Physical-world attacks on deep person re-identification via adversarially transformable patterns
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Person re-identification (re-ID) is the task of matching person images across camera views, which plays an important role in surveillance and security applications. Inspired by the great progress of deep learning, deep re-ID models began to be popular and gained state-of-the-art performance.
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