Without bounding box regression, the Soft-Label Chain CRF model has an accuracy of 69.85%, a 4.84% reduction compared to the setting with bounding box regression.
overlapping regions can be penalized only after prediction, so this loss is not differentiable, and one has to resort to reinforcement learning.