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Text to Image Translation using Generative Adversarial Networks
- Adithya Viswanathan, Bhavin Mehta, M. P. Bhavatarini, H. Mamatha
- Computer ScienceInternational Conference on Advances in Computing…
- 1 September 2018
A novel implementation for translating description to images using Generative Adversarial networks is proposed in this paper which proposes a RNN-CNN text encoding along with the Generator and Discriminator network to take the text description of flowers as the input and the resultant output would be a set of unique images generated which match the description for the same.
Extracting Protests from News Using LSTM models with different Attention Mechanisms
- D. Thenmozhi, C. Aravindan, Abishek Shyamsunder, Adithya Viswanathan, Akash Kumar Pujari
- Computer ScienceCLEF
A deep learning approach is presented for classifying input documents developed using data from one country and is exercised on data from others, using Long Short-Term Memory a variant of Recurrent Neural Network is used to implement the text classification.
Empirical Test Design Strategies Using Natural Language Processing
This proposed system aims to intelligently identify preexisting similar issues, if any, to reduce redundancy, identify system requirements unsatisfied by these issues as well as identifying the criticality of the issues.