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

December 4, 2024

Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond
Loukas Ilias, George Doukas, Vangelis Lamprou, Christos Ntanos, Dimitris Askounis
Convolutional Neural Network Deep Neural Network Data Detection Expert Knowledge G Network NextG Wireless Network
Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images
Ajinkya Deshpande, Deep Gupta, Ankit Bhurane, Nisha Meshram, Sneha Singh, Petia Radeva
Convolutional Neural Network Efficient Hybrid Cancer Genome Atlas Liver Tumor Cancer Grade

December 3, 2024

MAGMA: Manifold Regularization for MAEs
Alin Dondera, Anuj Singh, Hadi Jamali-Rad
Convolutional Neural Network Masked Autoencoders Regularization Loss Manifold Regularization Lava Flow
Optimized CNNs for Rapid 3D Point Cloud Object Recognition
Tianyi Lyu, Dian Gu, Peiyuan Chen, Yaoting Jiang, Zhenhong Zhang, Huadong Pang, Li Zhou, Yiping Dong
Convolutional Neural Network Convolutional Layer Large Scale 3D Point Cloud Recognition Sparse Convolutional AD Dataset

December 2, 2024

Enhancing Crop Segmentation in Satellite Image Time Series with Transformer Networks
Ignazio Gallo, Mattia Gatti, Nicola Landro, Christian Loschiavo, Mirco Boschetti, Riccardo La Grassa
Convolutional Neural Network Transformer Network Satellite Image Time Series Crop Segmentation Swin Unet TRansformer
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs
Aniket K. Singh, Debasis Chaudhuri, Manish P. Singh, Samiran Chattopadhyay
Convolutional Neural Network Deep Learning Model Class Activation Interpretable Deep Learning Fusion Layer
Reducing Inference Energy Consumption Using Dual Complementary CNNs
Michail Kinnas, John Violos, Ioannis Kompatsiaris, Symeon Papadopoulos
Convolutional Neural Network Energy Efficient Inference Dual Convolutional

November 30, 2024

Learner Attentiveness and Engagement Analysis in Online Education Using Computer Vision
Sharva Gogawale, Madhura Deshpande, Parteek Kumar, Irad Ben-Gal
Convolutional Neural Network Computer Vision Engagement Measurement Attention Score Online Training Attention Level
Raw Audio Classification with Cosine Convolutional Neural Network (CosCovNN)
Kazi Nazmul Haque, Rajib Rana, Tasnim Jarin, Bjorn W. Schuller Jr
Convolutional Neural Network Audio Classification
HSLiNets: Hyperspectral Image and LiDAR Data Fusion Using Efficient Dual Linear Feature Learning Networks
Judy X Yang, Jing Wang, Chen Hong Sui, Zekun Long, Jun Zhou
Convolutional Neural Network Hyperspectral Image CNN Model LiDAR Data Hyperspectral Imaging Deep Linear Best Fit Line

November 29, 2024

SS Linear Fusion Model: Hyperspectral Imaging Efficient Spatial and Spectral Linear Model with Bidirectional Feature Learning
Judy X Yang, Jing Wang, Zekun Long, Chenhong Sui, Jun Zhou
Convolutional Neural Network Hyperspectral Image Spectral Feature Hyperspectral Imaging Hyperspectral Data Spectral Spatial Dimension Bidirectional Feature
Twisted Convolutional Networks (TCNs): Enhancing Feature Interactions for Non-Spatial Data Classification
Junbo Jacob Lian
Convolutional Neural Network Graph Neural Network Feature Interaction Fully Convolutional
LDA-AQU: Adaptive Query-guided Upsampling via Local Deformable Attention
Zewen Du, Zhenjiang Hu, Guiyu Zhao, Ying Jin, Hongbin Ma
Convolutional Neural Network Adaptive Importance Deformable Attention Upsampling Operation Local Self Attention Upsampling Block
A Simple Sparse Matrix Vector Multiplication Approach to Padded Convolution
Zan Chaudhry
Convolutional Neural Network Direct Convolution Convolution Operation Sparse Matrix Sparse Matrix Multiplication

November 27, 2024

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data
Aoran Shen, Minghao Dai, Jiacheng Hu, Yingbin Liang, Shiru Wang, Junliang Du
Convolutional Neural Network Classification Code Semi Supervised Learning Semi Supervised Traditional Machine Learning Limited Labeled Data
Pruning Deep Convolutional Neural Network Using Conditional Mutual Information
Tien Vu-Van, Dat Du Thanh, Nguyen Ho, Mai Vu
Convolutional Neural Network Full Information Conditional Reasoning Neural Network Pruning Filter Pruning Conditional Mutual Information Matrix Based
Preserving Information: How does Topological Data Analysis improve Neural Network performance?
A. Stolarek, W. Jaworek
Convolutional Neural Network Topological Data Analysis Topological Feature Full Information Topological Information Image Stitching Neural Network Performance
Convolutional Neural Networks Do Work with Pre-Defined Filters
Christoph Linse, Erhardt Barth, Thomas Martinetz
Convolutional Neural Network Convolutional Filter Max Filter Channel Convolutional Neural Network
Real-time Video Target Tracking Algorithm Utilizing Convolutional Neural Networks (CNN)
Chaoyi Tan, Xiangtian Li, Xiaobo Wang, Zhen Qi, Ao Xiang
Convolutional Neural Network Deep Convolutional Neural Network Network Programming Object Tracking CNN Network Video Domain
KANs for Computer Vision: An Experimental Study
Karthik Mohan, Hanxiao Wang, Xiatian Zhu
Convolutional Neural Network Computer Vision Multi Layer Activation Function Kolmogorov Arnold Network Computer Vision Task Experimental Study KAN Layer

Convolutional Neural Network

Papers

Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond

Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images

MAGMA: Manifold Regularization for MAEs

Optimized CNNs for Rapid 3D Point Cloud Object Recognition

Enhancing Crop Segmentation in Satellite Image Time Series with Transformer Networks

Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs

Reducing Inference Energy Consumption Using Dual Complementary CNNs

Learner Attentiveness and Engagement Analysis in Online Education Using Computer Vision

Raw Audio Classification with Cosine Convolutional Neural Network (CosCovNN)

HSLiNets: Hyperspectral Image and LiDAR Data Fusion Using Efficient Dual Linear Feature Learning Networks

SS Linear Fusion Model: Hyperspectral Imaging Efficient Spatial and Spectral Linear Model with Bidirectional Feature Learning

Twisted Convolutional Networks (TCNs): Enhancing Feature Interactions for Non-Spatial Data Classification

LDA-AQU: Adaptive Query-guided Upsampling via Local Deformable Attention

A Simple Sparse Matrix Vector Multiplication Approach to Padded Convolution

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information

Preserving Information: How does Topological Data Analysis improve Neural Network performance?

Convolutional Neural Networks Do Work with Pre-Defined Filters

Real-time Video Target Tracking Algorithm Utilizing Convolutional Neural Networks (CNN)

KANs for Computer Vision: An Experimental Study