Webly Supervised Knowledge Embedding Model for Visual Reasoning
Published: Jun 1, 2020
Abstract
Visual reasoning between visual image and natural language description is a long-standing challenge in computer vision. While recent approaches offer a great promise by compositionality or relational computing, most of them are oppressed by the challenge of training with datasets containing only a limited number of images with ground-truth texts. Besides, it is extremely time-consuming and difficult to build a larger dataset by annotating...
Paper Details
Title
Webly Supervised Knowledge Embedding Model for Visual Reasoning
Published Date
Jun 1, 2020
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