Deep One-Class Classification Using Intra-Class Splitting
Explore this paper's citation graph
- Type
- article
- Published
- 2019-02-04
- Cited by
- 30
- References
- 24
- Access
- Open access
- OpenAlex
- https://openalex.org/W2922340657
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:75137296
Keywords
Subnetwork, Pattern recognition (psychology), Artificial neural network, Class (philosophy), Binary number
References
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction
- Estimating the Support of a High-Dimensional Distribution
- The use of the area under the ROC curve in the evaluation of machine learning algorithms
- Histograms of oriented gradients for human detection
- ImageNet classification with deep convolutional neural networks
- Generating Images with Perceptual Similarity Metrics based on Deep Networks
- Isolation Forest
- Support Vector Data Description
- Anomaly Detection with Robust Deep Autoencoders
- Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
- Learning Deep Features for One-Class Classification
- Anomaly Detection using One-Class Neural Networks
- Deep One-Class Classification
- Complementary Set Variational Autoencoder for Supervised Anomaly Detection
- Perceptual Losses for Real-Time Style Transfer and Super-Resolution
- Clustering and Unsupervised Anomaly Detection with l2 Normalized Deep Auto-Encoder Representations
- Deep Learning
Cited by
- Deep Open Set Recognition Using Dynamic Intra-class Splitting
- OCmst: One-class Novelty Detection using Convolutional Neural Network and Minimum Spanning Trees
- A Learning-Aided Generic Framework for Fault Detection and Recovery of Inertial Sensors in Automated Driving Systems
- HRN: A Holistic Approach to One Class Learning
- Anomaly detection using improved deep SVDD model with data structure preservation
- Margin-aware intraclass novelty identification for medical images
- Unsupervised fault detection and recovery for intelligent robotic rollators
- A literature review on one-class classification and its potential applications in big data
- Anomaly Detection Based on Selection and Weighting in Latent Space
- Semantic Novelty Detection in Natural Language Descriptions
- One-Class LSTM Network for Anomalous Network Traffic Detection
- Deep Metric Learning-Based Strawberry Disease Detection With Unknowns
- Deep Feature Selection Using a Novel Complementary Feature Mask
- Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities
- Pseudo-Supervised Defect Detection Using Robust Deep Convolutional Autoencoders
- To Generalize or Not to Generalize: Towards Autoencoders in One-Class Classification
- Efficient and Robust Resistive Open Defect Detection Based on Unsupervised Deep Learning
- A Review of Neural Networks for Anomaly Detection
- Sparse random neural networks for online anomaly detection on sensor nodes
- Robust one-class classification using deep kernel spectral regression
Related papers
No related papers recorded.