TMCnet

WiMi Studies Hybrid Quantum-Classical Inception Neural Network Model for Image Classification

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") ...
IEEE

Mobile-X: Dedicated FPGA Implementation of the MobileNet Accelerator Optimizing Depthwise Separable Convolution

Abstract: MobileNet proposed depthwise separable convolution (DSC) as a replacement for standard convolution (SC), achieving significant reductions in parameters and computational complexity compared ...
Frontiers

An improved model using convolutional sliding window-attention network for motor imagery EEG classification

The convolution block is composed of temporal, channel, and spatial convolutional layers and two average pooling layers, as shown in Figure 2. The three convolutional layers sequentially extract and ...
Frontiers

High-efficiency sparse convolution operator for event-based cameras

Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in ...
GitHub

Model parsing error: false depthwise convolution layer

I have created a simple model with single convolution layer, one input and one output channel: Thus, the parser reports a false depthwise convolution layer since the number of groups equals to 1 and ...
IEEE

An Interpretable Multiplication-Convolution Network for Equipment Intelligent Edge Diagnosis

Abstract: With the excellent capacity of feature representation and nonlinear mapping, deep learning with stacking deeply has aroused goer research interest in the field of intelligent fault diagnosis ...
GitHub

integration of custom convolution layer

Hello @glenn-jocher, Hope you are doing well. I would like to thank you for all the support that you have been giving for Ultralytics. I am doing something similar to the issue you raised above. I ...