Výsledky vyhledávání - conditional variational autoencoder adaptive (synthetic* OR synthesis*)~

Inference-Reconstruction Variational Autoencoder for Light Field Image Reconstruction Autor Han, Kang, Xiang, Wei

“… In this paper, we propose an inference-reconstruction variational autoencoder (IR-VAE) to reconstruct a dense light field image out of four corner reference views in a light field image…”
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Aviation Fuel Pump Fault Diagnosis Based on Conditional Variational Self-Encoder Adaptive Synthetic Less Data Enhancement Autor Liu, Tiejun, Zhang, Yaoping, Yin, Xiaojing, He, Weidong

“… To address this challenge, this paper proposes a fault diagnosis method for aircraft fuel pumps based on adaptive synthetic data augmentation using a Conditional Variational Autoencoder (CVAE…”
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Semi-Identical Twins Variational AutoEncoder for Few-Shot Learning Autor Zhang, Yi, Huang, Sheng, Peng, Xi, Yang, Dan

“… Inspired by some genetic characteristics of semi-identical twins, a novel multimodal generative FSL approach was developed named semi-identical twins variational autoencoder (STVAE…”
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Improving SMOTE via fusing conditional VAE for data-adaptive noise filtering: Improving SMOTE via fusing conditional VAE for data-adaptive noise filtering Autor Hong, Sungchul, An, Seunghwan, Jeon, Jong-June

“…). We investigate the problem of the generative model for imbalanced classification and introduce a framework to enhance the SMOTE algorithm using Variational Autoencoders (VAE…”
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CaRoLS: Condition-adaptive multi-level road layout synthesis Autor Feng, Tian, Li, Long, Li, Weitao, Li, Bo, Shen, Junao

“… We propose CaRoLS, a unified two-stage method for condition-adaptive multi-level road layout synthesis…”
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Conditional Generative Adversarial Network Based on Self-Attention Mechanism and VAE Algorithm and Its Applications Autor Yang, Jianing, Zhao, Yanming, Jia, Zhiwei

“… Based on this, the paper proposes a "Conditional Generative Adversarial Network based on self-attention mechanism and Variational Autoencoder (VAE…”
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GenAI-Based Jamming and Spoofing Attacks on UAVs Autor Sonmez Sarikaya, Burcu, Bahtiyar, Serif

“… We use Variational Autoencoder, Gaussian Copula, Denoising Diffusion Probabilistic Model (DDPM…”
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Optimizing Diffusion Model Training Efficiency to Generate High-Resolution Images Autor Wang, Junhua, Jiang, Yuan

“…, and constructs a fusion architecture of conditional input and latent representation. This paper uses Vector Quantized-Variational AutoEncoder (VQ-VAE…”
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Risk Estimation for Financial Contracts: Data Imbalance Elimination and Impact of Different Data Rates Autor Caliskan, Elif Ezel, Yildizak, Burak, Ozcan, Dogan, Salbacak, Gurbet Alpay, Vural, Ulas, Aydin, Tarkan

“…), Adaptive Synthetic Sampling Approach for Imbalanced Learning (ADASYN), Tabular Variational Autoencoder (TVAE…”
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Double Branch Image Dehazing Algorithm Based on Probabilistic Uncertainty Modeling Autor Zhou, Yuchao, Sun, Hongyu, Dong, Jingwei, Yan, Yinuo, Shao, Luyang

“…: distribution estimation and consensus decision-making: (1) constructing latent space distributions through Conditional Variational Autoencoder (CVAE…”
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Deep Probabilistic Modeling for Causal Inference and Decision Making Autor Wu, Yulun

“… Prior works using variational inference in counterfactual generative modeling have been focusing…”
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Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering Autor Hong, Sungchul, An, Seunghwan, Jong-June Jeon

“…). We investigate the problem of the generative model for imbalanced classification and introduce a framework to enhance the SMOTE algorithm using Variational Autoencoders (VAE…”
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A Learning-Based Integrated Framework of Motion Prediction and Planning for Connected and Automated Vehicles: Towards Interaction, Multi-Modality, and Relational Reasoning Autor Wu, Keshu

“…Predicting vehicle trajectories and ensuring safe and efficient trajectory planning are critical for the operational efficiency and safety of automated…”
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Deep Learning Methods for Fingerprint-Based Indoor and Outdoor Positioning Autor Alhomayani, Fahad

“…Outdoor positioning systems based on the Global Navigation Satellite System have several shortcomings that have deemed their use for indoor positioning…”
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