{"id":"https://openalex.org/W2807707205","doi":"https://doi.org/10.1109/lgrs.2018.2841502","title":"Erratum to \u201cMultiscale Fully Convolutional Network for Foreground Object Detection in Infrared Videos\u201d [Apr 18 617-621]","display_name":"Erratum to \u201cMultiscale Fully Convolutional Network for Foreground Object Detection in Infrared Videos\u201d [Apr 18 617-621]","publication_year":2018,"publication_date":"2018-06-04","ids":{"openalex":"https://openalex.org/W2807707205","doi":"https://doi.org/10.1109/lgrs.2018.2841502","mag":"2807707205"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2841502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2841502","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"erratum","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/A5102933768","display_name":"Dongdong Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongdong Zeng","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9990-5162","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100612423","display_name":"Ming Zhu","orcid":"https://orcid.org/0009-0009-3694-447X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ming Zhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"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":0.43734736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":"9","first_page":"1472","last_page":"1472"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.517356812953949},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4845484793186188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4783334732055664},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.45816048979759216},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35771915316581726},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3514171242713928},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34331291913986206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.331773579120636},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.057533442974090576}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.517356812953949},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4845484793186188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4783334732055664},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.45816048979759216},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35771915316581726},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3514171242713928},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34331291913986206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.331773579120636},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.057533442974090576},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2018.2841502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2841502","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2744613561","https://openalex.org/W2793865950","https://openalex.org/W2963881378"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4293226380","https://openalex.org/W2544423928","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W4321487865","https://openalex.org/W2181413294","https://openalex.org/W4313906399"],"abstract_inverted_index":{"The":[0,52,89],"architecture":[1],"of":[2],"the":[3,49,58,61,65,68,73,79,84,98],"proposed":[4],"multiscale":[5],"fully":[6],"convolutional":[7],"network":[8],"(MFCN)":[9],"in":[10,48],"our":[11],"paper":[12],"<xref":[13,26,36,102],"ref-type=\"bibr\"":[14,27,37,103],"rid=\"ref1\"":[15],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[16,29,39,105],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">[1]</xref>":[17],"is":[18,54,95],"mainly":[19],"derived":[20,96],"from":[21,97],"a":[22,32],"salient":[23,99],"object":[24],"method":[25,35,101],"rid=\"ref2\"":[28,104],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">[2]</xref>":[30,106],"and":[31,77],"semantic":[33],"segmentation":[34],"rid=\"ref3\"":[38],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">[3]</xref>":[40],".":[41,107],"We":[42],"missed":[43],"these":[44],"two":[45],"reference":[46],"papers":[47],"original":[50],"paper.":[51],"MFCN":[53],"an":[55],"encoder-decoder":[56],"architecture;":[57],"output":[59],"has":[60],"same":[62],"size":[63],"with":[64,86],"input.":[66],"For":[67],"encoder":[69],"part,":[70,81],"we":[71,82],"use":[72],"pretrained":[74],"VGG16":[75],"network,":[76],"for":[78,92],"decoder":[80],"upsample":[83],"features":[85],"deconvolution":[87],"operations.":[88],"contrast":[90],"layer":[91],"feature":[93],"extraction":[94],"detection":[100]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}