{"id":"https://openalex.org/W4413469161","doi":"https://doi.org/10.1109/tmm.2025.3599075","title":"Degradation-Equivariant Representations for Robust Feature Detection and Description in Low-Light Environments","display_name":"Degradation-Equivariant Representations for Robust Feature Detection and Description in Low-Light Environments","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413469161","doi":"https://doi.org/10.1109/tmm.2025.3599075"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3599075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3599075","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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":null,"display_name":"Fan Wang","orcid":"https://orcid.org/0009-0001-3674-4103"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wang","raw_affiliation_strings":["College of Computer Science, Sichuan University Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0001-3674-4103","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hengye Lyu","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengye Lyu","raw_affiliation_strings":["College of Computer Science, Sichuan University Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064121031","display_name":"Guanyu Xing","orcid":"https://orcid.org/0000-0001-7177-0975"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanyu Xing","raw_affiliation_strings":["College of Computer Science, Sichuan University Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0001-7177-0975","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073054497","display_name":"Yanci Zhang","orcid":"https://orcid.org/0000-0001-7045-185X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanci Zhang","raw_affiliation_strings":["College of Computer Science, Sichuan University Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091414618","display_name":"Yanli Liu","orcid":"https://orcid.org/0000-0002-3181-2699"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Liu","raw_affiliation_strings":["College of Computer Science, Sichuan University Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-3181-2699","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27054703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"7483","last_page":"7496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9236999750137329,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9236999750137329,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9226999878883362,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9074000120162964,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7899280190467834},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.7309166193008423},{"id":"https://openalex.org/keywords/equivariant-map","display_name":"Equivariant map","score":0.6813614368438721},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5942962765693665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4956439733505249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47492915391921997},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45028242468833923},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37277543544769287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12182587385177612},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08185696601867676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7899280190467834},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.7309166193008423},{"id":"https://openalex.org/C171036898","wikidata":"https://www.wikidata.org/wiki/Q256355","display_name":"Equivariant map","level":2,"score":0.6813614368438721},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5942962765693665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4956439733505249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47492915391921997},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45028242468833923},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37277543544769287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12182587385177612},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08185696601867676},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3599075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3599075","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1566004844","display_name":null,"funder_award_id":"62172290","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7483102146","display_name":null,"funder_award_id":"62472297","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W2046166954","https://openalex.org/W2058333183","https://openalex.org/W2194775991","https://openalex.org/W2799265886","https://openalex.org/W2804241536","https://openalex.org/W2963748588","https://openalex.org/W2963760790","https://openalex.org/W2963928593","https://openalex.org/W2973665503","https://openalex.org/W2982376094","https://openalex.org/W2990789488","https://openalex.org/W3034239311","https://openalex.org/W3034275286","https://openalex.org/W3034411221","https://openalex.org/W3043075211","https://openalex.org/W3043971245","https://openalex.org/W3098710403","https://openalex.org/W3106462076","https://openalex.org/W3107414506","https://openalex.org/W3107540572","https://openalex.org/W3121661546","https://openalex.org/W3134649899","https://openalex.org/W3166285241","https://openalex.org/W3175295430","https://openalex.org/W3199931265","https://openalex.org/W3204374989","https://openalex.org/W3207725967","https://openalex.org/W4200629514","https://openalex.org/W4224212712","https://openalex.org/W4230485813","https://openalex.org/W4312249431","https://openalex.org/W4312986557","https://openalex.org/W4313059954","https://openalex.org/W4378375546","https://openalex.org/W4382459910","https://openalex.org/W4386065632","https://openalex.org/W4386066362","https://openalex.org/W4386076019","https://openalex.org/W4386076158","https://openalex.org/W4386076493","https://openalex.org/W4386083040","https://openalex.org/W4388692376","https://openalex.org/W4390872507","https://openalex.org/W4390873516","https://openalex.org/W4392645473","https://openalex.org/W4402705524"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W4200043248"],"abstract_inverted_index":{"Keypoint":[0],"detection":[1,50,102,109,124],"and":[2,28,63,70,73,101,135,141,191],"matching":[3],"have":[4],"garnered":[5],"significant":[6],"attention,":[7],"yet":[8],"remain":[9],"challenging":[10],"in":[11,78,154,172,204],"low-light":[12,40,79,122,255],"environments.":[13],"Most":[14],"current":[15],"studies":[16],"follow":[17],"an":[18],"<italic":[19,88],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[20,89],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">enhance-then-detect</i>":[21],"pipeline,":[22],"which":[23,128],"consists":[24],"of":[25,39,60,99,107,185,208],"independent":[26],"enhancers":[27],"detectors.":[29],"While":[30],"the":[31,36,47,61,66,96,105,149,152,155,161,166,173,177,181,202,206,246],"enhancer":[32,62],"focuses":[33],"on":[34,240],"improving":[35],"visual":[37],"quality":[38],"images":[41,171],"to":[42,75,94,146,164,215,227],"satisfy":[43],"human":[44,69],"perception":[45],"standards,":[46],"detector":[48,64],"prioritizes":[49],"accuracy":[51,110],"for":[52,232],"machine":[53,71,115],"vision":[54,72,116],"tasks.":[55],"The":[56,194],"unaligned":[57],"optimization":[58,97],"objectives":[59,98],"overlook":[65],"gap":[67],"between":[68,133,189],"lead":[74],"sub-optimal":[76],"performance":[77],"keypoint":[80,108,123],"detection.":[81],"To":[82],"tackle":[83],"this":[84],"problem,":[85],"a":[86,121,130,220,233],"joint":[87],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">enhance-and-detect</i>":[90],"pipeline":[91],"is":[92,183,225],"proposed":[93,195,226,247],"unify":[95],"enhancement":[100],"by":[103],"regarding":[104],"improvement":[106],"with":[111],"enhanced":[112],"features":[113,150],"under":[114,253],"standards.":[117],"Specifically,":[118],"we":[119],"propose":[120],"network":[125],"named":[126],"DeRFeat,":[127],"learns":[129],"degradation-equivariant":[131,167],"representation":[132],"normal":[134,190],"dark":[136,170,178,192,209],"domains":[137],"using":[138],"AutoEncoding":[139],"transformation":[140],"domain":[142,196],"descriptor":[143,197,236],"similarity":[144,198],"constraints":[145],"indirectly":[147],"enhance":[148],"from":[151,169],"encoder":[153,163,182,203],"training":[156],"stage.":[157,175],"Then,":[158],"DeRFeat":[159],"guides":[160],"shared":[162],"obtain":[165],"representations":[168,188],"inference":[174],"With":[176],"degradation":[179,210],"predictions,":[180],"capable":[184],"generating":[186],"equivariant":[187],"domains.":[193],"module":[199],"further":[200],"aids":[201],"mitigating":[205],"impact":[207],"factors,":[211],"enabling":[212],"local":[213],"descriptors":[214],"acquire":[216],"undisturbed":[217],"representations.":[218],"Moreover,":[219],"coarse-to-fine":[221],"point":[222],"selection":[223],"strategy":[224],"provide":[228],"reliable":[229],"prior":[230],"keypoints":[231],"globally":[234],"optimal":[235],"construction.":[237],"Experimental":[238],"results":[239],"four":[241],"benchmark":[242],"datasets":[243],"demonstrate":[244],"that":[245],"method":[248],"significantly":[249],"outperforms":[250],"state-of-the-art":[251],"methods":[252],"varying":[254],"conditions.":[256]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}