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Found 3 papers, 2 papers with code
Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning
In this paper, we focus on addressing the open-set face identification problem on a few-shot gallery by fine-tuning.
Understanding Open-Set Recognition by Jacobian Norm and Inter-Class Separation
Overall, the discrepancy in the Jacobian norm between the known and unknown classes enables OSR.
Parallax: Automatic Data-Parallel Training of Deep Neural Networks
The employment of high-performance servers and GPU accelerators for training deep neural network models have greatly accelerated recent advances in machine learning (ML).
Distributed, Parallel, and Cluster Computing
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