Official github repository of Semantic Labels-Aware Transformer Model for Searching over a Large Collection of Lecture-Slides WACV 2023.
In order to setup the dataset do the following steps:
Download all the slides by running
cd datasets
pytthon 1_download_slides.py
It will save all the slide images with a unique ID.
The slide summary of each slide are given in the slide_summary.json file.
The semantiic informations are given in slide_summary.json file.
The train, validation, test split of slide images are in slide_summary.json file.
All the manually drawn sketch queries are included in the sketchQueries folder