We provide an improved analysis of normalized SGD showing that adding momentum provably removes the need for large batch sizes on non-convex objectives. Then, we consider the case of objectives with bounded second derivative and show that in this case a small tweak to the momentum formula allows...
Such an architecture permits each branch to focus on its specific task, which improves the overall model accuracy. The output layer of Yolov8 contains the sigmoid function SiLU for object scores, indicating the probability of an object being present within the bounding box. For the class ...