ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries
Author:
Affiliation:
1. Tsinghua University, Beijing, China
2. Meta, Menlo Park, CA, USA
3. Nanyang Technological University, Singapore
4. Beijing Jiaotong University, Beijing, China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6046/10384483/10078354.pdf?arnumber=10078354
Reference61 articles.
1. A Survey of Zero-Shot Learning
2. Recognition-by-components: A theory of human image understanding.
3. Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions
4. From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis
5. Captioning Images with Diverse Objects
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