mangye16/ReID-Survey
Deep Learning for Person Re-identification: A Survey and Outlook
This project offers a comprehensive overview and practical baselines for person and object re-identification using deep learning, particularly Transformers. It takes in various image and video datasets of people or animals and provides methods to accurately identify and track individuals across different camera views or over time. It is designed for researchers and engineers working in computer vision or surveillance.
742 stars. No commits in the last 6 months.
Use this if you are a researcher or practitioner building or evaluating person and object re-identification systems and want to leverage state-of-the-art deep learning methods, including Transformer-based approaches.
Not ideal if you are looking for a ready-to-deploy, end-user application for surveillance or tracking, as this provides research baselines and a survey, not a polished product.
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742
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96
Language
Python
License
MIT
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Last pushed
Feb 17, 2025
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