Results 81 to 90 of about 1,305,191 (158)

Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset

Journal of Multidisciplinary Healthcare
Mingzhao Wang,1 Ran Liu,1 Joseph Luttrell IV,2 Chaoyang Zhang,2 Juanying Xie1 1School of Computer Science, Shaanxi Normal University, Xian, People’s Republic of China; 2School of Computing Sciences and Computer Engineering, University of Southern ...
Wang M, Liu R, Luttrell IV J, Zhang C, Xie J   +4 more
doaj  

ILP-M Conv: Optimize Convolution Algorithm for Single-Image Convolution Neural Network Inference on Mobile GPUs [PDF]

arXiv, 2019
Convolution neural networks are widely used for mobile applications. However, GPU convolution algorithms are designed for mini-batch neural network training, the single-image convolution neural network inference algorithm on mobile GPUs is not well-studied.
arxiv  

Polynomials: a new tool for length reduction in binary discrete convolutions [PDF]

arXiv, 2014
Efficient handling of sparse data is a key challenge in Computer Science. Binary convolutions, such as polynomial multiplication or the Walsh Transform are a useful tool in many applications and are efficiently solved. In the last decade, several problems required efficient solution of sparse binary convolutions.
arxiv  

ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network

Procedia Computer Science, 2020
M. Agarwal, Abhishek Singh, S. Arjaria, A. Sinha, S. Gupta   +4 more
semanticscholar   +1 more source

Vehicle Detection from 3D Lidar Using Fully Convolutional Network [PDF]

arXiv, 2016
Convolutional network techniques have recently achieved great success in vision based detection tasks. This paper introduces the recent development of our research on transplanting the fully convolutional network technique to the detection tasks on 3D range scan data.
arxiv  

Human Action Recognition Method Based on Multi-channel Fusion

工程科学与技术
Objective With the continuous development of science and technology, cutting-edge advancements such as artificial intelligence and deep learning increasingly penetrate various fields, significantly improving social productivity.
Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG   +4 more
doaj  

Correction to: Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis

Journal of digital imaging, 2021
H. Raja, M. Akram, A. Shaukat, S. Khan, N. Alghamdi, S. G. Khawaja, Muhammad Noman Nazir   +6 more
semanticscholar   +1 more source

Enhanced YOLOv8-based pavement crack detection: A high-precision approach. [PDF]

PLoS One
Zhang Z, Zhang H, Zhang T.
europepmc   +1 more source

Action recognition using part and attention enhanced feature fusion. [PDF]

Sci Rep
Zhuang D, Jiang M, Wang L, Akremi MS, Tabia H.   +4 more
europepmc   +1 more source

A deep learning-based algorithm for the detection of personal protective equipment. [PDF]

PLoS One
Tong B, Li G, Bu X, Wang Y, Yu X.
europepmc   +1 more source