Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Transformer architecture for image capturing using deep learning approach
PaperId: :  17622
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-17622
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
AJITH P JIES College of Engineering and Technology
DR G KiruthigaIES College of Engineering and Technology,Thrissur

Abstract

Computer Engineering
EfficientNet,Transformer,Convolution Nueral Network
Image Captioning is a tremendous job in both Natural Language Processing and Computer Vision. Most image captioning systems operate an encoder-decoder framework, where an input image is encoded into an intermediate representation of the information in the image, and then decoded into a descriptive text sequence. This paper bedrock a new deep learning approach based on transformer architecture method for Image Captioning purpose. A transformer is a deep learning model that adopts the mechanism of self-attention, differentially weighting the significance of each part of the input data. It is used primarily in the fields of natural language processing (NLP) and computer vision (CV).Here we are using two folders as dataset one contain the images and another contain the data. Here we are using EfficientNets which is a most powerful convolutional neural network. It uses Compound coefficient to scale up models in a very efficient manner. Compound Model Scaling helps to improve model performance, balancing the scale in all the three dimensions — width, depth, and image resolution , considering the variable available resources best improve the overall model performance.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE AJITH P J, and DR G Kiruthiga. "Transformer architecture for image capturing using deep learning approach" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 5365-5368
MLA AJITH P J, and DR G Kiruthiga. "Transformer architecture for image capturing using deep learning approach." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 5365-5368.
APA AJITH P J, & DR G Kiruthiga. (2022). Transformer architecture for image capturing using deep learning approach. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 5365-5368.
Chicago AJITH P J, and DR G Kiruthiga. "Transformer architecture for image capturing using deep learning approach." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 5365-5368.
Oxford AJITH P J, and DR G Kiruthiga. 'Transformer architecture for image capturing using deep learning approach', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 5365-5368. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Transformer_architecture_for_image_capturing_using_deep_learning_approach_ijariie17622.pdf (Accessed : ).
Harvard AJITH P J, and DR G Kiruthiga. (2022) 'Transformer architecture for image capturing using deep learning approach', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 5365-5368IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Transformer_architecture_for_image_capturing_using_deep_learning_approach_ijariie17622.pdf (Accessed : )
IEEE AJITH P J, and DR G Kiruthiga, "Transformer architecture for image capturing using deep learning approach," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 5365-5368, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Transformer_architecture_for_image_capturing_using_deep_learning_approach_ijariie17622.pdf [Accessed : ].
Turabian AJITH P J, and DR G Kiruthiga. "Transformer architecture for image capturing using deep learning approach." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 ().
Vancouver AJITH P J, and DR G Kiruthiga. Transformer architecture for image capturing using deep learning approach. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(3) : 5365-5368. Available from: https://ijariie.com/AdminUploadPdf/Transformer_architecture_for_image_capturing_using_deep_learning_approach_ijariie17622.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Leveraging AWS for Developing and Hosting a Dynamic Food Ordering Web ApplicationComputer EngineeringAfshin Khanam Download
Edge-to-Cloud Synergy: An Autoencoder-GAN Framework for Anomaly Detection in Healthcare Records, Financial Statements, and Secure Cloud StorageInformation TechnologyKarthik Kushala Download
E-Commerce Fraud Detection Based on Machine Learning TechniquesComputer Science EngneeringVikram Ankush Ade Download
Detection of Phishing Website Using Gradient Boosting AlgorithmComputer Science and EngineeringYAWALKAR PRASAD PRAMOD Download
Property Dealing WebComputer Science EngineeringYash Chaudhari Download
Reinforcement Learning for the Evolution of Antimicrobial Nano formulationsmachine learningMadhusudan Download
SecuraVault: A secured blockchain based cloud storage systemComputer Engineering Anshika Jaiswal Download
Autoimmune Disease Detection in women Using Machine Learning Approachcomputer science EngineeringJ. L. V. S. Download
Medicine Overdose Detection System Using Machine LearningComputer Science EngineeringDr.Somashekhar B M Download
Home Price Prediction Using Machine LearningComputer Science & Engineering G Tushar Download
Heat diseases prediction using machine learningComputer EngineeringProf. Meghashree M B Download
GRIDSHIELD AIComputer EngineeringDr. Archana B Download
Diabetic Retinopathy Detection with AI InsightsComputer EngineeringJay Mahesh Gurav Download
Personalized Fitness Segmentation with Actionable InsightsMachine LearningAnju Tiwari Download
Sentiment-Based Machine Learning Approach for Mapping Citizen ProblemsComputer science and EngineeringDr. Madhu B K Download
12