IEEE

Memory-Augmented Autoencoder With Adaptive Reconstruction and Sample Attribution Mining for Hyperspectral Anomaly Detection

Abstract: Hyperspectral anomaly detection (HAD) aims to identify targets that are significantly different from their surrounding background, employing an unsupervised paradigm. Recently, detectors ...
IEEE

A Hybrid Method for Digital Image Encryption, Compression, Decryption, and Enhancement Using Statistical Technology and Artificial Intelligence Networks (PCA-Autoencoder)

Abstract: The system hybridizes the Principal Component Analysis (PCA) to reduce dimensionality with the most appropriate Artificial Intelligence network autoencoder to perform efficient and secure ...
GitHub

Step1X-3D: Towards High-Fidelity and Controllable

Given the above high quality 3D assets, you can follow methods from Dora to preprocess data for VAE and 3D DiT training, and from MV-Adapter for ig2mv training. Shallow clone is faster and does not ...