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The biggest obstacle to training state of the art object detection models is cycle time. Even with a relatively small dataset like COCO and a standard network like Mask-RCNN with ResNet-50 as its backbone, convergence can take over a week using synchronous stochastic gradient descent (SGD) on 8 NVIDIA Tesla V100s. Since small tweaks to implementations or hyperparameters can lead to drastically…

February 12, 2020Keep Reading →