Recently, there has been a substantial interest in on-device Machine Learning (ML) models
to provide intelligence for the Internet of Things (IoT) applications such as image …

Object detection (OD) is a crucial computer vision task that has seen the development of
many algorithms and models over the years. While the performance of current OD models …

Abstract Artificial Intelligence of Things (AIoT) which integrates artificial intelligence (AI) and
the Internet of Things (IoT), has attracted increasing attention recently. With the remarkable …

In the realm of Tiny AI, we introduce “You Only Look at Interested Cells”(YOLIC), an efficient
method for object localization and classification on edge devices. Through seamlessly …

Artificial Intelligence of Things (AIoT) which integrates artificial intelligence (AI) and the
Internet of Things (IoT), has attracted increasing attention recently. With the remarkable …

Obstacle detection on road is a challenging task in autonomous vehicle driving. Although
obstacle detection is carried out with the help of sensors which are accurate and precise in …

In this paper, we propose a multi-branch neural network architecture named Coupled
Modular Neural Network (CMNN). A CMNN is a network consisting of β closely coupled sub …

In this paper, we study real-time object detection based on cell-wise segmentation. Existing
object detection methods usually focus on detecting interesting object's positions and sizes …

On-road risk detection and alert system is a crucial and important task in our day to day life.
Deep Learning approaches have got much attention in solving this noble task. In this paper …

In order to introduce Deep Neural Network (DNN)[5] let us first consider the simplest form of
a DNN, ie a shallow neural network with a single hidden layer. Once we have a basic …