Canonical quantization is a wonderful procedure for selected problems, but there are many problems for which it fails. Affine quantization is a different procedure that has shown that it can solve ...

Abstract: The goal of this paper is to propose an accurate method for estimating quantization steps from an image that has been previously JPEG-compressed and stored in lossless format. The method is ...

Abstract: The traditional meanshift based tracking algorithm uses a constant quantization step to carry out feature generation in the color space but it cannot dynamically alter the quantization step ...

1 College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China. 2 School of Electric Power Engineering, Nanjing Institute of Technology ...

In an article recently posted to the Meta Research website, researchers focused on improving vector quantization for data compression and vector search. They introduced quantization with implicit ...

Diffusion models have achieved significant visual generation quality. However, their significant computational and memory costs pose challenge for their application on resource-constrained mobile ...