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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
80_recommendation.pdf | Attached File | 54.21 kB | Adobe PDF | View/Open |
_abstract.pdf | 36.44 kB | Adobe PDF | View/Open | |
_annexures.pdf | 175.05 kB | Adobe PDF | View/Open | |
_chapter1.pdf | 1.14 MB | Adobe PDF | View/Open | |
_chapter2.pdf | 1.05 MB | Adobe PDF | View/Open | |
_chapter3.pdf | 757.07 kB | Adobe PDF | View/Open | |
_chapter4.pdf | 597.22 kB | Adobe PDF | View/Open | |
_chapter5.pdf | 1.08 MB | Adobe PDF | View/Open | |
_chapter6.pdf | 54.21 kB | Adobe PDF | View/Open | |
_contents.pdf | 51 kB | Adobe PDF | View/Open | |
_prelims.pdf | 163.59 kB | Adobe PDF | View/Open | |
_title.pdf | 81.83 kB | Adobe PDF | View/Open |
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