8 citations · 10 across the 3 of their papers we have counts for
3 papers
Generation and Analysis of Feature-Dependent Pseudo Noise for Training Deep Neural Networks
Sree Ram Kamabattula, Kumudha Musini, Babak Namazi +2
Training Deep neural networks (DNNs) on noisy labeled datasets is a challenging problem, because learning on mislabeled examples deteriorates the performance of the network. As the…
Identifying Training Stop Point with Noisy Labeled Data
Sree Ram Kamabattula, Venkat Devarajan, Babak Namazi +1
Training deep neural networks (DNNs) with noisy labels is a challenging problem due to over-parameterization. DNNs tend to essentially fit on clean samples at a higher rate in the…
LapTool-Net: A Contextual Detector of Surgical Tools in Laparoscopic Videos Based on Recurrent Convolutional Neural Networks
Babak Namazi, Ganesh Sankaranarayanan, Venkat Devarajan
We propose a new multilabel classifier, called LapTool-Net to detect the presence of surgical tools in each frame of a laparoscopic video. The novelty of LapTool-Net is the exploit…