Branch Convolution Quantization for Object Detection
M Li, F Zhang, C Zhang - Machine Intelligence Research, 2024 - Springer
Quantization is one of the research topics on lightweight and edge-deployed convolutional
neural networks (CNNs). Usually, the activation and weight bit-widths between layers are …
neural networks (CNNs). Usually, the activation and weight bit-widths between layers are …
Preferred benchmarking criteria for systematic taxonomy of embedded platforms (step) in human system interaction systems
A Kwasniewska, S Raghava, C Davila… - … on Human System …, 2022 - ieeexplore.ieee.org
The rate of progress in the field of Artificial Intelligence (AI) and Machine Learning (ML) has
significantly increased over the past ten years and continues to accelerate. Since then, AI …
significantly increased over the past ten years and continues to accelerate. Since then, AI …
The Shrank YoloV3-tiny for spinal fracture lesions detection
G Sha, J Wu, B Yu - Journal of Intelligent & Fuzzy Systems, 2022 - content.iospress.com
Purpose: at present, more and more deep learning algorithms are used to detect and
segment lesions from spinal CT (Computed Tomography) images. But these algorithms …
segment lesions from spinal CT (Computed Tomography) images. But these algorithms …