date: 2023-05-11T04:29:19Z pdf:PDFVersion: 1.4 pdf:docinfo:title: Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation xmp:CreatorTool: Springer access_permission:can_print_degraded: true subject: International Journal of Computer Vision, https://doi.org/10.1007/s11263-023-01799-6 pdfa:PDFVersion: A-2b xmpMM:History:Action: converted language: EN dc:format: application/pdf; version=1.4 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Springer access_permission:fill_in_form: true xmpMM:History:When: 2023-05-11T09:58:29Z pdf:encrypted: false dc:title: Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation modified: 2023-05-11T04:29:19Z cp:subject: International Journal of Computer Vision, https://doi.org/10.1007/s11263-023-01799-6 xmpMM:History:SoftwareAgent: pdfToolbox pdf:docinfo:custom:CrossMarkDomains[1]: springer.com robots: noindex pdf:docinfo:subject: International Journal of Computer Vision, https://doi.org/10.1007/s11263-023-01799-6 xmpMM:History:InstanceID: uuid:442951a7-3f82-4e5e-b102-224380414248 pdf:docinfo:creator: Lukas Hoyer meta:author: Dengxin Dai meta:creation-date: 2023-05-11T04:26:54Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23 created: 2023-05-11T04:26:54Z access_permission:extract_for_accessibility: true Creation-Date: 2023-05-11T04:26:54Z pdfaid:part: 2 pdf:docinfo:custom:CrossMarkDomains[2]: springerlink.com pdf:docinfo:custom:doi: 10.1007/s11263-023-01799-6 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Dengxin Dai producer: Acrobat Distiller 10.1.8 (Windows) CrossmarkDomainExclusive: true pdf:docinfo:producer: Acrobat Distiller 10.1.8 (Windows) doi: 10.1007/s11263-023-01799-6 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: International Journal of Computer Vision, https://doi.org/10.1007/s11263-023-01799-6 Keywords: Semantic segmentation; Self-supervised depth estimation; Semi-supervised learning; Domain adaptation access_permission:modify_annotations: true dc:creator: Dengxin Dai description: International Journal of Computer Vision, https://doi.org/10.1007/s11263-023-01799-6 dcterms:created: 2023-05-11T04:26:54Z Last-Modified: 2023-05-11T04:29:19Z dcterms:modified: 2023-05-11T04:29:19Z title: Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation xmpMM:DocumentID: uuid:442951a7-3f82-4e5e-b102-224380414248 Last-Save-Date: 2023-05-11T04:29:19Z CrossMarkDomains[1]: springer.com pdf:docinfo:keywords: Semantic segmentation; Self-supervised depth estimation; Semi-supervised learning; Domain adaptation pdf:docinfo:modified: 2023-05-11T04:29:19Z meta:save-date: 2023-05-11T04:29:19Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Dengxin Dai pdfaid:conformance: B dc:language: EN dc:subject: Semantic segmentation; Self-supervised depth estimation; Semi-supervised learning; Domain adaptation access_permission:assemble_document: true xmpTPg:NPages: 27 pdf:charsPerPage: 3238 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: springerlink.com meta:keyword: Semantic segmentation; Self-supervised depth estimation; Semi-supervised learning; Domain adaptation access_permission:can_modify: true pdf:docinfo:created: 2023-05-11T04:26:54Z CrossmarkMajorVersionDate: 2010-04-23