Hey,
I’m using some pre-trained CNNs (ResNets and VGGs) - I’m trying to aggregate the classification using averaging of the softmax output vectors - only on the test set of CIFAR10.
Once I iterate over the testing set with batch size = 128/256, the accuracy is around 92%~
Once I iterate over the testing set with batch size = 1, the accuracy is around 12%~!
Again, I’m using pre-trained CNNs, input is the test set of CIFAR10.
What could be the problem?
thanks.