This repository serves as a comprehensive collection of papers, code, and resources related to visual object tracking. It aims to be a central hub for researchers and practitioners in the field, providing a curated list of state-of-the-art methods, datasets, and benchmarks.

How It Works

The project functions as a curated bibliography and code repository, meticulously listing and linking to a vast array of visual object tracking research. It categorizes papers by conference (CVPR, ECCV, ICCV, etc.) and year, offering direct links to papers and associated code where available. This structure allows users to easily navigate the evolution of tracking techniques and explore specific methodologies.

Quick Start & Requirements

This repository is a collection of links and does not have a direct installation or execution command. Users will need to follow the links provided for each paper to access their respective codebases and dependencies.

Highlighted Details

• Extensive coverage of visual object tracking research from 2013 to the present, including major conferences like CVPR, ECCV, ICCV, NeurIPS, and AAAI.
• Links to papers and code for a wide range of tracking algorithms, from early correlation filter-based methods to modern transformer-based approaches.
• Includes links to important tracking datasets and benchmarks (e.g., OTB, VOT, TrackingNet, LaSOT, UAVDT).
• Highlights influential researchers and teams in the visual tracking community.

Maintenance & Community

The repository is maintained by DavidZhangdw. It appears to be a personal collection rather than a community-driven project with active development or discussion channels.

Licensing & Compatibility

The repository itself does not host code or datasets, so it does not have a specific license. Users must adhere to the licenses of the individual projects linked within the README.

Limitations & Caveats

This repository is a curated list and does not provide any executable code or integrated framework. Users must individually locate, download, and set up the code for each tracking method they wish to use, which may involve complex dependency management and varying hardware requirements.