MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning-Reference-Cited by-同舟云学术

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MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Chen Shiming¹,Hong Ziming¹,Xie Guo-Sen²,Yang Wenhan³,Peng Qinmu¹,Wang Kai⁴,Zhao Jian⁵,You Xinge¹

Affiliation:

1. Huazhong University of Science and Technology (HUST),China

2. Nanjing University of Science and Technology,China

3. Nanyang Technological University,Singapore

4. National University of Singapore,Singapore

5. Institute of North Electronic Equipment,China

Funder

NSFC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879914.pdf?arnumber=9879914

Reference54 articles.

1. Suppressing Uncertainties for Large-Scale Facial Expression Recognition

2. Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning

3. Fitnets: Hints for thin deep nets;romero;ICLRE,0

4. An embarrassingly simple approach to zero-shot learning;romera-paredes;ICML,0

5. Glove: Global Vectors for Word Representation

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4. A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning;Neural Networks;2024-11

5. Consistent representation joint adaptive adjustment for incremental zero-shot learning;Neurocomputing;2024-11

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