Lijiaxin0111/M3_VOS

<h2 align="center"> <a href="https://zixuan-chen.github.io/M-cube-VOS.github.io/">[CVPR 2025] M³-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, 🏠Page
• —Paper: arxiv.org/html/2412.13803v2
• —Point of Contact: Jiaxin Li , Zixuan Chen

📁 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.

✏️ Citation

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

@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}
}