by scale the activation you mean, just multiply a scalar value to the output of left branch and then concatenate it with the right branch.No i haven’t about anything which states left image will the more features, it just i come up to the conclusion after training left image and right image separately, which showed left image get trained faster with higher accuracy then the right image.