Image Classification
timm
PDE
ConvNet
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  # Model Card for Model ID
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- Based on **quasi-linear hyperbolic systems of PDEs**, the QLNet enters an uncharted water of ConvNet model space marked by the use of (element-wise) multiplication instead of ReLU as the primary nonlinearities. It achieves comparable accuracy as ResNet50 on ImageNet-1k, demonstrating that it is endowed with the same level of capacity/expressivity, and deserves more study (hyper-paremeter tuning, optimizer, etc.) by the broader community.
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  *This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).*
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  ## Model Details
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  # Model Card for Model ID
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+ Based on **quasi-linear hyperbolic systems of PDEs**, the QLNet enters an uncharted water of ConvNet model space marked by the use of (element-wise) multiplication instead of ReLU as the primary nonlinearities. It achieves comparable accuracy as ResNet50 on ImageNet-1k (acc=78.4), demonstrating that it is endowed with the same level of capacity/expressivity, and deserves more study (hyper-paremeter tuning, optimizer, etc.) by the broader community.
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  *This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).*
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+ ![](https://huggingface.co/liuyao/QLNet/resolve/main/QLNet.jpeg)
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  ## Model Details
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