INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In the ever-expanding realm of digital imagery, the rapid generation and sharing of visual content have given rise to the challenge of detecting near-duplicate images efficiently and accurately. The project's primary objective is to develop a cutting-edge framework that leverages the advanced feature extraction capabilities of ResNet-50, a state-ofthe-art convolutional neural network (CNN), to identify image pairs that appear identical to the human eye but may subtly differ in content or context. Incorporating advanced image transformation techniques, our project seeks to develop a novel framework for detecting near-duplicate images. By leveraging deep representation learning methodologies, we aim to enhance the discernment process, fostering innovation in image recognition technologies.
"Revolutionizing Image Duplicate Detection: Harnessing ResNet-50 with Spatial Transformers for Unprecedented Precision", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.c521-c530, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404292.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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