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.
2331papers
Papers - Page 4
February 25, 2025
BD Currency Detection: A CNN Based Approach with Mobile App Integration
Syed Jubayer Jaman, Md. Zahurul Haque, Md Robiul Islam, Usama Abdun NoorManarat International UniversityAutomatic Vehicle Detection using DETR: A Transformer-Based Approach for Navigating Treacherous Roads
Istiaq Ahmed Fahad, Abdullah Ibne Hanif Arean, Nazmus Sakib Ahmed, Mahmudul HasanUniversity of Dhaka
February 24, 2025
A Priori Generalizability Estimate for a CNN
Cito Balsells, Beatrice Riviere, David FuentesRice University●The University of Texas MD Anderson Cancer CenterENACT-Heart -- ENsemble-based Assessment Using CNN and Transformer on Heart Sounds
Jiho Han, Adnan ShaoutSimPlatform Co. Ltd. Affiliate Research Institute●The University of Michigan – Dearborn
February 21, 2025
Graph Attention Convolutional U-NET: A Semantic Segmentation Model for Identifying Flooded Areas
Muhammad Umair Danish, Madhushan Buwaneswaran, Tehara Fonseka, Katarina GrolingerWestern UniversityEnhancing Vehicle Make and Model Recognition with 3D Attention Modules
Narges Semiromizadeh, Omid Nejati Manzari, Shahriar B. Shokouhi, Sattar MirzakuchakiIran University of Science and Technology
February 20, 2025
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation
Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei JinEmory University●Griffith UniversityDigital implementations of deep feature extractors are intrinsically informative
Max GetterRWTH Aachen UniversityWeed Detection using Convolutional Neural Network
Santosh Kumar Tripathi, Shivendra Pratap Singh, Devansh Sharma, Harshavardhan U Patekar
February 18, 2025
DAMamba: Vision State Space Model with Dynamic Adaptive Scan
Tanzhe Li, Caoshuo Li, Jiayi Lyu, Hongjuan Pei, Baochang Zhang, Taisong Jin, Rongrong JiXiamen University●University of Chinese Academy of Sciences●Beihang UniversityGPU Memory Usage Optimization for Backward Propagation in Deep Network Training
Ding-Yong Hong, Tzu-Hsien Tsai, Ning Wang, Pangfeng Liu, Jan-Jan WuAcademia Sinica●National Taiwan University
February 17, 2025
February 15, 2025
February 14, 2025
Ocular Disease Classification Using CNN with Deep Convolutional Generative Adversarial Network
Arun Kunwar, Dibakar Raj Pant, Jukka Heikkonen, Rajeev KanthInterGridNet: An Electric Network Frequency Approach for Audio Source Location Classification Using Convolutional Neural Networks
Christos Korgialas, Ioannis Tsingalis, Georgios Tzolopoulos, Constantine Kotropoulos