What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification

Pattern Recognition, Volume abs/1707.07074, 2018.

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Abstract:

Matching pedestrians across disjoint camera views, known as person re-identification (re-id), is a challenging problem that is of importance to visual recognition and surveillance. Most existing methods exploit local regions with spatial manipulation to perform matching in local correspondences. However, they essentially extract fixed rep...More

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