We develop a simple image compression model that consists of three subnetworks (encoder, decoder and entropy estimation), and optimize all of the components in an end-to-end manner. We experiment on ...

In this paper, a novel learned image compression framework is proposed. Firstly, the asymmetric convolution block (ACB) is integrated into the variational auto-encoder framework ... estimate the ...

Matrix3D utilises a multimodal diffusion transformer (DiT) The model was developed in partnership with Nanjing University and HKUST It is an open-source model available for download on GitHub ...

It assesses the knowledge and cognitive abilities a task requires and evaluates them against the model’s capabilities. The framework uses ADeLe (annotated-demand-levels), a technique that assesses how ...

Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved ... network with large receptive fields (GLNet) based on an encoder-decoder model with ...