PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies-Reference-Cited by-同舟云学术

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PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies

Published:2023-05 Issue: Volume:534 Page:147-160
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Astrid Marcella,Zaheer Muhammad Zaigham,Lee Seung-Ik

Funder

IITP

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference91 articles.

1. Hierarchical deep click feature prediction for fine-grained image recognition;Yu;IEEE Trans. Pattern Anal. Mach. Intell.,2019

2. Generating training images with different angles by gan for improving grocery product image recognition;Wei;Neurocomputing,2022

3. Skeleton-based similar action recognition through integrating the salient image feature into a center-connected graph convolutional network;Bai;Neurocomputing,2022

4. Video augmentation technique for human action recognition using genetic algorithm;Nida;ETRI J.,2022

5. Multimodal deep autoencoder for human pose recovery;Hong;IEEE Trans. Image Process.,2015

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