Note that QAT allows us to model the effects of quantization and adjust the weights so that we can improve the model accuracy. This translates to an accuracy increase of 1.8 points comparing to simple post-training quantization:



Quantization Status
Acc@1
Acc@5




Non-quantized
74.042
91.340


Quantized Aware Training
73.004
90.858


Post-training Quantization
71.160
89.834



Object Detection