Data for "Improving semantic video retrieval models by training with a relevance-aware online mining strategy"

This repository contains all the data available for the publication: Alex Falcon, Giuseppe Serra, and Oswald Lanz. Improving semantic video retrieval models by training with a relevance-aware online mining strategy. Computer Vision and Image Understanding. 2024. Code is available at: https://github.com/aranciokov/ranp/ The data includes: pre-extracted features (ordered_feature_*.zip files) annotations, such as pre-extracted semantic graphs, glove checkpoints, class annotations, etc (annotations_*.zip files) train/val/test, when available, split information (public_split_*.zip) files pretrained models for HGR and EAO (details in the github repo)