265) decoder settled down in video codec industry but HEVC encoder is not yet. Guarantee for overwhelming ... MnHEVC overcome the barrier of optimisation with deep learning acceleration and 8-bit anti ...

A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.

Recent advances in deep learning have led to several studies demonstrating ... To address these issues, a Convolutional Encoder- Decoder with Scale-Recursive Reconstructor (ConvED-SR) is proposed for ...

This paper proposes a new approach to solve this problem through the integration of spherical Haar wavelet transform and deep learning methods. First, considering the application limitations of Haar ...

This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese ... forming a six-level encoder and a five-level decoder, with skip connections between ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Understand what tensors are and how they are the fundamental building blocks of data in deep learning frameworks.

In a study published in Nature Communications, researchers at the University of Wisconsin–Madison introduced a deep learning ...

Background Coronary artery disease (CAD) is linked to an increased risk of mild cognitive impairment (MCI). Effective and ...