{"id":"https://openalex.org/W2911217364","doi":"https://doi.org/10.1109/ipta.2018.8608155","title":"InNet: Learning to Detect Shadows with Injection Network","display_name":"InNet: Learning to Detect Shadows with Injection Network","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2911217364","doi":"https://doi.org/10.1109/ipta.2018.8608155","mag":"2911217364"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2018.8608155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2018.8608155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA)","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/A5051764820","display_name":"Zetao Jiang","orcid":"https://orcid.org/0000-0002-0914-2131"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyue Jiang","raw_affiliation_strings":["Northwestern Polytechnical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036002238","display_name":"Zhongyun Hu","orcid":"https://orcid.org/0000-0003-3604-4729"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyun Hu","raw_affiliation_strings":["Northwestern Polytechnical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074452505","display_name":"Yue Ni","orcid":"https://orcid.org/0000-0002-1059-9577"},"institutions":[{"id":"https://openalex.org/I68581759","display_name":"China Academy of Launch Vehicle Technology","ror":"https://ror.org/012z62f48","country_code":"CN","type":"facility","lineage":["https://openalex.org/I68581759"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Ni","raw_affiliation_strings":["Reaserach & Development Centre China, Academy of Launch Vehicle Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reaserach & Development Centre China, Academy of Launch Vehicle Technology","institution_ids":["https://openalex.org/I68581759"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.106,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49590873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.998199999332428,"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/T11019","display_name":"Image Enhancement Techniques","score":0.993399977684021,"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":0.898164689540863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8043566942214966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6978772282600403},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6680946350097656},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6514527201652527},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5661106109619141},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5392853617668152},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5381551384925842},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5005409717559814},{"id":"https://openalex.org/keywords/shadow-mapping","display_name":"Shadow mapping","score":0.4921104311943054},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.46163177490234375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33341801166534424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09002193808555603}],"concepts":[{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.898164689540863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8043566942214966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6978772282600403},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6680946350097656},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6514527201652527},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5661106109619141},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5392853617668152},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5381551384925842},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5005409717559814},{"id":"https://openalex.org/C116544410","wikidata":"https://www.wikidata.org/wiki/Q1478122","display_name":"Shadow mapping","level":2,"score":0.4921104311943054},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.46163177490234375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33341801166534424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09002193808555603},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2018.8608155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2018.8608155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA)","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":33,"referenced_works":["https://openalex.org/W1576148925","https://openalex.org/W1816614560","https://openalex.org/W1884470205","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1906669240","https://openalex.org/W1970790442","https://openalex.org/W1976363322","https://openalex.org/W2004009863","https://openalex.org/W2022686119","https://openalex.org/W2027850463","https://openalex.org/W2067191022","https://openalex.org/W2095930126","https://openalex.org/W2107884096","https://openalex.org/W2113449189","https://openalex.org/W2116143083","https://openalex.org/W2121850768","https://openalex.org/W2126409658","https://openalex.org/W2141562793","https://openalex.org/W2147558395","https://openalex.org/W2147880316","https://openalex.org/W2164500538","https://openalex.org/W2166502676","https://openalex.org/W2206865673","https://openalex.org/W2252574053","https://openalex.org/W2519623608","https://openalex.org/W2777654136","https://openalex.org/W2806678397","https://openalex.org/W6634384407","https://openalex.org/W6639380560","https://openalex.org/W6639824700","https://openalex.org/W6678203081","https://openalex.org/W6682082992"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W1504907250","https://openalex.org/W4387143966","https://openalex.org/W4200295500"],"abstract_inverted_index":{"Shadows":[0],"bring":[1],"great":[2],"challenges":[3],"but":[4],"also":[5],"play":[6],"essential":[7],"roles":[8],"in":[9],"image":[10,54],"understanding.":[11],"Most":[12],"recent":[13],"shadow":[14,33,49,104,117,121,151],"detection":[15,34,152],"methods":[16,138],"are":[17,139],"based":[18],"on":[19,112,142,150],"patches,":[20],"then":[21],"further":[22],"reasoning":[23],"method":[24,123],"is":[25,45,67,85,124],"required":[26],"for":[27,36,51,87],"the":[28,52,64,72,88,96,107,113,128,134,136],"obtaining":[29],"of":[30,103,115,131],"a":[31,81,120],"completed":[32],"result":[35],"an":[37,42],"image.":[38],"In":[39,56,133],"this":[40,92],"paper,":[41],"injection":[43],"network":[44,89,97,109],"proposed":[46,86,108,125,137],"to":[47,58,69,77,101,126],"detect":[48],"regions":[50],"whole":[53],"directly.":[55],"order":[57],"maintain":[59],"as":[60,62],"many":[61],"details,":[63],"skip":[65],"structure":[66],"applied":[68],"directly":[70],"inject":[71],"details":[73],"from":[74],"convolutional":[75],"layers":[76],"de-convolutional":[78],"layers.":[79],"Meanwhile,":[80],"weighted":[82],"loss":[83,94],"function":[84],"training.":[90],"With":[91],"adapted":[93],"function,":[95],"becomes":[98],"more":[99],"sensitive":[100],"errors":[102],"regions.":[105],"Thus":[106],"can":[110],"focus":[111],"learning":[114],"robust":[116],"features.":[118],"Furthermore,":[119],"refinement":[122],"optimize":[127],"boundary":[129],"region":[130],"shadows.":[132],"experiments,":[135],"extensively":[140],"evaluated":[141],"two":[143],"popular":[144],"datasets":[145],"and":[146],"shown":[147],"better":[148],"performance":[149],"compared":[153],"with":[154],"current":[155],"methods.":[156]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
