EurekAlert!

CornPheno: A game-changer in corn breeding with smartphone-based phenotyping

Corn is one of the world's most important crops, critical for food, feed, and industrial applications. In 2023, corn ...
Microsoft

CNN Kernels Can Be the Best Shapelets

Shapelets and CNN are two typical approaches to model time series. Shapelets aim at finding a set of sub-sequences that extract feature-based interpretable shapes, but may suffer from accuracy and ...
IEEE

A Systolic Array-Based Scheduling Strategy for Sparse CNN Accelerators

Abstract: Sparse convolutional neural network (CNN) accelerators face challenges such as low utilization of processing elements (PEs), low data reuse, and high hardware sparse index addressing cost ...
IEEE

Kernel Functions in CNNs: Enhancing Robustness to Image Noise

Abstract: Convolutional Neural Networks (CNNs) have achieved remarkable success across various fields, particularly in image processing. However, the interference from imaging devices and external ...
Scientific Research Publishing

Lau, K., Po, L. and Rehman, Y. (2023) Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN.

ABSTRACT: Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers ...
Scientific Research Publishing

Research on Structural Damage Identification Method Based on Convolutional Neural Network ()

1 College of Finance and Commerce, Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 ...
GitHub

Model weights fail to update while MLPs update with group_map on MeltingPot/predator_prey__orchard

The config file that I used. defaults: - experiment: base_experiment - algorithm: ippo - task: meltingpot/predator_prey__orchard - model: layers/cnn - model@critic ...
Scientific Research Publishing

Dual-Dilated Large Kernel Convolution for Visual Attention Network ()

Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...
IEEE

PIPE-CovNet+: A Hyper-Dense CNN for Improved Pipe Abnormality Detection

Abstract: In this letter, we propose a PIPE-CovNet+ model that is ba-sed on convolutional neural networks (CNNs) with multiple kernel sizes, gradient boosting techniques, and hyper-densely connected ...