Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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 computer vision Hashing have more scope and it is used to generate a binary hash value. So, we used Deep Hashing to learn a compact binary code for single and multiple layers of projections. There are many different methods which is used for binary code generation. We used supervised and multilabel supervised learning method for binary code value.
Keywords:
Scalable image search, fast similarity search, hashing, deep learning, multi-label learning.
Cite Article:
"SCALABLE IMAGE RETRIEVAL BY MULTILABEL DEEP HASHING ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 9, page no.47 - 54, September-2019, Available :http://www.ijrti.org/papers/IJRTI1909009.pdf
Downloads:
000204822
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator