Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/440822
Title: Automatic Image Annotation to Zero Shot Learning Labeling Seen and Unseen Classes
Researcher: Pappu Kumar Bhagat
Guide(s): Prakash Choudhary and Khumanthem Manglem Singh
Keywords: Computer Science
Computer Science Information Systems
Engineering and Technology
University: National Institute of Technology Manipur
Completed Date: 2021
Abstract: Digital images growing enormously, beyond our expectations. The challenge is to newlinecope with the organization of this vast amount of images for effective retrieval. newlineThe bigger issue though, is whether computer vision is as adept as human vision. newlinewe are still in inefficient of computer vision. For the human eye, it is simple to newlinelocate an object present in the image, however, it is still a major challenge for newlinecomputer vision. Although human vision is such a complex mechanism that we newlineare still unable to understand it completely, computer vision has also advanced newlinevery rapidly to mimic human vision. newline newline
Pagination: 
URI: http://hdl.handle.net/10603/440822
Appears in Departments:DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

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_abstract.pdf36.44 kBAdobe PDFView/Open
_annexures.pdf175.05 kBAdobe PDFView/Open
_chapter1.pdf1.14 MBAdobe PDFView/Open
_chapter2.pdf1.05 MBAdobe PDFView/Open
_chapter3.pdf757.07 kBAdobe PDFView/Open
_chapter4.pdf597.22 kBAdobe PDFView/Open
_chapter5.pdf1.08 MBAdobe PDFView/Open
_chapter6.pdf54.21 kBAdobe PDFView/Open
_contents.pdf51 kBAdobe PDFView/Open
_prelims.pdf163.59 kBAdobe PDFView/Open
_title.pdf81.83 kBAdobe PDFView/Open
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