ImpSH, a triplet-based framework, aligns posts with implied statements and uses context-bounded semi-hard negatives to enhance detection of implicit hate speech. Evaluations on IHC, SBIC, and DynaHate show ImpSH outperforms standard supervised contrastive methods in cross-domain settings, with improved representation stability and reduced false negatives under domain shifts.