MOVE
Collection
Motion-Guided Few-Shot Video Object Segmentation
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2 items
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Updated
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
for split_generator in builder._split_generators(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
raise ValueError(
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
MOVE: Motion-Guided Few-Shot Video Object Segmentation
🏠 Homepage | 📄 Paper | 🔗 GitHub
Abstract
This work addresses motion-guided few-shot video object segmentation (FSVOS), which aims to segment dynamic objects in videos based on a few annotated examples with the same motion patterns. Existing FSVOS datasets and methods typically focus on object categories, which are static attributes that ignore the rich temporal dynamics in videos, limiting their application in scenarios requiring motion understanding. To fill this gap, we introduce MOVE, a large-scale dataset specifically designed for motion-guided FSVOS. Based on MOVE, we comprehensively evaluate 6 state-of-the-art methods from 3 different related tasks across 2 experimental settings. Our results reveal that current methods struggle to address motion-guided FSVOS, prompting us to analyze the associated challenges and propose a baseline method, Decoupled Motion-Appearance Network (DMA). Experiments demonstrate that our approach achieves superior performance in few-shot motion understanding, establishing a solid foundation for future research in this direction.
Download
We recommend using huggingface-cli to download:
pip install -U "huggingface_hub[cli]"
huggingface-cli download FudanCVL/MOVE --repo-type dataset --local-dir ./data/ --local-dir-use-symlinks False --max-workers 16
Data Structure
MOVE_release/
├── frames/
│ ├── video_1/
│ │ ├── 00000.jpg
│ │ ├── 00001.jpg
│ │ └── ...
│ ├── video_2/
│ │ ├── 00000.jpg
│ │ ├── 00001.jpg
│ │ └── ...
│ └── ...
├── annotations/
│ ├── video_1.json
│ ├── video_2.json
│ └── ...
├── action_groups.json # overlapping split
└── challenging_group.json # non-overlapping split
BibTeX
If you find our paper and dataset useful for your research, please generously cite our paper.
@inproceedings{ying2025move,
title={{MOVE}: {M}otion-{G}uided {F}ew-{S}hot {V}ideo {O}bject {S}egmentation},
author={Ying, Kaining and Hu, Hengrui and Ding, Henghui},
year={2025},
booktitle={ICCV}
}
📄 License
MOVE is licensed under a CC BY-NC-SA 4.0 License. The data of MOVE is released for non-commercial research purpose only.
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