{"id":"https://openalex.org/W7161085380","doi":"https://doi.org/10.48550/arxiv.2605.11771","title":"Revisiting Shadow Detection from a Vision-Language Perspective","display_name":"Revisiting Shadow Detection from a Vision-Language Perspective","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7161085380","doi":"https://doi.org/10.48550/arxiv.2605.11771"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.11771","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11771","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.11771","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136019973","display_name":"Yonghui Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yonghui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Liu, Shaokai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Shaokai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136047404","display_name":"Wengang Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Wengang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136022511","display_name":"Hao Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Li, Houqiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Houqiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.6934000253677368,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.6934000253677368,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.04430000111460686,"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/T11448","display_name":"Face recognition and analysis","score":0.04349999874830246,"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/shadow","display_name":"Shadow (psychology)","score":0.7299000024795532},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6316999793052673},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.623199999332428},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5436999797821045},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47519999742507935},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4383000135421753},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4359999895095825},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3901999890804291}],"concepts":[{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.7299000024795532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6855999827384949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6513000130653381},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6316999793052673},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.623199999332428},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5436999797821045},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5054000020027161},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47519999742507935},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4383000135421753},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4359999895095825},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3901999890804291},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3824000060558319},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.36000001430511475},{"id":"https://openalex.org/C136979486","wikidata":"https://www.wikidata.org/wiki/Q773483","display_name":"Existential quantification","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.27630001306533813},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C15123163","wikidata":"https://www.wikidata.org/wiki/Q500096","display_name":"Psychophysics","level":3,"score":0.25619998574256897},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.11771","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11771","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.11771","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11771","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":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.596483051776886}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Shadow":[0,91],"detection":[1,67,169],"is":[2,187],"commonly":[3],"formulated":[4],"as":[5,97],"a":[6,57,69,90,141,155],"vision-driven":[7],"dense":[8,130],"prediction":[9,76,131],"problem,":[10],"where":[11,35],"models":[12],"rely":[13],"primarily":[14],"on":[15,140,166],"pixel-wise":[16],"visual":[17,51,84],"supervision":[18],"to":[19,42,46,102,129],"distinguish":[20],"shadows":[21,44,104],"from":[22,68,78,105],"non-shadow":[23],"regions.":[24,109],"However,":[25],"this":[26,62,126],"formulation":[27],"can":[28],"become":[29],"unreliable":[30],"in":[31],"visually":[32,106,183],"ambiguous":[33,184],"cases,":[34],"similar":[36,107],"dark":[37,48,108],"regions":[38],"may":[39],"correspond":[40],"either":[41],"cast":[43],"or":[45],"intrinsically":[47],"surfaces,":[49],"making":[50],"evidence":[52],"alone":[53],"insufficient":[54],"for":[55],"establishing":[56],"stable":[58],"decision":[59],"rule.":[60],"In":[61],"work,":[63],"we":[64],"revisit":[65],"shadow":[66,121,168],"vision--language":[70],"perspective":[71],"and":[72,124,135,151,179],"argue":[73],"that":[74,94],"robust":[75],"benefits":[77],"an":[79,98],"explicit":[80,99],"semantic":[81,100,127],"reference":[82,101],"beyond":[83],"cues":[85],"alone.":[86],"We":[87],"propose":[88],"SVL,":[89],"Vision--Language":[92],"framework":[93],"uses":[95],"language":[96],"disambiguate":[103],"SVL":[110,146],"aligns":[111],"global":[112],"image":[113,144],"representations":[114],"with":[115,158],"shadow-related":[116],"text":[117],"embeddings":[118],"through":[119],"scene-level":[120],"ratio":[122],"regression,":[123],"transfers":[125],"guidance":[128],"via":[132],"global-to-local":[133],"coupling":[134],"local":[136],"patch-level":[137],"constraints.":[138],"Built":[139],"frozen":[142],"DINOv3":[143],"encoder,":[145],"learns":[147],"only":[148],"lightweight":[149],"projection":[150],"decoding":[152],"modules,":[153],"yielding":[154],"parameter-efficient":[156],"design":[157],"less":[159],"than":[160],"$1\\%$":[161],"trainable":[162],"parameters.":[163],"Extensive":[164],"experiments":[165],"multiple":[167],"benchmarks,":[170],"including":[171],"dedicated":[172],"hard-case":[173],"evaluations,":[174],"suggest":[175],"strong":[176],"overall":[177],"performance":[178],"improved":[180],"robustness":[181],"under":[182],"conditions.":[185],"Code":[186],"available":[188],"at":[189],"https://github.com/harrytea/SVL.":[190]},"counts_by_year":[],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2026-05-14T00:00:00"}
