Progress on the challenge of occlusion for person re-id benchmarks

Progress on the challenge of occlusion for person re-id benchmarks

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Person re-identification (Re-ID) is one of the primary components of an automated visual surveillance system. It aims to automatically identify/search persons in a multi-camera network having non-overlapping field-of-views. Owing to its potential in various applications and research significance, a plethora of deep learning based re-Id approaches h...

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... end-to-end part aware transformer was proposed in [72] in a weakly supervised manner. Self-attention mechanism was used to capture the context information of full image. Transformer based encoder decoder architecture was used for pixel based context and diverse part-level discovery. Fig. 7 summarized the reported SOTA results on occlusion. While Table 5 gives a brief overview of the published work done on occlusion challenge. ...