---
license: apache-2.0
---

Download following datasets:

> #### 1. PASCAL-5<sup>i</sup>
> Download PASCAL VOC2012 devkit (train/val data):
> ```bash
> wget http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar
> ```
> Download PASCAL VOC2012 SDS extended mask annotations.

> #### 2. COCO-20<sup>i</sup>
> Download COCO2014 train/val images and annotations: 
> ```bash
> wget http://images.cocodataset.org/zips/train2014.zip
> wget http://images.cocodataset.org/zips/val2014.zip
> wget http://images.cocodataset.org/annotations/annotations_trainval2014.zip
> ```
> Download COCO2014 train/val annotations.
> (and locate both train2014/ and val2014/ under annotations/ directory).


Create a directory '../dataset' for the above few-shot segmentation datasets and appropriately place each dataset to have following directory structure:

    Datasets/
      ├── VOC2012/            # PASCAL VOC2012 devkit
      │   ├── Annotations/
      │   ├── ImageSets/
      │   ├── ...
      │   └── SegmentationClassAug/
      ├── COCO2014/           
      │   ├── annotations/
      │   │   ├── train2014/  # (dir.) training masks (from Google Drive) 
      │   │   ├── val2014/    # (dir.) validation masks (from Google Drive)
      │   │   └── ..some json files..
      │   ├── train2014/
      │   └── val2014/
      └── IC-VOS/
          ├── 0a43a414/
          │   ├── Annotations/
          │   └── JPEGImages/
          └── ...

## Citation

```
@article{qi2025dc,
  title={DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency},
  author={Qi, Mengshi and Zhu, Pengfei and Ma, Huadong and Qi, Lu and Li, Xiangtai and Yang, Ming-Hsuan},
  journal={arXiv preprint arXiv:2504.12080},
  year={2025}
}
```