IEEE

Encoder-Decoder Contrast for Unsupervised Anomaly Detection in Medical Images

Abstract: Unsupervised anomaly detection (UAD) aims to recognize anomalous images based on the training set that contains only normal images. In medical image analysis, UAD benefits from leveraging ...
IEEE

Adaptive Encoder-Decoder Model Considering Spatio-Temporal Features for Short-Term Power Prediction of Distributed Photovoltaic Station

Abstract: Considering the impact of operation and maintenance costs and technology, there is generally a lack of sufficient meteorological observation devices within the distributed photovoltaic (PV) ...
GitHub

TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation

TernausNet is a modification of the celebrated UNet architecture that is widely used for binary Image Segmentation. For more details, please refer to our arXiv paper. Pre-trained encoder speeds up ...
GitHub

jessielw/FFMPEG-Audio-Encoder

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