Convolutional Neural Network

Convolutional Neural Networks (CNNs) are a class of deep learning models designed for processing grid-like data, excelling in image analysis and related tasks. Current research focuses on improving CNN efficiency and robustness, exploring architectures like EfficientNet and Swin Transformers, as well as novel approaches such as Mamba models to address limitations in computational cost and long-range dependency capture. This active field of research has significant implications across diverse applications, including medical image analysis (e.g., cancer detection, Alzheimer's diagnosis), damage assessment, and art forgery detection, demonstrating the power of CNNs for automating complex visual tasks.

Papers

August 29, 2024

Statistical Analysis of the Impact of Quaternion Components in Convolutional Neural Networks
Gerardo Altamirano-Gómez, Carlos Gershenson
Convolutional Neural Network Global Impact Statistical Analysis Quaternion Domain Quaternion Valued Quaternion Property
H-SGANet: Hybrid Sparse Graph Attention Network for Deformable Medical Image Registration
Yufeng Zhou, Wenming Cao
Convolutional Neural Network Medical Image Registration High Performing 1D ConvNet
CW-CNN & CW-AN: Convolutional Networks and Attention Networks for CW-Complexes
Rahul Khorana
Convolutional Neural Network Supervised Learning CNN Network Attention Network Cheminformatics Task
Turbulence Strength $C_n^2$ Estimation from Video using Physics-based Deep Learning
Ripon Kumar Saha, Esen Salcin, Jihoo Kim, Joseph Smith, Suren Jayasuriya
Convolutional Neural Network Estimation Task Source Video Physic Informed Deep Learning Refractive Index Differentiable Image Processing
CNN Based Detection of Cardiovascular Diseases from ECG Images
Irem Sayin, Rana Gursoy, Buse Cicek, Yunus Emre Mert, Fatih Ozturk, Taha Emre Pamukcu, Ceylin Deniz Sevimli, Huseyin Uvet
Deep Learning Convolutional Neural Network Electrocardiogram Data Electrocardiogram Image
PSE-Net: Channel Pruning for Convolutional Neural Networks with Parallel-subnets Estimator
Shiguang Wang, Tao Xie, Haijun Liu, Xingcheng Zhang, Jian Cheng
Convolutional Neural Network Parallel Training Channel Pruning Supernet Training

August 26, 2024

Model Parallel Training and Transfer Learning for Convolutional Neural Networks by Domain Decomposition
Axel Klawonn, Martin Lanser, Janine Weber
Convolutional Neural Network Transfer Learning Parallel Training Domain Decomposition
LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation
Trung Dinh Quoc Dang, Huy Hoang Nguyen, Aleksei Tiulpin
Convolutional Neural Network Vision Transformer Medical Image Segmentation Segmentation Model Computer Vision Task Vision Mamba Log Message
HAPM -- Hardware Aware Pruning Method for CNN hardware accelerators in resource constrained devices
Federico Nicolas Peccia, Luciano Ferreyro, Alejandro Furfaro
Convolutional Neural Network Hardware Accelerator New Resource Smart Device CNN Accelerator
Multi-Class Plant Leaf Disease Detection: A CNN-based Approach with Mobile App Integration
Md Aziz Hosen Foysal, Foyez Ahmed, Md Zahurul Haque
Convolutional Neural Network Mobile Application Plant Disease

August 25, 2024

BCDNet: A Fast Residual Neural Network For Invasive Ductal Carcinoma Detection
Yujia Lin, Aiwei Lian, Mingyu Liao, Shuangjie Yuan
Convolutional Neural Network Histopathological Image Breast Cancer Breast Cancer Detection
CNN-Transformer Rectified Collaborative Learning for Medical Image Segmentation
Lanhu Wu, Miao Zhang, Yongri Piao, Zhenyan Yao, Weibing Sun, Feng Tian, Huchuan Lu
Convolutional Neural Network Medical Image Segmentation Collaborative Learning CNN Transformer

August 23, 2024

NAS-Cap: Deep-Learning Driven 3-D Capacitance Extraction with Neural Architecture Search and Data Augmentation
Haoyuan Li, Dingcheng Yang, Chunyan Pei, Wenjian Yu
Convolutional Neural Network Data Augmentation Neural Architecture Search Capacitive Sensing Electrical Capacitance Tomography
Interpretable breast cancer classification using CNNs on mammographic images
Ann-Kristin Balve, Peter Hendrix
Convolutional Neural Network Breast Cancer Image Analysis Mammogram Classification Breast Cancer Classification Post Hoc Interpretability

August 22, 2024

Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection
Ruixiao Zhang, Juheon Lee, Xiaohao Cai, Adam Prugel-Bennett
Convolutional Neural Network Autonomous Driving Domain Adaptation Deep Learning Model 3D Object Detection Cross Domain
Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers
Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Neural Network Convolutional Neural Network Transformer Megatron Decepticons Line by Line Explanation Model Compression Edge Pruning Attribution Method Transformer Based Network Neural Network Pruning Convolutional Architecture
ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation
Lujia Zhong, Shuo Huang, Yonggang Shi
Deep Learning Convolutional Neural Network Many Sparse Deep Learning Architecture Fast Propagation Energy Efficient Training
Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural Networks
Yuyan Zhang, Derya Soydaner, Lisa Koßmann, Fatemeh Behrad, Johan Wagemans
Convolutional Neural Network Different Convolutional Neural Network Closer Look Closure Model Security Closure Gestalt Theory Perceptual Space
EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation
Shahzaib Iqbal, Hasnat Ahmed, Muhammad Sharif, Madiha Hena, Tariq M. Khan, Imran Razzak
Convolutional Neural Network U Net Ultrasound Image Ultrasound Image Segmentation Ultrasound Dataset Region Attention
Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint)
Yansel Gonzalez Tejeda, Helmut A. Mayer
Deep Learning Convolutional Neural Network Tutorial Review CNN Framework

Convolutional Neural Network

Papers

Statistical Analysis of the Impact of Quaternion Components in Convolutional Neural Networks

H-SGANet: Hybrid Sparse Graph Attention Network for Deformable Medical Image Registration

CW-CNN & CW-AN: Convolutional Networks and Attention Networks for CW-Complexes

Turbulence Strength $C_n^2$ Estimation from Video using Physics-based Deep Learning

CNN Based Detection of Cardiovascular Diseases from ECG Images

PSE-Net: Channel Pruning for Convolutional Neural Networks with Parallel-subnets Estimator

Model Parallel Training and Transfer Learning for Convolutional Neural Networks by Domain Decomposition

LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation

HAPM -- Hardware Aware Pruning Method for CNN hardware accelerators in resource constrained devices

Multi-Class Plant Leaf Disease Detection: A CNN-based Approach with Mobile App Integration

BCDNet: A Fast Residual Neural Network For Invasive Ductal Carcinoma Detection

CNN-Transformer Rectified Collaborative Learning for Medical Image Segmentation

NAS-Cap: Deep-Learning Driven 3-D Capacitance Extraction with Neural Architecture Search and Data Augmentation

Interpretable breast cancer classification using CNNs on mammographic images

Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection

Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers

ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation

Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural Networks

EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation

Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint)