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Found 4 papers, 1 papers with code
SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion Model
Diffusion models are widely used in image generation because they can generate high-quality and realistic samples.
Two-stage Rainfall-Forecasting Diffusion Model
The task of the second stage is to reconstruct the low-resolution images generated in the first stage into high-resolution images.
Sequential Random Network for Fine-grained Image Classification
To address this issue, we use the proposed SRN which composed of BiLSTM and several Tanh-Dropout blocks (called BiLSTM-TDN), to further process DCNN one-dimensional features for highlighting the detail information of image.
LGLG-WPCA: An Effective Texture-based Method for Face Recognition
Experiments show the proposed methods are effective and promising for face texture feature extraction and the combination of the feature of the proposed methods and the features of Deep Convolutional Network (DCNN) achieved the best recognition accuracies on FERET database compared to the state-of-the-art methods.
