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Social Fabric: Tubelet Compositions for Video Relation Detection

This repository contains the code and results for the following paper:

Social Fabric: Tubelet Compositions for Video Relation Detection
Shuo Chen, Zenglin Shi, Pascal Mettes and Cees G. M. Snoek
ICCV 2021

Dataset

Download VidOR validation annotation file vidor_gt_val_relation.json (<a href="https://surfdrive.surf.nl/files/index.php/s/0M5tuj5fPENkEmJ" target="_blank">link</a>) and put under data/ folder.

Evaluation

Download our method's result file on VidOR validation set social_fabric_vidor_results.tar.gz (<a href="https://surfdrive.surf.nl/files/index.php/s/im4cN3AABGSjD7B" target="_blank">link</a>) under results/ folder and tar. Then run:

python evaluate/evaluator.py data/vidor_gt_val_relation.json results/social_fabric_vidor_results

If you find this code useful in your research please cite:

@inproceedings{chen2021social,
  title={Social Fabric: Tubelet Compositions for Video Relation Detection},
  author={Chen, Shuo and Shi, Zenglin and Pascal, Mettes and Snoek, Cees GM},
  booktitle={ICCV},
  year={2021}
}