About The human visual system focuses on active areas in images, such as people or vehicles. This project introduces a lossy encoder using image segmentation to guide quantization, improving ...

The huge memory and computing costs of deep neural networks (DNNs) greatly hinder their deployment on resource-constrained devices with high efficiency. Quantization has emerged as an effective ...

Description I am currently trying to quantize my UNet-based pytorch model to INT8. I end up with a slightly different —and slower— engine graph compared to the one generated by implicit quantization.

The mid-rise time-to-digital converter (TDC), e.g., a binary (bang-bang) phase detector and other few-bit TDCs, is commonly used as the phase detector (PD) in a digital phase locked loop (DPLL) ...