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I have one question: it points out in the paper that the "We collect all the detections produced by DeepDet to train the DeepVer model." May I know how you get the final score of an image patch? The formulation is : "S = ω × SDeepDet + (1 − ω) × SDeepVer". Is this for entire model or for each patch in the training data?
The text was updated successfully, but these errors were encountered:
In the test stage, the final score of an image patch is the formulation as above: S = ω × SDeepDet + (1 − ω) × SDeepVer.
While in the training stage, the DeepDet model and DeepVer model are trained independently. The balance weight ω is adjusted on the training set to the best performance.
I have one question: it points out in the paper that the "We collect all the detections produced by DeepDet to train the DeepVer model." May I know how you get the final score of an image patch? The formulation is : "S = ω × SDeepDet + (1 − ω) × SDeepVer". Is this for entire model or for each patch in the training data?
The text was updated successfully, but these errors were encountered: