Frontiers

DeepAttNet: deep neural network incorporating cross-attention mechanism for subject-independent mental stress detection in passive brain–computer interfaces using bilateral ...

Introduction: Electroencephalography (EEG)-based mental stress detection has the potential to be applied in diverse real-world scenarios, including workplace safety, mental health monitoring, and ...
C&EN

Systematic Evaluation of Atrous Spatial Pyramid Pooling in U-Net for Pore Segmentation in Plasma Electrolytic Oxidation Coatings

Department of Materials and Mineral Resources Engineering, Taipei University of Technology, Taipei 106344, Taiwan Institute of Mineral Resources Engineering, Taipei University of Technology, Taipei ...
Frontiers

A recognition model for winter peach fruits based on improved ResNet and multi-scale feature fusion

Faculty of Megadata and Computing, Guangdong Baiyun University, Guangzhou, China With the continuous advancement of modern agricultural technologies, the demand for precision fruit-picking techniques ...
IEEE

Lw-PSCNN: Lightweight Pointwise-Separable Convolution Neural Network for ISAR Image Classification

Abstract: Inverse synthetic aperture radar (ISAR) is a remote-sensing technique used in several applications due to its advantage of improved resolution. The use of lightweight models for ...
GitHub

creating-depthwise-separable-convolutions-in-keras.md

In a recent blog post, we took a look at separable convolutions. When you separate your convolutional kernels in a depthwise way, you can substantially reduce the required amount of resources for your ...
GitHub

Depthwise + 1x1 pointwise convolution

Is it possible to perform a (fused?) depthwise convolution followed by a pointwise 1x1 convolution during training by using the DNNL_ARG_ATTR_POST_OP_DW post-op? And should the ...