---
license: ecl-2.0
tags:
- referring-video-object-segmentation
---
**VD-IT model**

The is our pre-trained checkpoint for our paper [**Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation**](https://arxiv.org/abs/2403.12042).

We use a video diffusion model ([ModelScopeT2V](https://modelscope.cn/models/damo/text-to-video-synthesis/summary)) as our base model, applying prompt tuning to adapt it as a visual backbone for downstream video understanding tasks.

### Model traning
We first pre-train our model on Ref-COCO and then fine-tune it on Ref-YouTube-VOS. The training of the models utilizes
two NVIDIA A100 GPUs, processing 5 frames per clip over the course of 9 epochs. The initial learning rate is set to 5e-5 and reduced by a factor of 10 at the 6th and 8th epochs.