| --- |
| 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> |
|
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| <h5 align="center">If you like our project, please give us a star ⭐ on GitHub for the latest update. </h5> |
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| |
|
|
| ## 💡 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) |
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|
|
| ### 📁 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: |
|
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| - `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. |
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| For more details, please refer to our paper on arXiv: [2412.13803](https://arxiv.org/abs/2412.13803). |
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|
|
| ## ✏️ 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} |
| } |
| ``` |
