Little-Podi/Transformer_Tracking
This repository is a paper digest of Transformer-related approaches in visual tracking tasks.
- Stars
- 394
- Forks
- 34
- Open issues
- 0
- Last push
- 19d ago
About Transformer_Tracking
Transformer_Tracking is a free, open-source AI resource list by Little-Podi. This repository is a paper digest of Transformer-related approaches in visual tracking tasks. It has 394 GitHub stars and 34 forks, and was last updated 19d ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- –
- Stars
- 394
- Last update
- 19d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Transformer_Tracking FAQ
Is Transformer_Tracking free?
Yes. Transformer_Tracking is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does Transformer_Tracking run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Transformer_Tracking need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Transformer_Tracking still maintained?
Yes. It was last updated 19d ago and has 0 open issues on GitHub.
What are alternatives to Transformer_Tracking?
Similar free, open-source tools include CVPR2026-Papers-with-Code, KG-LLM-Papers, Transformer-in-Computer-Vision, h4cker.