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Official PyTorch implementation of "Cross-Modal Object Tracking via Modality-Aware Fusion Network and A Large-Scale Dataset". (TNNLS 2024)

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Official PyTorch implementation of "Cross-Modal Object Tracking via Modality-Aware Fusion Network and A Large-Scale Dataset". (TNNLS 2024)

Citation

If you're using this code in a publication, please cite our paper.

@article{liu2024cross,
	 title={Cross-Modal Object Tracking via Modality-Aware Fusion Network and A Large-Scale Dataset},
	 author={Liu, Lei and Zhang, Mengya and Li, Cheng and Li, Chenglong and Tang, Jin},
	 journal={IEEE Transactions on Neural Networks and Learning Systems},
	 year={2024}
         }

System Requirements are the same as DiMP.

Pretrained Model and results If you only run the tracker, you can use the pretrained model: Google Drive/Baidu Yun. Also, results from pretrained model are provided in Baidu Yun(Code:xxv0), more details could be found in hear.

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Official PyTorch implementation of "Cross-Modal Object Tracking via Modality-Aware Fusion Network and A Large-Scale Dataset". (TNNLS 2024)

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