MoEP-AE: Autoencoding Mixtures of Exponential Power Distributions for Open-Set Recognition-Reference-Cited by-同舟云学术

MoEP-AE: Autoencoding Mixtures of Exponential Power Distributions for Open-Set Recognition

Published:2023-01 Issue:1 Volume:33 Page:312-325
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Sun Jiayin¹^ORCID,Wang Hong²,Dong Qiulei¹^ORCID

Affiliation:

1. National Laboratory of Pattern Recognition, Institute of Automation, and the Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China

2. College of Life Science, University of Chinese Academy of Sciences, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Strategic Priority Research Program of the Chinese Academy of Sciences

Beijing Municipal Science and Technology Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10007626/09862976.pdf?arnumber=9862976

Reference60 articles.

1. Spherical Zero-Shot Learning

2. Wide residual networks;zagoruyko;arXiv 1605 07146,2016

3. A Survey of Open-World Person Re-Identification

4. Deep residual learning for image recognition;he;arXiv 1512 03385,2015

5. Unseen Face Presentation Attack Detection Using Sparse Multiple Kernel Fisher Null-Space

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Selective-generative feature representations for generalized zero-shot open-set classification by learning a tightly clustered space;Expert Systems with Applications;2024-07

2. Classifier-Head Informed Feature Masking and Prototype-Based Logit Smoothing for Out-of-Distribution Detection;IEEE Transactions on Circuits and Systems for Video Technology;2024-07

3. Conditional feature generation for transductive open-set recognition via dual-space consistent sampling;Pattern Recognition;2024-02

4. Towards Unsupervised Domain-Specific Open-World Recognition;2024

5. OpenMix+: Revisiting Data Augmentation for Open Set Recognition;IEEE Transactions on Circuits and Systems for Video Technology;2023-11