# Model Card for DuoduoCLIP

In this model repo we provide the official pretrained models used in the paper **Duoduo CLIP: Efficient 3D Understanding with Multi-View Images.**
The model usage and code can be found in the [github repo](https://github.com/3dlg-hcvc/DuoduoCLIP).

***Note: We provide the main model in the initial release, we will soon upload the other models used in the paper.***

## Model Details

### Model Description

- **Finetuned from model:** OpenCLIP model ("ViT-B-32" architecture and checkpoint "laion2b_s34b_b79k")

### Model Sources

- **Repository:** https://github.com/3dlg-hcvc/DuoduoCLIP
- **Paper:** https://arxiv.org/abs/2406.11579

### Model Checkpoints

- **Four_1to6F_bs1600_LT6.ckpt:** The model trained with the Four dataset and 1 to 6 frames sampled during training, with the last 6 attention layers trainable.

## Training Data

The dataset card can be found [here](https://huggingface.co/datasets/3dlg-hcvc/DuoduoCLIP-data).

**BibTeX:**
```bibtex
@misc{lee2024duoduo,
      title={Duoduo CLIP: Efficient 3D Understanding with Multi-View Images}, 
      author={Han-Hung Lee and Yiming Zhang and Angel X. Chang},
      year={2024},
      eprint={2406.11579},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
```

## Acknowledgement

This work was funded by a CIFAR AI Chair, a NSERC Discovery grant, and a CFI/BCKDF JELF grant.