Frontiers TB-Net: A Tailored, Self-Attention Deep Convolutional
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Last updated 19 setembro 2024
On the limits of Conditional Generative Adversarial Neural Networks to reconstruct the identification of inhabitants from IoT low-resolution thermal sensors - ScienceDirect
Attention-based deep convolutional neural network for spectral efficiency optimization in MIMO systems
Frontiers COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest X-ray Images
Machine learning and blockchain technologies for cybersecurity in connected vehicles - Ahmad - WIREs Data Mining and Knowledge Discovery - Wiley Online Library
Chapter 8 Attention and Self-Attention for NLP Modern Approaches in Natural Language Processing
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions, Journal of Big Data
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation – arXiv Vanity
CCTCOVID: COVID-19 detection from chest X-ray images using Compact Convolutional Transformers - Frontiers
Photonics, Free Full-Text
Deep learning based brain tumor segmentation: a survey
New Study Suggests Self-Attention Layers Could Replace Convolutional Layers on Vision Tasks, by Synced, SyncedReview
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