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Found 3 papers, 0 papers with code
FacEDiM: A Face Embedding Distribution Model for Few-Shot Biometric Authentication of Cattle
This work proposes to solve the problem of few-shot biometric authentication by computing the Mahalanobis distance between testing embeddings and a multivariate Gaussian distribution of training embeddings obtained using pre-trained CNNs.
On the Acceleration of Deep Neural Network Inference using Quantized Compressed Sensing
Accelerating deep neural network (DNN) inference on resource-limited devices is one of the most important barriers to ensuring a wider and more inclusive adoption.
Efficient Convolutional Auto-Encoding via Random Convexification and Frequency-Domain Minimization
The omnipresence of deep learning architectures such as deep convolutional neural networks (CNN)s is fueled by the synergistic combination of ever-increasing labeled datasets and specialized hardware.
