Robust Image Captioning

• URL: http://arxiv.org/abs/2012.09732v1
• Date: Sun, 6 Dec 2020 00:33:17 GMT
• Title: Robust Image Captioning
• Authors: Daniel Yarnell, Xian Wang
• Abstract summary: In this study, we leverage the Object Relation using adversarial robust cut algorithm. Our experimental study represent the promising performance of our proposed method for image captioning.
• Score: 3.20603058999901
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Automated captioning of photos is a mission that incorporates the difficulties of photo analysis and text generation. One essential feature of captioning is the concept of attention: how to determine what to specify and in which sequence. In this study, we leverage the Object Relation using adversarial robust cut algorithm, that grows upon this method by specifically embedding knowledge about the spatial association between input data through graph representation. Our experimental study represent the promising performance of our proposed method for image captioning.

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