| --- |
| license: mit |
| library_name: pytorch |
| pipeline_tag: video-text-to-text |
| tags: |
| - video-understanding |
| - multimodal |
| --- |
| |
| # HierarQ Checkpoint |
|
|
| Checkpoint for **HierarQ** from the paper *HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video |
| Understanding* (CVPR, 2025). |
|
|
| - **Paper:** [ArXiv](https://arxiv.org/pdf/2503.08585) |
| - **Code:** [GitHub link](https://github.com/sacrcv/HierarQ) |
|
|
| ## Contents |
| - `hierarq_msvd_cap.pth`: This is an intermediate checkpoint of the model trained on the MSVD dataset on the captioning task |
|
|
| ## Usage |
| Download the checkpoint and follow the instructions in the code repository: |
|
|
| hf download shehreen3764/HierarQ_Checkpoint --local-dir ./checkpoints |
| |
| ## Citation |
| ```bibtex |
| @inproceedings{azad2025hierarq, |
| title = {HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding}, |
| author = {Azad, Shehreen and Vineet, Vibhav and Rawat, Yogesh Singh}, |
| booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, |
| year = {2025} |
| } |
| ``` |
|
|
