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
A study on deep feature extraction to detect and classify Acute Lymphoblastic Leukemia (ALL)
Sabit Ahamed Preanto (4IR Research Cell Daffodil International University, Dhaka, Bangladesh), Md. Taimur Ahad (4IR Research Cell Daffodil International University, Dhaka, Bangladesh), Yousuf Rayhan Emon (4IR Research Cell Daffodil International University, Dhaka, Bangladesh), Sumaya Mustofa (4IR Research Cell Daffodil International University, Dhaka, Bangladesh), Md Alamin (4IR Research Cell Daffodil International University, Dhaka, Bangladesh)
Lightweight single-image super-resolution network based on dual paths
Li Ke, Liu Yukai
Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics
David Millard, Arielle Carr, Stéphane Gaudreault
Seam Carving as Feature Pooling in CNN
Mohammad Imrul Jubair
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT Models
Thanh-Dung Le, Vu Nguyen Ha, Ti Ti Nguyen, Geoffrey Eappen, Prabhu Thiruvasagam, Luis M. Garces-Socarras, Hong-fu Chou, Jorge L. Gonzalez-Rios, Juan Carlos Merlano-Duncan, Symeon Chatzinotas
Ground-roll Separation From Land Seismic Records Based on Convolutional Neural Network
Zhuang Jia, Wenkai Lu, Meng Zhang, Yongkang Miao
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift
Fabian Diet, Moussa Kassem Sbeyti, Michelle Karg
Non-Uniform Illumination Attack for Fooling Convolutional Neural Networks
Akshay Jain, Shiv Ram Dubey, Satish Kumar Singh, KC Santosh, Bidyut Baran Chaudhuri
Shuffle Vision Transformer: Lightweight, Fast and Efficient Recognition of Driver Facial Expression
Ibtissam Saadi, Douglas W. Cunningham, Taleb-ahmed Abdelmalik, Abdenour Hadid, Yassin El Hillali
Convolutional Neural Networks for Automated Cellular Automaton Classification
Michiel Rollier, Aisling J. Daly, Jan M. Baetens
BMI Prediction from Handwritten English Characters Using a Convolutional Neural Network
N. T. Diba, N. Akter, S. A. H. Chowdhury, J. E. Giti
Computer Aided Detection and Classification of mammograms using Convolutional Neural Network
Kashif Ishaq, Muhammad Mustagis
Evaluating Machine Learning-based Skin Cancer Diagnosis
Tanish Jain