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EMC2 Model Compression Challenge (EMCC)

Deep learning has recently pushed the state of the art boundaries in many computer vision tasks. However, existing deep learning models are both computationally and memory intensive, making their deployment difficult on devices with low compute and memory resources. To fit these emerging models on such devices, novel compression techniques are needed without significantly decreasing the model accuracy.