CNN Network

Convolutional Neural Networks (CNNs) are a class of deep learning models designed for processing grid-like data, primarily images, by leveraging convolutional layers to extract hierarchical features. Current research emphasizes improving CNN performance through architectural innovations like incorporating self-attention mechanisms and hybrid models combining CNNs with other architectures such as Transformers and recurrent networks, as well as addressing challenges in weakly supervised learning and handling high-resolution data. These advancements are significantly impacting diverse fields, from medical image analysis (e.g., disease detection, segmentation) and industrial applications (e.g., defect detection) to environmental monitoring and even fundamental physics research.

Papers

November 17, 2024

RPN 2: On Interdependence Function Learning Towards Unifying and Advancing CNN, RNN, GNN, and Transformer
Jiawei Zhang
Transformer Based Gene Level GNN CNN Network \Sigma}{\Delta}$ Low Pas RNN Backbone Fine Tuning Interdependent Network Polynomial Network Structure Function Racah Polynomial

November 10, 2024

RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Acceleration
Boyao Wang, Volodymyr Kindratenko
Reinforcement Learning Convolutional Neural Network Edge Pruning Linear Compression CNN Network Pruning Method Model Pruning LD Pruner

November 7, 2024

From CNN to ConvRNN: Adapting Visualization Techniques for Time-Series Anomaly Detection
Fabien Poirier
Neural Network Anomaly Detection Data Detection High Explainability CNN Network Video Data Visualization Method

November 2, 2024

MIC: Medical Image Classification Using Chest X-ray (COVID-19 and Pneumonia) Dataset with the Help of CNN and Customized CNN
Nafiz Fahad, Fariha Jahan, Md Kishor Morol, Rasel Ahmed, Md. Abdullah-Al-Jubair
Data Set Chest X Ray Medical Image Classification CNN Network

October 26, 2024

Enhancing Lie Detection Accuracy: A Comparative Study of Classic ML, CNN, and GCN Models using Audio-Visual Features
Abdelrahman Abdelwahab, Akshaj Vishnubhatla, Ayaan Vaswani, Advait Bharathulwar, Arnav Kommaraju
Audio Visual Multimodal Model CNN Network Micro Expression Classical Machine Learning Deception Detection GCN Model Lie Detection

October 22, 2024

Efficient Feature Extraction Using Light-Weight CNN Attention-Based Deep Learning Architectures for Ultrasound Fetal Plane Classification
Arrun Sivasubramanian, Divya Sasidharan, Sowmya V, Vinayakumar Ravi
Convolutional Neural Network Feature Extraction CNN Network Attention Based Deep Fetal Ultrasound Ultrasound Dataset Fetal Plane

October 14, 2024

ASTM :Autonomous Smart Traffic Management System Using Artificial Intelligence CNN and LSTM
Christofel Rio Goenawan
LSTM Network CNN Network Synthetic to Real Traffic Management Autonomous Traffic

September 30, 2024

A Self-attention Residual Convolutional Neural Network for Health Condition Classification of Cow Teat Images
Minghao Wang
Convolutional Neural Network CNN Network Disease Classification Residual Attention

September 28, 2024

MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN Robustness for Scribble-Based Weakly Supervised Ultrasound Image Segmentation
Xiaoxiang Han, Xinyu Li, Jiang Shang, Yiman Liu, Keyan Chen, Shugong Xu, Qiaohong Liu, Qi Zhang
CNN Network Mamba in Mamba Consistency Regularization Ultrasound Image Consistency Model Sparse Annotation Ultrasound Image Segmentation Scribble Annotation

September 24, 2024

English offensive text detection using CNN based Bi-GRU model
Tonmoy Roy, Md Robiul Islam, Asif Ahammad Miazee, Anika Antara, Al Amin, Sunjim Hossain
Social Medium CNN Model CNN Network Hateful Content Offensive Language Detection

September 22, 2024

A Visualized Malware Detection Framework with CNN and Conditional GAN
Fang Wang (Florence Wong), Hussam Al Hamadi, Ernesto Damiani
Synthetic Image CNN Network Conditional Generative Adversarial Network Malware Detection Detection Model Conditional GAN Malware Analysis

September 13, 2024

SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging
Yuliang Zhu, Jing Cheng, Zhuo-Xu Cui, Jianfeng Ren, Chengbo Wang, Dong Liang
CNN Network Cine Cardiac Magnetic Resonance Equivariant Convolutional Neural Network

September 12, 2024

DVS: Blood cancer detection using novel CNN-based ensemble approach
Md Taimur Ahad, Israt Jahan Payel, Bo Song, Yan Li
CNN Network Ensemble Approach Cancer Detection

September 10, 2024

September 2, 2024

Recognition of Schrodinger cat state based on CNN
Tao Zhang, Chaoying Zhao
Convolutional Neural Network Recognition Rate CNN Network Quantum State

August 29, 2024

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

August 14, 2024

CNN-JEPA: Self-Supervised Pretraining Convolutional Neural Networks Using Joint Embedding Predictive Architecture
András Kalapos, Bálint Gyires-Tóth
Convolutional Neural Network Self Supervised CNN Network Joint Framework Predictive Architecture

August 8, 2024

Convolutional Neural Networks for Predictive Modeling of Lung Disease
Yingbin Liang, Xiqing Liu, Haohao Xia, Yiru Cang, Zitao Zheng, Yuanfang Yang
Convolutional Neural Network Predictive Model CNN Network Disease Prediction Convolution Technique Lung Disease

July 31, 2024

DDU-Net: A Domain Decomposition-based CNN for High-Resolution Image Segmentation on Multiple GPUs
Corné Verburg, Alexander Heinlein, Eric C. Cyr
Encoder Decoder CNN Network Internet Service Domain Land Cover Multi GPU Ultra High Resolution Image High Resolution Image Segmentation

CNN Network

Papers

RPN 2: On Interdependence Function Learning Towards Unifying and Advancing CNN, RNN, GNN, and Transformer

RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Acceleration

From CNN to ConvRNN: Adapting Visualization Techniques for Time-Series Anomaly Detection

MIC: Medical Image Classification Using Chest X-ray (COVID-19 and Pneumonia) Dataset with the Help of CNN and Customized CNN

Enhancing Lie Detection Accuracy: A Comparative Study of Classic ML, CNN, and GCN Models using Audio-Visual Features

Efficient Feature Extraction Using Light-Weight CNN Attention-Based Deep Learning Architectures for Ultrasound Fetal Plane Classification

ASTM :Autonomous Smart Traffic Management System Using Artificial Intelligence CNN and LSTM

A Self-attention Residual Convolutional Neural Network for Health Condition Classification of Cow Teat Images

MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN Robustness for Scribble-Based Weakly Supervised Ultrasound Image Segmentation

English offensive text detection using CNN based Bi-GRU model

A Visualized Malware Detection Framework with CNN and Conditional GAN

SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging

DVS: Blood cancer detection using novel CNN-based ensemble approach

A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection

Seam Carving as Feature Pooling in CNN

Recognition of Schrodinger cat state based on CNN

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

CNN-JEPA: Self-Supervised Pretraining Convolutional Neural Networks Using Joint Embedding Predictive Architecture

Convolutional Neural Networks for Predictive Modeling of Lung Disease

DDU-Net: A Domain Decomposition-based CNN for High-Resolution Image Segmentation on Multiple GPUs