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@@ -116,6 +116,20 @@ _Note: For the full source code and steps on how to recreate the model, visit th
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  ## Contact
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  For questions reach out via GitHub (Kev-HL).
 
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+ ## Citations & References
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+ **Backbone architectures:**
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+ - EfficientNetV2: [EfficientNetV2: Smaller Models and Faster Training](https://arxiv.org/abs/2104.00298) (Mingxing Tan, Quoc V. Le. ICML 2021)
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+ - MobileNetV3: [Searching for MobileNetV3](https://arxiv.org/abs/1905.02244) (Andrew Howard et al. ICCV 2019)
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+ - ConvNeXt: [A ConvNet for the 2020s](https://arxiv.org/abs/2201.03545) (Zhuang Liu et al. CVPR 2022)
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+ **Output heads architectures:**
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+ _Not directly implemented, but inspired by:_
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+ - FCN: [Fully Convolutional Networks for Semantic Segmentation](https://arxiv.org/abs/1411.4038) (Jonathan Long, Evan Shelhamer, Trevor Darrell. CVPR 2015)
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+ - U-Net: [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://arxiv.org/abs/1505.04597) (Olaf Ronneberger, Philipp Fischer, Thomas Brox. MICCAI 2015)
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+ ---
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  ## Contact
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  For questions reach out via GitHub (Kev-HL).