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Found 2 papers, 2 papers with code
Minimum Latency Deep Online Video Stabilization
In this work, we adopt recent off-the-shelf high-quality deep motion models for motion estimation to recover the camera trajectory and focus on the latter two steps.
The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset
Federated Learning is an algorithm suited for training models on decentralized data, but the requirement of a central "server" node is a bottleneck.
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