Chart-type classification
Jennil Thiyam, Sanasam Ranbir Singh, and Prabin K. Bora. 2021. Chart classification: an empirical comparative study of different learning models. In Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP '21). Association for Computing Machinery, New York, NY, USA, Article 32, 1–9.
This module contains the following:
- A chart dataset of 28 classes.
- Supporting codes for the following tasks:
- Chart-type classification using traditional classification methods
- Chart-type classification using deep learning-based methods.
- Chart-type classification using two attention mechanisms.
- Visualization of features (using GradCAM)