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 the easily ...

LIFT uses an LLM-based text encoder f text to pre-compute the embedding z T for each text sample T offline. During training, we solely update the image encoder f θ img and the projection head f ϕ head ...

The fastest and safest AV1 encoder. Contribute to xiph/rav1e development by creating an account on GitHub.

Generative adversarial networks (GAN) have shown great potential for image quality improvement in low-dose CT (LDCT). In general, the shallow features of generator include more shallow visual ...