Some common sense in testing some common sense in testing A few sample measurements often know
The main difference between One-Stage and Two-Stage
The detection model of deep learning is divided into One-Stage and Two-Stage
. The difference between One-Stage and Two-Stage is that Two-Stage has more RPN pre-region extraction frame network,
which leads to higher accuracy of Two-Stage, but One-Stage will be faster and suitable for real-time tasks because it is missing this step. The disadvantage is that it reduces accuracy