This repository serves as a comprehensive, curated list of research papers focused on Single Object Tracking (SOT). It aims to provide researchers and practitioners in computer vision with an up-to-date and organized reference for state-of-the-art SOT algorithms, datasets, and benchmarks.

How It Works

The repository compiles papers from major computer vision conferences (CVPR, ICCV, ECCV) and journals, categorizing them by publication year and often linking to their respective papers, code, and project pages. This structured approach allows users to easily navigate the evolution of SOT techniques and identify relevant research.

Quick Start & Requirements

This repository is a curated list and does not require installation or execution. It serves as a reference guide.

Highlighted Details

• Extensive coverage of SOT papers from 2013 to the present, including major conferences like CVPR, ICCV, ECCV, and AAAI.
• Links to papers, code repositories, project pages, and demo videos for many listed works.
• Highlights distinguished researchers and teams actively contributing to the SOT field.
• Includes references to key datasets and benchmarks for evaluating SOT performance.

Maintenance & Community

The list is actively updated, as indicated by the inclusion of recent papers from 2024. It is a community-driven resource, modified from existing benchmarks and continuously updated.

Licensing & Compatibility

The repository itself is a list of links and does not have a specific license. The licensing of the linked papers and code repositories would be governed by their respective owners.

Limitations & Caveats

While comprehensive, the list's primary function is curation; it does not provide implementations or direct access to the algorithms themselves. Users must follow the provided links to access the actual research and code.