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Found 4 papers, 1 papers with code
Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition
Accelerated MRI scan may be achieved by acquiring less amount of k-space data (down-sampling in the k-space).
Improving Batch Normalization with Skewness Reduction for Deep Neural Networks
As normalizing based on mean and variance does not necessarily make the features to have the same distribution, we propose a new normalization scheme: Batch Normalization with Skewness Reduction (BNSR).
Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval
In this paper, we introduce a new metric named Mean Local Group Average Precision (mLGAP) for better evaluation of the performance of hashing-based retrieval.
Training Neural Networks by Using Power Linear Units (PoLUs)
Experimental results show that our proposed activation function outperforms other state-of-the-art models with most networks.
