This project features an autoencoder model trained to encode, compress, and decode hand-written digits. There are two files, model_functions.py which contains the functions and structure of the model.

Abstract: Hyperspectral unmixing is significant for advancing remote sensing (RS) applications, aiming at extracting the spectra of pure materials (called endmembers) and obtaining their proportions ...

Abstract: Efficient compression of sparse point cloud geometry remains a critical challenge in 3D content processing, particularly for low-rate scenarios where conventional codecs struggle to maintain ...

Efficient pretraining for 3D segmentation models using MAE and augmentation reversal on a large domain-specific dataset. For more information on the paper see amaes.asbn.dk. [NEW!] The codebase has ...