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*[04/26/2023]:collision: By combining with [FocalNet-Huge](https://github.com/microsoft/FocalNet) backbone, Focal-Stable-DINO achieves **64.8 AP** on COCO test-dev *without* any test time augmentation! Check our [Technical Report](https://arxiv.org/abs/2304.13027) for more details!
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*[06/30/2023]:collision: Please find FocalNet-DINO checkpoints from [huggingface](https://huggingface.co/microsoft). The old links are deprecated.
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*[04/26/2023] By combining with [FocalNet-Huge](https://github.com/microsoft/FocalNet) backbone, Focal-Stable-DINO achieves **64.8 AP** on COCO test-dev *without* any test time augmentation! Check our [Technical Report](https://arxiv.org/abs/2304.13027) for more details!
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*[02/13/2023] FocalNet has been integrated to [Keras](https://github.com/keras-team/keras-io), check out the [tutorial](https://keras.io/examples/vision/focal_modulation_network/)!
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*[01/18/2023] Checkout a curated paper list which introduce [networks beyond attention](https://github.com/FocalNet/Networks-Beyond-Attention) based on modern convolution and modulation!
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*[01/01/2023] Researchers showed that Focal-UNet beats Swin-UNet on several medical image segmentation benchmarks. Check out their [code](https://github.com/givkashi/Focal-Unet) and [paper](https://arxiv.org/abs/2212.09263), and happy new year!
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