This paper proposes a dual-path deep supervision network (DDSN) for visible-infrared person re-identification (VI-ReID), aiming to effectively utilize multi-level information through deep supervision and feature fusion methods. Besides, this paper introduces a self-attention mechanism to capture contextual information as a supplement. The above techniques have greatly enhanced discriminative feature learning. While these methods may seem simple, they provide great insight for VI-ReID.