The significant resource requirements associated with Large-scale Language Models (LLMs) have generated considerable interest in the development of techniques aimed at compressing and accelerating neural networks. Among these techniques, Post-Training Quantization (PTQ) has emerged as a subject of ...
Applica- tions where the number of detected features is important, e.g., large scale 3D reconstruction [2], therefore use the DoG detector. Alleviating the problem of the drop in the number of correspondences caused by the non-repeatability of the affine adaptation procedure, may lead to ...
For example, video encoder 200 may round an n-bit value down to an m-bit value during quantization, where n is greater than m. In some examples, to perform quantization, video encoder 200 may perform a bitwise right-shift of the value to be quantized. Following quantization, video encoder...