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
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
Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networks
Samer Francy, Raghubir Singh
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN Workloads
Ioannis Panopoulos, Stylianos I. Venieris, Iakovos S. Venieris
Recognition of Schrodinger cat state based on CNN
Tao Zhang, Chaoying Zhao
A Noise and Edge extraction-based dual-branch method for Shallowfake and Deepfake Localization
Deepak Dagar, Dinesh Kumar Vishwakarma
A Novel Self-Attention-Enabled Weighted Ensemble-Based Convolutional Neural Network Framework for Distributed Denial of Service Attack Classification
Kanthimathi S, Shravan Venkatraman, Jayasankar K S, Pranay Jiljith T, Jashwanth R
Self-Supervised Vision Transformers for Writer Retrieval
Tim Raven, Arthur Matei, Gernot A. Fink
PuYun: Medium-Range Global Weather Forecasting Using Large Kernel Attention Convolutional Networks
Shengchen Zhu, Yiming Chen, Peiying Yu, Xiang Qu, Yuxiao Zhou, Yiming Ma, Zhizhan Zhao, Yukai Liu, Hao Mi, Bin Wang