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Found 4 papers, 0 papers with code
A novel fault localization with data refinement for hydroelectric units
Due to the scarcity of fault samples and the complexity of non-linear and non-smooth characteristics data in hydroelectric units, most of the traditional hydroelectric unit fault localization methods are difficult to carry out accurate localization.
Few-shot fault diagnosis based on multi-scale graph convolution filtering for industry
Industrial equipment fault diagnosis often encounter challenges such as the scarcity of fault data, complex operating conditions, and varied types of failures.
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
In MDPS, the problem of normal image reconstruction is mathematically modeled as multiple diffusion posterior sampling for normal images based on the devised masked noisy observation model and the diffusion-based normal image prior under Bayesian framework.
Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation
RGB-T semantic segmentation has been widely adopted to handle hard scenes with poor lighting conditions by fusing different modality features of RGB and thermal images.
Ranked #13 on
Thermal Image Segmentation
on MFN Dataset
