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Update README.md

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@@ -34,6 +34,7 @@ Official model weights for the paper **"From Detection to Association: Learning
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  ## Main Results
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  **DanceTrack**
 
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  | Training Data | HOTA | IDF1 | AssA | MOTA | DetA |
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  |---------------|------|------|------|------|------|
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  | train | 71.7 | 77.2 | 63.5 | 91.3 | 81.0 |
@@ -51,7 +52,6 @@ Official model weights for the paper **"From Detection to Association: Learning
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  ## Usage
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  **Download Checkpoints**
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-
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  ```python
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  from huggingface_hub import hf_hub_download
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@@ -65,7 +65,6 @@ ckpt_path = hf_hub_download(
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  For full training and evaluation instructions, please refer to the [GitHub repository](https://github.com/Spongebobbbbbbbb/FDTA).
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  ## Citation
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-
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  ```bibtex
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  @article{shao2025fdta,
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  title={From Detection to Association: Learning Discriminative Object Embeddings for Multi-Object Tracking},
@@ -76,5 +75,4 @@ For full training and evaluation instructions, please refer to the [GitHub repos
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  ```
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  ## License
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-
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- This project is released under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
 
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  ## Main Results
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  **DanceTrack**
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+
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  | Training Data | HOTA | IDF1 | AssA | MOTA | DetA |
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  |---------------|------|------|------|------|------|
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  | train | 71.7 | 77.2 | 63.5 | 91.3 | 81.0 |
 
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  ## Usage
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  **Download Checkpoints**
 
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  ```python
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  from huggingface_hub import hf_hub_download
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  For full training and evaluation instructions, please refer to the [GitHub repository](https://github.com/Spongebobbbbbbbb/FDTA).
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  ## Citation
 
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  ```bibtex
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  @article{shao2025fdta,
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  title={From Detection to Association: Learning Discriminative Object Embeddings for Multi-Object Tracking},
 
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  ```
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  ## License
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+ This project is released under the [MIT License](https://opensource.org/licenses/MIT).