2 papers
cs.SD2023
Getting More for Less: Using Weak Labels and AV-Mixup for Robust Audio-Visual Speaker Verification
Anith Selvakumar, Homa Fashandi
Distance Metric Learning (DML) has typically dominated the audio-visual speaker verification problem space, owing to strong performance in new and unseen classes. In our work, we e…
cs.CV2021
Stochastic Whitening Batch Normalization
Shengdong Zhang, Ehsan Nezhadarya, Homa Fashandi +3
Batch Normalization (BN) is a popular technique for training Deep Neural Networks (DNNs). BN uses scaling and shifting to normalize activations of mini-batches to accelerate conver…