GHM-R

2000년 도입 · 논문 1편에서 사용

GHM-R is a loss function designed to balance the gradient flow for bounding box refinement. The GHM first performs statistics on the number of examples with similar attributes w.r.t their gradient density and then attaches a harmonizing parameter to the gradient of each example according to the density. The modification of gradient can be equivalently implemented by reformulating the loss function. Embedding the GHM into the bounding box regression branch is denoted as GHM-R loss.

출처: Gradient Harmonized Single-stage Detector

소개 논문: Gradient Harmonized Single-stage Detector