Reflections-
Introduction: Paper Name- The Role of Attention Mechanism and Multi-Feature in Image Captioning Paper objectives- 1. Develop a novel approach for multi-feature image captioning. 2. Compares two different approaches for image captioning using BLEU score.
Challenges: What has been the hardest part of the project you’ve encountered so far? The hardest part of the project we have encountered was while preprocessing the dataset. While preprocessing, few images consisted of multiple caption labels. Currently, we are making the choice whether to consider all the multiple captions or only one of them.
Insights: Are there any concrete results you can show at this point? Yes, we can show the preprocessing of images and captions. We have also implemented vgg16 to extract features from the images.
How is your model performing compared with expectations? At the moment, the model is at par with expectations.
Plan: Are you on track with your project? Yes.
What do you need to dedicate more time to? Understanding the research paper implementation for attention model.
What are you thinking of changing, if anything? None at the moment.
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