[HTML][HTML] Future of generative adversarial networks (GAN) for anomaly detection in network security: A review
Anomaly detection is crucial in various applications, particularly cybersecurity and network
intrusion. However, a common challenge across anomaly detection techniques is the …
intrusion. However, a common challenge across anomaly detection techniques is the …
Image synthesis with adversarial networks: A comprehensive survey and case studies
Abstract Generative Adversarial Networks (GANs) have been extremely successful in
various application domains such as computer vision, medicine, and natural language …
various application domains such as computer vision, medicine, and natural language …
Sequential graph convolutional network for active learning
We propose a novel pool-based Active Learning frame-work constructed on a sequential
Graph Convolution Net-work (GCN). Each image's feature from a pool of data rep-resents a …
Graph Convolution Net-work (GCN). Each image's feature from a pool of data rep-resents a …
Data augmentation classifier for imbalanced fault classification
The problem of fault classification in industry has been studied extensively. Most
classification algorithms are modeled on the premise of data balance. However, the difficulty …
classification algorithms are modeled on the premise of data balance. However, the difficulty …
Weakly-supervised domain adaptation via gan and mesh model for estimating 3d hand poses interacting objects
Despite recent successes in hand pose estimation, there yet remain challenges on RGB-
based 3D hand pose estimation (HPE) under hand-object interaction (HOI) scenarios where …
based 3D hand pose estimation (HPE) under hand-object interaction (HOI) scenarios where …
Measuring generalisation to unseen viewpoints, articulations, shapes and objects for 3D hand pose estimation under hand-object interaction
We study how well different types of approaches generalise in the task of 3D hand pose
estimation under single hand scenarios and hand-object interaction. We show that the …
estimation under single hand scenarios and hand-object interaction. We show that the …
Image-free domain generalization via clip for 3d hand pose estimation
S Lee, H Park, DU Kim, J Kim… - Proceedings of the …, 2023 - openaccess.thecvf.com
RGB-based 3D hand pose estimation has been successful for decades thanks to large-scale
databases and deep learning. However, the hand pose estimation network does not operate …
databases and deep learning. However, the hand pose estimation network does not operate …
Generative adversarial neural networks model of photonic crystal fiber based surface plasmon resonance sensor
Photonic crystal fibers (PCF) for specific applications are designed and optimized by both
industry experts and researchers. However, the potential number of design combinations …
industry experts and researchers. However, the potential number of design combinations …
Innovative synthetic data augmentation for dam crack detection, segmentation, and quantification
Although deep-learning-based approaches have demonstrated impressive performance in
object detection tasks, the requirement for large datasets of annotated training images limits …
object detection tasks, the requirement for large datasets of annotated training images limits …
[PDF][PDF] Exploring generative data augmentation in multivariate time series forecasting: opportunities and challenges
In multivariate time series (MTS), each time point constitutes multiple time-dependent
variables. Short-term and long-term correlation of these variables is a significant …
variables. Short-term and long-term correlation of these variables is a significant …