Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted
in breakthroughs in many areas. However, deploying these highly accurate models for data …

Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …

Autonomous driving vehicle (ADV) that is ready to transform our society and economy, is in
desperate need of precise positioning over itself as well as surrounding environments …

The better accuracy and efficiency trade-off has been a challenging problem in object
detection. In this work, we are dedicated to studying key optimizations and neural network …

Recent work demonstrated the promise of using resistive random access memory (ReRAM)
as an emerging technology to perform inherently parallel analog domain in-situ matrix …

This study concentrates on deep learning-based lightweight object detection models on
edge devices. Designing such lightweight object recognition models is more difficult than …

Deep neural networks (DNNs) have achieved great success in many object detection tasks.
However, such DNNS-based large object detection models are generally computationally …

The scale of targets in remote sensing images varies greatly and is diverse. It has many
small targets that are distributed densely and high complexity of image background. The …

YOLOv4-tiny is one of the most representative lightweight one-stage object detection
algorithms. In this paper, we propose Mini-YOLOv4-tiny, an improved lightweight one-stage …

Marine debris is a problem both for the health of marine environments and for the human
health since tiny pieces of plastic called “microplastics” resulting from the debris …