date: 2021-11-24T11:17:14Z pdf:unmappedUnicodeCharsPerPage: 0 pdf:PDFVersion: 1.3 pdf:docinfo:title: Learning Graph Embeddings for Compositional Zero-Shot Learning dc:description: IEEE Conference on Computer Vision and Pattern Recognition access_permission:modify_annotations: true access_permission:can_print_degraded: true subject: IEEE Conference on Computer Vision and Pattern Recognition dc:creator: Muhammad Ferjad Naeem description: IEEE Conference on Computer Vision and Pattern Recognition Last-Modified: 2021-11-24T11:17:14Z dcterms:modified: 2021-11-24T11:17:14Z dc:format: application/pdf; version=1.3 title: Learning Graph Embeddings for Compositional Zero-Shot Learning xmpMM:DocumentID: uuid:2666ba5b-df45-4742-a415-953652d092e0 Last-Save-Date: 2021-11-24T11:17:14Z access_permission:fill_in_form: true pdf:docinfo:modified: 2021-11-24T11:17:14Z meta:save-date: 2021-11-24T11:17:14Z pdf:encrypted: false dc:title: Learning Graph Embeddings for Compositional Zero-Shot Learning modified: 2021-11-24T11:17:14Z cp:subject: IEEE Conference on Computer Vision and Pattern Recognition pdf:docinfo:subject: IEEE Conference on Computer Vision and Pattern Recognition Content-Type: application/pdf pdf:docinfo:creator: Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Muhammad Ferjad Naeem meta:author: Muhammad Ferjad Naeem access_permission:extract_for_accessibility: true access_permission:assemble_document: true xmpTPg:NPages: 10 pdf:charsPerPage: 3814 access_permission:extract_content: true access_permission:can_print: true Author: Muhammad Ferjad Naeem producer: PyPDF2 access_permission:can_modify: true pdf:docinfo:producer: PyPDF2