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Re-ID-AR: Improved Person Re-identification in Video via Joint Weakly Supervised Action Recognition
Our consideration of Re-ID and action recognition as a multi-task problem results in a multi-branch 2D CNN architecture that outperforms prior work in the field (rank-1 (mAP) – MARS: 93. 21%(87. 23%), LPW: 79. 60%) without any reliance 3D convolutions or multi-stream networks architectures as found in other contemporary work.
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