Small work to perform a comparison between CapsNet and traditional Convolutional Neural Networks on the Google Landmark Recognition Challenge.
This project was developed for the AIML (Artificial Intelligence and Machine Learning) course in Politecnico di Torino in the academic year 2019/2020.
- Code of Capsnet for the Google Landmark Recognition Challenge is in capsnet;
- Code of CNNs for the Google Landmark Recognition Challenge is in cnn.
A detailed description of this project can be found in comparison.
- Giulia Milan - Initial work - giuliapuntoit
- Enrico Postolov - Initial work - enripostolov
- Davide Taddei - Initial work - davidetadz
This project is licensed under the MIT License - see the LICENSE file for details.
This information can be found inside comparison.