date: 2021-11-18T11:54:48Z pdf:unmappedUnicodeCharsPerPage: 0 pdf:PDFVersion: 1.3 pdf:docinfo:title: A Closer Look at Self-Training for Zero-Label Semantic Segmentation dc:description: IEEE Conference on Computer Vision and Pattern Recognition Workshops access_permission:modify_annotations: true access_permission:can_print_degraded: true subject: IEEE Conference on Computer Vision and Pattern Recognition Workshops dc:creator: Giuseppe Pastore description: IEEE Conference on Computer Vision and Pattern Recognition Workshops Last-Modified: 2021-11-18T11:54:48Z dcterms:modified: 2021-11-18T11:54:48Z dc:format: application/pdf; version=1.3 title: A Closer Look at Self-Training for Zero-Label Semantic Segmentation xmpMM:DocumentID: uuid:db4c5f01-3b2c-401f-9d9d-05d0de3c0721 Last-Save-Date: 2021-11-18T11:54:48Z access_permission:fill_in_form: true pdf:docinfo:modified: 2021-11-18T11:54:48Z meta:save-date: 2021-11-18T11:54:48Z pdf:encrypted: false dc:title: A Closer Look at Self-Training for Zero-Label Semantic Segmentation modified: 2021-11-18T11:54:48Z cp:subject: IEEE Conference on Computer Vision and Pattern Recognition Workshops pdf:docinfo:subject: IEEE Conference on Computer Vision and Pattern Recognition Workshops Content-Type: application/pdf pdf:docinfo:creator: Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Giuseppe Pastore meta:author: Giuseppe Pastore access_permission:extract_for_accessibility: true access_permission:assemble_document: true xmpTPg:NPages: 10 pdf:charsPerPage: 3483 access_permission:extract_content: true access_permission:can_print: true Author: Giuseppe Pastore producer: PyPDF2 access_permission:can_modify: true pdf:docinfo:producer: PyPDF2