---
configs:
  - config_name: default
    data_files:
      - split: test
        path: m3vos_viewer_data_with_paths.jsonl
license: apache-2.0
task_categories:
- video-classification
language:
- en
- zh
tags:
- CVPR2025
- video
- segmentation
- computer-vision
- physical
- M3-VOS
pretty_name: M3-VOS
size_categories:
- n<1K
---


<h2 align="center"> 
<a href="https://zixuan-chen.github.io/M-cube-VOS.github.io/">[CVPR 2025]  M<sup>3</sup>-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation</a></h2>

<h5 align="center">If you like our project, please give us a star ⭐ on GitHub for the latest update.  </h5>

 

## 💡 Description

- **Venue:** CVPR2025
- **Repository:** [🛠️Tool](https://github.com/Lijiaxin0111/SemiAuto-Multi-Level-Annotation-Tool), [🏠Page](https://zixuan-chen.github.io/M-cube-VOS.github.io/)
- **Paper:** arxiv.org/html/2412.13803v2
- **Point of Contact:** [Jiaxin Li](li_jiaxin@sjtu.edu.cn) , [Zixuan Chen](m13953842591@sjtu.edu.cn)





### 📁 Structure

This dataset contains annotated videos and images for object segmentation tasks with phase transition information. The directory structure and file descriptions are as follows:

- `meta/`
  - `all_core_seqs.txt`: A list of core sequences used in the dataset.
  - `all_phase_transition.json`: Metadata describing the phase transition states of target objects.
  - `target_object.json`: Contains information about the target objects in each video sequence.
- `data/`
  - `Annotations/`: Contains segmentation masks for the annotated target objects.
  - `Videos/`: The original video files corresponding to each sequence.
  - `JPEGImages/`: Extracted image frames from the videos.
  - `ImageSets/`
    - `val.txt`: A list of video sequences used for validation.


For more details, please refer to our paper on arXiv: [2412.13803](https://arxiv.org/abs/2412.13803).


## ✏️ Citation

If you find our paper and code useful in your research, please consider giving a star and citation.

```BibTeX
@InProceedings{chen2024m3vos_2025_CVPR,
    author    = {Zixuan Chen and Jiaxin Li and Liming Tan and Yejie Guo and Junxuan Liang and Cewu Lu and Yong-Lu Li},
    title     = {M$^3$-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2025}
}
```