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Relying only on affinity can lead to failures in noisy environments, but ANFI's dual approach to neighbor interactions significantly boosts robustness in person re-ID tasks.
MFEN achieves superior VI-ReID performance by leveraging a multi-frequency approach that adapts to varying lighting conditions, outperforming traditional single-band methods.
Train a text-to-image model that rivals the state-of-the-art with 1/5th the compute by using GPT-4 to generate better captions.