date: 2021-10-13T14:44:22Z pdf:PDFVersion: 1.6 pdf:docinfo:title: Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations xmp:CreatorTool: Springer access_permission:can_print_degraded: true subject: International Journal of Computer Vision, https://doi.org/10.1007/s11263-021-01498-0 pdfa:PDFVersion: A-2b xmpMM:History:Action: converted language: EN dc:format: application/pdf; version=1.6 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Springer access_permission:fill_in_form: true xmpMM:History:When: 2021-10-13T20:13:27Z pdf:encrypted: false dc:title: Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations modified: 2021-10-13T14:44:22Z cp:subject: International Journal of Computer Vision, https://doi.org/10.1007/s11263-021-01498-0 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/s11263-021-01498-0 xmpMM:History:InstanceID: uuid:69db6793-d5b5-4e9b-beb3-a7a2bd2ad2c5 pdf:docinfo:creator: Max Losch meta:author: Mario Fritz meta:creation-date: 2021-09-09T16:33:43Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23 created: 2021-09-09T16:33:43Z access_permission:extract_for_accessibility: true Creation-Date: 2021-09-09T16:33:43Z pdfaid:part: 2 pdf:docinfo:custom:CrossMarkDomains[2]: springerlink.com pdf:docinfo:custom:doi: 10.1007/s11263-021-01498-0 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Mario Fritz producer: Acrobat Distiller 10.1.8 (Windows) CrossmarkDomainExclusive: true pdf:docinfo:producer: Acrobat Distiller 10.1.8 (Windows) doi: 10.1007/s11263-021-01498-0 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: International Journal of Computer Vision, https://doi.org/10.1007/s11263-021-01498-0 Keywords: Explainable AI,Inspectability,Interpretability,Semantic segmentation,Representation learning access_permission:modify_annotations: true dc:creator: Mario Fritz description: International Journal of Computer Vision, https://doi.org/10.1007/s11263-021-01498-0 dcterms:created: 2021-09-09T16:33:43Z Last-Modified: 2021-10-13T14:44:22Z dcterms:modified: 2021-10-13T14:44:22Z title: Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations xmpMM:DocumentID: uuid:3b865d4c-3b1b-450f-8aed-958234e686cb Last-Save-Date: 2021-10-13T14:44:22Z CrossMarkDomains[1]: springer.com pdf:docinfo:keywords: Explainable AI,Inspectability,Interpretability,Semantic segmentation,Representation learning pdf:docinfo:modified: 2021-10-13T14:44:22Z meta:save-date: 2021-10-13T14:44:22Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Mario Fritz pdfaid:conformance: B dc:language: EN dc:subject: Explainable AI,Inspectability,Interpretability,Semantic segmentation,Representation learning access_permission:assemble_document: true xmpTPg:NPages: 18 pdf:charsPerPage: 3493 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: springerlink.com meta:keyword: Explainable AI,Inspectability,Interpretability,Semantic segmentation,Representation learning access_permission:can_modify: true pdf:docinfo:created: 2021-09-09T16:33:43Z CrossmarkMajorVersionDate: 2010-04-23