Fine-Grained Feature Generation for Generalized Zero-Shot Video Classification
Author:
Affiliation:
1. School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China
Funder
National Natural Science Foundation
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9991910/10054580.pdf?arnumber=10054580
Reference83 articles.
1. Generalized Zero-Shot Video Classification via Generative Adversarial Networks
2. Visualizing Natural Language Descriptions
3. Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition
4. Video Generation From Text
5. Label-Embedding for Attribute-Based Classification
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2. Embedded Zero-Shot Image Classification Based on Bidirectional Feature Mapping;Applied Sciences;2024-06-17
3. A Semantic-Consistent Conditional Generative Adversarial Model for Zero-Shot Learning In Bearing Fault Diagnosis;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17
4. Synthetic Sample Selection for Generalized Zero-Shot Learning;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06
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