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Found 3 papers, 1 papers with code
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.
Object detection at 200 Frames Per Second
In this paper, we propose an efficient and fast object detector which can process hundreds of frames per second.
Single Image Super-Resolution based on Wiener Filter in Similarity Domain
In this paper we propose a self-similarity based approach that is able to use large groups of similar patches extracted from the input image to solve the SISR problem.
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