MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
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Updated
Dec 24, 2021 - Python
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
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It is envisaged to eliminate these light constituents by distillation (flash or stripping). A preliminary study of the operating conditions of the process can be done in pseudo-binary: we assimilate the C7 cut to n-heptane and the light ones to ethane. We wish to construct the diagrams [T-x-y] and [x-y], [h-x-y] of the ethane-n-heptane binary u…
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