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--- |
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license: gpl-3.0 |
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datasets: |
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- detection-datasets/coco |
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--- |
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# Introduction |
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This repository stores the model for YOLOv9-T, compatible with Kalray's neural network API. </br> |
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Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br> |
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# Contents |
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- ONNX: yolov9t.optimized.onnx |
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# Lecture note reference |
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# Repository or links references |
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- repository: https://github.com/WongKinYiu/yolov9 |
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- weights: https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-t-converted.pt |
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BibTeX entry and citation info |
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``` |
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@article{wang2024yolov9, |
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title={{YOLOv9}: Learning What You Want to Learn Using Programmable Gradient Information}, |
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author={Wang, Chien-Yao and Liao, Hong-Yuan Mark}, |
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booktitle={arXiv preprint arXiv:2402.13616}, |
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year={2024} |
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} |
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@article{chang2023yolor, |
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title={{YOLOR}-Based Multi-Task Learning}, |
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author={Chang, Hung-Shuo and Wang, Chien-Yao and Wang, Richard Robert and Chou, Gene and Liao, Hong-Yuan Mark}, |
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journal={arXiv preprint arXiv:2309.16921}, |
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year={2023} |
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} |
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``` |
