Generating Image Descriptions: Difference between revisions
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== Introduction and Motivation == | == Introduction and Motivation == | ||
People often say that a picture is worth a thousand words, but with the current tools available, NLP and image recognition algorithms are unable to meaningfully extract nearly that much information from most images. When a human glances at an image, they can easily identify numerous details, and specify the locations at which these details exist. However, this task has eluded many existing image recognition models, due to the many inherent restrictions placed on these algorithms. In the past decade, most researchers in the image recognition field have focused primarily on classification, and although | People often say that a picture is worth a thousand words, but with the current tools available, NLP and image recognition algorithms are unable to meaningfully extract nearly that much information from most images. When a human glances at an image, they can easily identify numerous details, and specify the locations at which these details exist. However, this task has eluded many existing image recognition models, due to the many inherent restrictions placed on these algorithms. In the past decade, most researchers in the image recognition field have focused primarily on classification, and although | ||
== Literature Review == | == Literature Review == | ||
Revision as of 13:14, 22 March 2018
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Introduction and Motivation
People often say that a picture is worth a thousand words, but with the current tools available, NLP and image recognition algorithms are unable to meaningfully extract nearly that much information from most images. When a human glances at an image, they can easily identify numerous details, and specify the locations at which these details exist. However, this task has eluded many existing image recognition models, due to the many inherent restrictions placed on these algorithms. In the past decade, most researchers in the image recognition field have focused primarily on classification, and although