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Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation
Additionally, we propose and analyse network distillation as a learning strategy to reduce the computational cost of the deep learning approach at test time.
Spatiotemporal Stacked Sequential Learning for Pedestrian Detection
In particular, we propose to use two-stage classifiers which not only rely on the image descriptors required by the base classifiers but also on the response of such base classifiers in a given spatiotemporal neighborhood.
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