Dec 12, 2016 · We introduce a text-guided attention model for image captioning, which learns to drive visual attention using associated captions.
Text-Guided Attention Model for Image Captioning. Jonghwan Mun, Minsu Cho, Bohyung Han. Department of Computer Science and Engineering, POSTECH, Korea.
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We propose a two-side attention model which combines the attention mechanism seamlessly and associated with a coarse to fine attention mechanism.
A text-guided attention model for image captioning, which learns to drive visual attention using associated captions using exemplar-based learning approach, ...
Text-guided Attention Model for Image Captioning · Dependencies (This project is tested on linux 14.04 64bit with gpu Titan) · Download pre-trained model.
Our attention model enables to describe a detailed state of scenes by distinguishing small or confusable objects effectively. We validate our model on MS-COCO ...
This is a TensorFlow implementation of Text-guided Attention Model for Image Captioning using scheduled sampling as a learning approach.
A text-guided attention model for image captioning, which learns to drive visual attention using associated captions using exemplar-based learning approach.
Bibliographic details on Text-Guided Attention Model for Image Captioning.
Attention mechanism plays an important role in understanding images and demonstrates its effectiveness in generating natural language descriptions of images ...