Enhancing Pneumonia Detection using Vision Transformer with Dynamic Mapping Re-Attention Mechanism-Reference-Cited by-同舟云学术

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Enhancing Pneumonia Detection using Vision Transformer with Dynamic Mapping Re-Attention Mechanism

Published:2023-11-01 Issue: Volume: Page:
ISSN:
Container-title:2023 13th International Conference on Computer and Knowledge Engineering (ICCKE)
language:
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Author:

Labbaf Khaniki Mohammad Ali¹,Mirzaeibonehkhater Marzieh²,Manthouri Mohammad³

Affiliation:

1. K.N. Toosi University of Technology,Department of Control Engineering,Tehran,Iran

2. Indiana University-Purdue University,Department of Electrical and Computer Engineering

3. Shahed University,Department of Electrical and Electronic Engineering,Tehran,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10326217/10326219/10326313.pdf?arnumber=10326313

Reference16 articles.

1. Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

2. ViT-LSLA: Vision Transformer with Light Self-Limited-Attention;hechen,2022

3. Attention-Based Dropout Layer for Weakly Supervised Object Localization

4. DeepViT: Towards Deeper Vision Transformer;zhou,2021

5. Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography

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1. Manifold grasshopper optimization based extremely disruptive vision transformer model for automatic heart disease detection in raw ECG signals;Multimedia Tools and Applications;2024-09-14

2. Adaptive Control of Spur Gear Systems via Proximal Policy Optimization and Attention-Based Learning;2023 9th International Conference on Control, Instrumentation and Automation (ICCIA);2023-12-20

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