{"id":"https://openalex.org/W4407691424","doi":"https://doi.org/10.1109/iceic64972.2025.10879608","title":"Unpaired Shadow Removal: Enhancing Attention to Shadow Areas via Dropkey","display_name":"Unpaired Shadow Removal: Enhancing Attention to Shadow Areas via Dropkey","publication_year":2025,"publication_date":"2025-01-19","ids":{"openalex":"https://openalex.org/W4407691424","doi":"https://doi.org/10.1109/iceic64972.2025.10879608"},"language":"en","primary_location":{"id":"doi:10.1109/iceic64972.2025.10879608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic64972.2025.10879608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5075254600","display_name":"Jaewon Yang","orcid":"https://orcid.org/0000-0001-7637-0436"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaewon Yang","raw_affiliation_strings":["Chungnam National University,Dept. of Electronics Engineering,Daejeon,South Korea"],"affiliations":[{"raw_affiliation_string":"Chungnam National University,Dept. of Electronics Engineering,Daejeon,South Korea","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087689436","display_name":"Ukcheol Shin","orcid":"https://orcid.org/0000-0001-8363-9886"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ukcheol Shin","raw_affiliation_strings":["Robotics Institute Carnegie Mellon University,Pittsburgh,USA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute Carnegie Mellon University,Pittsburgh,USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016424347","display_name":"Donghyeon Cho","orcid":"https://orcid.org/0000-0002-2184-921X"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Donghyeon Cho","raw_affiliation_strings":["Hanyang University,Dept. of Computer Science,Seoul,South Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University,Dept. of Computer Science,Seoul,South Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075254600"],"corresponding_institution_ids":["https://openalex.org/I196345858"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04464823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9606000185012817,"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/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9606000185012817,"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/T11996","display_name":"Random lasers and scattering media","score":0.9587000012397766,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9253000020980835,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.8205201625823975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47747278213500977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40269535779953003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3705238699913025},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1640348732471466}],"concepts":[{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.8205201625823975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47747278213500977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40269535779953003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3705238699913025},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1640348732471466},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic64972.2025.10879608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic64972.2025.10879608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1998270967","https://openalex.org/W2085910047","https://openalex.org/W2130210787","https://openalex.org/W2143373691","https://openalex.org/W2331128040","https://openalex.org/W2412862597","https://openalex.org/W2506817861","https://openalex.org/W2740832349","https://openalex.org/W2923942255","https://openalex.org/W2962793481","https://openalex.org/W2963014378","https://openalex.org/W2963073614","https://openalex.org/W2969816136","https://openalex.org/W2997378071","https://openalex.org/W3037777882","https://openalex.org/W3109116870","https://openalex.org/W3176932505","https://openalex.org/W3178680498","https://openalex.org/W3202215329","https://openalex.org/W4312862560","https://openalex.org/W4382240787","https://openalex.org/W4385804897","https://openalex.org/W4386065847","https://openalex.org/W6767255529"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","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"],"abstract_inverted_index":{"Shadows":[0],"appear":[1],"in":[2,27,47,56,107],"image":[3,21,42],"areas":[4,61,77,95,121],"where":[5],"an":[6],"object":[7,28],"obstructs":[8],"the":[9,108,111,135],"light":[10],"path.":[11],"These":[12],"areas,":[13,19],"having":[14],"lower":[15],"values":[16],"than":[17],"non-shadow":[18,76],"degrade":[20],"quality":[22],"and":[23,30,40,75,102,126,156],"lead":[24],"to":[25,92,116,137,162],"issues":[26],"recognition":[29],"segmentation.":[31],"Supervised":[32],"shadow":[33,39,52,60,94,120,149],"removal":[34,53],"depends":[35],"on":[36,59,119],"datasets":[37,147],"with":[38],"shadow-free":[41],"pairs,":[43],"sparking":[44],"increased":[45],"interest":[46],"unpaired":[48,51,164],"techniques.":[49],"However,":[50],"faces":[54],"challenges":[55],"accurately":[57],"focusing":[58],"without":[62],"direct":[63],"supervisory":[64],"signals":[65],"from":[66,80],"ground":[67],"truth.":[68],"Consequently,":[69],"shadows":[70],"are":[71],"not":[72],"effectively":[73],"removed,":[74],"may":[78],"suffer":[79],"unintended":[81],"distortions.":[82],"In":[83],"this":[84],"paper,":[85],"we":[86],"introduce":[87],"a":[88,123,127],"transformer-based":[89],"network":[90,113],"designed":[91],"identify":[93],"accurately,":[96],"leveraging":[97],"global":[98],"context":[99],"through":[100],"spatial":[101],"channel":[103],"attention":[104],"mechanisms.":[105],"Additionally,":[106],"training":[109],"phase,":[110],"transformer":[112],"is":[114,142],"trained":[115],"precisely":[117],"concentrate":[118],"using":[122],"domain":[124],"classifier":[125],"dropkey":[128],"mechanism,":[129],"which":[130],"randomly":[131],"drops":[132],"features":[133],"of":[134],"keys":[136],"enhance":[138],"focus.":[139],"Our":[140],"method":[141],"tested":[143],"across":[144],"several":[145],"benchmark":[146],"for":[148],"removal,":[150],"such":[151],"as":[152],"ISTD,":[153],"ISTD+,":[154],"SRD":[155],"WSRD,":[157],"demonstrating":[158],"better":[159],"performance":[160],"compared":[161],"current":[163],"approaches.":[165]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}