Abstract: Unsupervised anomaly detection (UAD) aims to recognize anomalous images based ... Moreover, optimizing encoders usually causes pattern collapse in UAD. In this paper, we propose a novel UAD ...

To address these challenges, we develop a hierarchical encoder-decoder ... experiments and results in section 3. Section 4 concludes this study. In this section, we describe the proposed HED-Net in ...

In this repository, we compare statistical time series with Deep Learning (DL) models. We propose an encoder-decoder DL approach for multi-step traffic prediction. What makes encoder-decoder models an ...

The field of computer vision has shown great potential for the identification of crops at large scales based on multispectral images. However ... In this paper, we propose an improved encoder-decoder ...

The central idea is to transform output features extracted from heavy rain input images into semantic visual features associated with words and sentence context. To achieve this, a target encoder is ...