58],"capture":[59],"visual":[61],"structures.":[62],"Establishing":[63],"stronger":[65],"connection":[66],"between":[67,114],"subjective":[68],"objective":[70],"assessments":[71],"achieved":[73],"through":[74],"sorting":[75],"within":[76],"batches":[77],"based":[80],"on":[81,148],"relative":[82],"distance":[83],"information.":[84],"A":[85],"self-consistency":[86],"approach":[87,107],"self-supervision":[89],"presented,":[91],"explicitly":[92],"addressing":[93],"degradation":[95],"(NR-IQA)":[101],"models":[102],"under":[103],"equivariant":[104],"transformations.":[105],"Our":[106],"ensures":[108],"model":[109,134],"robustness":[110],"maintaining":[112],"consistency":[113],"its":[118],"horizontally":[119],"flipped":[120],"equivalent.":[121],"Through":[122],"empirical":[123],"evaluation":[124],"five":[126],"popular":[127],"datasets,":[131,146],"proposed":[133],"outperforms":[135],"alternative":[136],"algorithms":[137],"in":[138],"context":[140],"especially":[147],"smaller":[149],"datasets.":[150],"Codes":[151],"are":[152],"available":[153],"at":[154],"https://github.com/mas94/ADTRS":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}