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Found 3 papers, 1 papers with code
VENOM: A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
We present the V:N:M format, which enables the execution of arbitrary N:M ratios on SPTCs.
Reusing Trained Layers of Convolutional Neural Networks to Shorten Hyperparameters Tuning Time
The rationale is that if a set of convolutional layers have been trained to solve a given problem, the weights calculated in this training may be useful when a new convolutional layer is added to the network architecture.
A Hybrid Approach for Tracking Individual Players in Broadcast Match Videos
This task becomes even more complicated when the person to track is a player in a broadcasted sport event, the reasons being the existence of difficulties such as frequent camera movements or switches, total and partial occlusions between players, and blurry frames due to the codification algorithm of the video.
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