Learning discriminative features with a dual-constrained guided network for video-based person re-identification

Video-based person re-identification (ReID) aims at matching pedestrians in a large video gallery across different cameras. However, some interference factors in most real-world scenarios, such as occlusion, pose variations and new appearances, make ReID a challenging task. Most existing methods lea...

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