CDADITagger: An Approach Towards Content Based Annotations Driven Image Tagging Integrating Hybrid Semantics-Reference-Cited by-同舟云学术

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CDADITagger: An Approach Towards Content Based Annotations Driven Image Tagging Integrating Hybrid Semantics

Published:2022-12-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE)
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Author:

Maddineni Saketh¹,Deepak Gerard²,J Sheeba Priyadarshini³

Affiliation:

1. National Institute of Technology,Department of CSE,Tadepalligudem,Andhra Pradesh,India

2. Manipal Insitute of Technology Bengaluru, Manipal Academy of Higher Education,Department of CSE,Manipal,India

3. CHRIST (Deemed to be University),Department of Data Science,Bangalore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10176201/10176203/10176214.pdf?arnumber=10176214

Reference16 articles.

1. An intelligent system for modeling and evaluation of domain ontologies for Crystallography as a prospective domain with a focus on their retrieval

2. Deep multiple instance learning for zero-shot image tagging;rahman;Asian Conference on Computer Vision,2018

3. A Semantic Approach for Fashion Recommendation Using Logistic Regression and Ontologies

4. Metadata Driven Semantically Aware Medical Query Expansion

5. Deeptag: Robust image tagging for deepfake provenance;wang,2020

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