Official Dataset and Codebase for the CVPR 2026 paper:
Interactive Tracking: A Human-in-the-Loop Paradigm with Memory-Augmented Adaptation
This repository contains the dataset, code, and related annotations for InteractTrack, designed to evaluate interactive visual tracking models with a human-in-the-loop paradigm.
Note:The figure above illustrates the core motivation of our work. Unlike traditional one-pass tracking, InteractTrack introduces a Human-in-the-Loop paradigm where user interactions are incorporated to correct tracking failures in complex scenarios.
We provide the dataset in a single compressed file InteractTrack.zip. You can download it from the following cloud storage platforms:
- Baidu Wangpan (百度网盘)
- Link: https://pan.baidu.com/s/1ykDipt00YdHQt-XCaoL0Gw?pwd=INTK
- Password:
INTK
- Google Drive
The missing switch.txt files are provided as a separate supplement:
- Download link: https://drive.google.com/file/d/1Ahs8LA5BG7rEaVor857c2PnMwoqkSLYb/view?usp=drive_link
- Please place each
switch.txtfile into its corresponding sequence directory according to the sequence name.
After downloading and extracting InteractTrack.zip, the directory structure contains all video sequences directly at the root level. Each sequence folder is structured as follows:
InteractTrack/
├── 0001/
│ ├── imgs/ # Directory containing video frames
│ ├── description.txt # Textual description of the sequence
│ ├── groundtruth.txt # Bounding box annotations
│ ├── meta_info.ini # Meta information (resolution, frame rate, etc.)
│ ├── scene.txt # Scene context and attributes
│ └── switch.txt # Interaction/Switch points for human-in-the-loop
├── 0002/
├── Acrobat-17/
├── IceBall_video_02-Done/
├── TUD-Campus/
├── v_-60s86HzwCs_c001/
└── ... (other sequence folders)
- Download the dataset from the links above.
- Extract the contents to your preferred data directory:
unzip InteractTrack.zip -d /path/to/your/data_directory/
- Update the data paths in your configuration files to point to the extracted dataset folder.
If you find this dataset or our paper useful in your research, please consider citing our work:
@inproceedings{interactTrack,
title={Interactive Tracking: A Human-in-the-Loop Paradigm with Memory-Augmented Adaptation},
author={Huang, Yuqing and Zeng, Guotian and Yuan, Zhenqiao and He, Zhenyu and Li, Xin and Wang, Yaowei and Yang, Ming-Hsuan},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={35166--35176},
year={2026}
}