3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in unet-quantization-23
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Use these libraries to find unet-quantization-23 models and implementations
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This work presents a quantization method for the U-Net architecture, a popular model in medical image segmentation, and provides a flexible trade off between accuracy and memory requirement which is not provided by previous quantization methods for U- net such as TernaryNet.
Adding a benchmark result helps the community track progress.