{"id":"https://openalex.org/W7155520767","doi":"https://doi.org/10.48550/arxiv.2604.21349","title":"Trust-SSL: Additive-Residual Selective Invariance for Robust Aerial Self-Supervised Learning","display_name":"Trust-SSL: Additive-Residual Selective Invariance for Robust Aerial Self-Supervised Learning","publication_year":2026,"publication_date":"2026-04-23","ids":{"openalex":"https://openalex.org/W7155520767","doi":"https://doi.org/10.48550/arxiv.2604.21349"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.21349","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21349","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.21349","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042123158","display_name":"Wadii Boulila","orcid":"https://orcid.org/0000-0003-2133-0757"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Boulila, Wadii","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134491239","display_name":"Adel Ammar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ammar, Adel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134478419","display_name":"Bilel Benjdira","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Benjdira, Bilel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134466391","display_name":"Maha Driss","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Driss, Maha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042123158"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.2207999974489212,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.2207999974489212,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.16580000519752502,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.13979999721050262,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.6967999935150146},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.6732000112533569},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.647599995136261},{"id":"https://openalex.org/keywords/quaternion","display_name":"Quaternion","score":0.5253999829292297},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.5195000171661377},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3944000005722046},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.36890000104904175},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.36739999055862427}],"concepts":[{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.6967999935150146},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.6732000112533569},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.647599995136261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5536999702453613},{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.5253999829292297},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.5195000171661377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4950000047683716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4196999967098236},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3944000005722046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3763999938964844},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.36890000104904175},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.36739999055862427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3571000099182129},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3456999957561493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31929999589920044},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.3093000054359436},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2890999913215637},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.21349","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21349","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.21349","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21349","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8179091811180115}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Self-supervised":[0],"learning":[1,9],"(SSL)":[2],"is":[3,102,117,221,252],"a":[4,48,51,66,81,110,114,118,134,138,201,244],"standard":[5],"approach":[6,130],"for":[7,161,165,248],"representation":[8],"in":[10,197],"aerial":[11,29],"imagery.":[12],"Existing":[13],"methods":[14],"enforce":[15],"invariance":[16],"between":[17,47],"augmented":[18],"views,":[19],"which":[20],"works":[21],"well":[22],"when":[23],"augmentations":[24],"preserve":[25],"semantic":[26],"content.":[27],"However,":[28],"images":[30],"are":[31],"frequently":[32],"degraded":[33,53],"by":[34],"haze,":[35],"motion":[36],"blur,":[37],"rain,":[38],"and":[39,50,69,155,163,214,239],"occlusion":[40],"that":[41],"remove":[42],"critical":[43],"evidence.":[44],"Enforcing":[45],"alignment":[46,88],"clean":[49],"severely":[52],"view":[54],"can":[55],"introduce":[56],"spurious":[57],"structure":[58],"into":[59,86],"the":[60,87,92,105,125,141,144,169,218,222],"latent":[61],"space.":[62],"This":[63],"study":[64],"proposes":[65],"training":[67],"strategy":[68],"architectural":[70],"modification":[71],"to":[72,76,104,159,194],"enhance":[73],"SSL":[74],"robustness":[75],"such":[77],"corruptions.":[78],"It":[79,167],"introduces":[80,234],"per-sample,":[82],"per-factor":[83],"trust":[84,106],"weight":[85,107],"objective,":[89],"combined":[90],"with":[91],"base":[93],"contrastive":[94],"loss":[95],"as":[96],"an":[97],"additive":[98],"residual.":[99],"A":[100],"stop-gradient":[101],"applied":[103],"instead":[108],"of":[109,192,225,237],"multiplicative":[111,115],"gate.":[112],"While":[113],"gate":[116],"natural":[119],"choice,":[120],"experiments":[121],"show":[122],"it":[123],"impairs":[124],"backbone,":[126],"whereas":[127],"our":[128],"additive-residual":[129,219],"improves":[131],"it.":[132],"Using":[133],"200-epoch":[135],"protocol":[136],"on":[137,152,176,180,200],"210,000-image":[139],"corpus,":[140],"method":[142,187],"achieves":[143],"highest":[145],"mean":[146],"linear-probe":[147],"accuracy":[148],"among":[149],"six":[150],"backbones":[151],"EuroSAT,":[153],"AID,":[154],"NWPU-RESISC45":[156],"(90.20%":[157],"compared":[158],"88.46%":[160],"SimCLR":[162],"89.82%":[164],"VICReg).":[166],"yields":[168],"largest":[170],"improvements":[171],"under":[172],"severe":[173],"information-erasing":[174],"corruptions":[175],"EuroSAT":[177],"(+19.9":[178],"points":[179,196],"haze":[181],"at":[182,255],"s=5":[183],"over":[184],"SimCLR).":[185],"The":[186],"also":[188],"demonstrates":[189],"consistent":[190],"gains":[191],"+1":[193],"+3":[195],"Mahalanobis":[198],"AUROC":[199],"zero-shot":[202],"cross-domain":[203],"stress":[204],"test":[205],"using":[206,231],"BDD100K":[207],"weather":[208],"splits.":[209],"Two":[210],"ablations":[211],"(scalar":[212],"uncertainty":[213],"cosine":[215],"gate)":[216],"indicate":[217],"formulation":[220],"primary":[223],"source":[224],"these":[226],"improvements.":[227],"An":[228],"evidential":[229],"variant":[230],"Dempster-Shafer":[232],"fusion":[233],"interpretable":[235],"signals":[236],"conflict":[238],"ignorance.":[240],"These":[241],"findings":[242],"offer":[243],"concrete":[245],"design":[246],"principle":[247],"uncertainty-aware":[249],"SSL.":[250],"Code":[251],"publicly":[253],"available":[254],"https://github.com/WadiiBoulila/trust-ssl.":[256]},"counts_by_year":[],"updated_date":"2026-04-25T06:06:54.107920","created_date":"2026-04-25T00:00:00"}