ABD-Net: Attentive but Diverse Person Re-Identification

Understand

Attention mechanism has been shown to be effective for person re-identification (Re-ID).

• However, the learned attentive feature embeddings which are often not naturally diverse nor uncorrelated, will compromise the retrieval performance based on the Euclidean distance.
• We advocate that enforcing diversity could greatly complement the power of attention.
• To this end, we propose an Attentive but Diverse Network (ABD-Net), which seamlessly integrates attention modules and diversity regularization throughout the entire network, to learn features that are representative, robust, and more discriminative.