TagIT: A System for Image Auto-tagging and Clustering
- 5 May 2021
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- 4 Impact of Deep Neural Learning on Artificial Intelligence ResearchPublished by Walter de Gruyter GmbH ,2020
- Factors Affecting Accuracy of Convolutional Neural Network Using VGG-16Proceedings of the International Neural Networks Society, 2020
- “Fixing the curse of the bad product descriptions” – Search-boosted tag recommendation for E-commerce productsInformation Processing & Management, 2020
- Deep Learning Algorithms for Accurate Prediction of Image Description for E-commerce IndustryPublished by Springer Science and Business Media LLC ,2019
- Unsupervised tag recommendation for popular and cold productsJournal of Intelligent Information Systems, 2019
- 3. Deep learning techniques for image processingPublished by Walter de Gruyter GmbH ,2018
- Understanding Single Image Super-Resolution Techniques with Generative Adversarial NetworksPublished by Springer Science and Business Media LLC ,2018
- A Smart System for Selection of Optimal Product Images in E-CommercePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2018
- S-LSTM-GAN: Shared Recurrent Neural Networks with Adversarial TrainingPublished by Springer Science and Business Media LLC ,2018
- Human-competitive tagging using automatic keyphrase extractionPublished by Association for Computational Linguistics (ACL) ,2009