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Reidentify people in new scenes better by using multiple networks

Reidentify people in new scenes better by using multiple networks


Learning to Disentangle Scenes for Person Re-identification



There are many challenging problems in the person re-identification (ReID) task, such as the occlusion and scale variation.


... usually tried to solve them by employing ... one-branch network needs to be robust to various challenging problems, which makes this network overburdened.


... proposes ... employ several self-supervision operations to simulate different challenging problems and handle each challenging problem using different networks.


... use the random erasing operation and propose a novel random scaling operation to generate new images with controllable characteristics.


A general multi-branch network ... introduced to handle different scenes ... In this way ... are effectively disentangled ...


... method achieves state-of-the-art performances on three ReID benchmarks and two occluded ReID benchmarks. ...



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