ENOT-AutoDL/coco-benchmark
Image Segmentation
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Updated
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5
Reduce neural network computing power requirements without sacrificing performance and accuracy.
ENOT, or Embedded Network Optimization Technology, is a flexible tool for Deep Learning developers which automates neural architecture optimization. We support a variety of optimization techniques, you can find full details on our website or in our documentation.
Below you can find examples of models optimized with the help of ENOT Framework.
Feel free to contact us if you have any questions or suggestions.
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