Hi, guys. resnet50 with input size 32 x 32 quantization, got a low precision. Origin precision is 0.79(top5 0.96), after quantization precision is 0.096(top5 0.2350).
I guess cause the input is too small, so that feature map has no redudance. When quantization, even small difference make no loss tolerance.