This paper presents an end-to-end object-detection accelerator that processes raw Bayer
images to generate detection results. The accelerator utilizes histogram of oriented …

This paper introduces an end-to-end object detection hardware accelerator that directly
processes RAW video signals to generate detection results, enabling a holistic approach to …

Convolutional neural network (CNN) based object detectors such as the you-only-look-once
(YOLO) achieve remarkable performance but come with high computing complexity and a …

Edge computing brings artificial intelligence algorithms and graphics processing units closer
to data sources, making autonomy and energy-efficient processing vital for their design …

In this article, a novel time-multiplexed fully differential (TMFD) interface ASIC with strong
nonlinear suppression is presented. The interface ASIC adopts the half-bridge measurement …

Online training is essential to maintain a high object detection (OD) in various environments.
However, additional computation workload, EMA, and high bit precision is the problem of …

Deep learning (DL) has proved itself be one of the most important developements till date
with far reaching impacts in numerous fields like robotics, computer vision, surveillance …

You-only-look-once (YOLO) 와 같은 convolutional neural network (CNN) 을 기반으로 한
object detector 들은 우수한 성능을 달성하지만 높은 연산 복잡성과 함께 큰 memory 대역폭을 …

While machine/deep learning algorithms have been successfully used in many practical
applications including object detection and image/video classification, accurate, fast, and …