pdf:unmappedUnicodeCharsPerPage: 0
pdf:PDFVersion: 1.4
pdf:docinfo:title: ACDC: The Adverse Conditions Dataset With Correspondences for Semantic Driving Scene Understanding
access_permission:modify_annotations: true
access_permission:can_print_degraded: true
subject: IEEE International Conference on Computer Vision
dc:creator: Christos Sakaridis;  Dengxin Dai;  Luc Van Gool
dc:format: application/pdf; version=1.4
title: ACDC: The Adverse Conditions Dataset With Correspondences for Semantic Driving Scene Understanding
access_permission:fill_in_form: true
pdf:encrypted: false
dc:title: ACDC: The Adverse Conditions Dataset With Correspondences for Semantic Driving Scene Understanding
cp:subject: IEEE International Conference on Computer Vision
pdf:docinfo:subject: IEEE International Conference on Computer Vision
Content-Type: application/pdf
pdf:docinfo:creator: Christos Sakaridis;  Dengxin Dai;  Luc Van Gool
X-Parsed-By: org.apache.tika.parser.DefaultParser
creator: Christos Sakaridis;  Dengxin Dai;  Luc Van Gool
meta:author: Christos Sakaridis;  Dengxin Dai;  Luc Van Gool
access_permission:extract_for_accessibility: true
access_permission:assemble_document: true
xmpTPg:NPages: 11
pdf:charsPerPage: 3451
access_permission:extract_content: true
access_permission:can_print: true
Author: Christos Sakaridis;  Dengxin Dai;  Luc Van Gool
producer: pikepdf 3.1.0
access_permission:can_modify: true
pdf:docinfo:producer: pikepdf 3.1.0