LAF: Enhancing person re-identification via Latent-Assisted Feature Fusion
Person re-identification (Re-ID) in real-world scenarios is challenged by occlusions, viewpoint variations, and individuals with similar attributes.Existing methods predominantly rely on salient regions, yet such regions often become unreliable under occlusion or in crowded environments, leading to ambiguous feature representations.To address this