Attention based pruning for shift networks
Posted on20/11/2019
In many application domains such as computer vision, Convolutional Layers (CLs) are key to the accuracy of deep learning methods. However, it... Read More
U-Net Fixed-Point Quantization for Medical Image Segmentation
Posted on02/08/2019
Model quantization is leveraged to reduce the memory consumption and the computation time of deep neural networks. This is achieved by representing... Read More
On Relativistic f-Divergences
Posted on01/07/2019
This paper provides a more rigorous look at Relativistic Generative Adversarial Networks (RGANs). We prove that the objective function of the discriminator... Read More
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
Posted on28/03/2019
The scarcity of richly annotated medical images is limiting supervised deep learning based solutions to medical image analysis tasks, such as localizing... Read More
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
Posted on16/09/2018
We discuss how image translation research can lead to the misdiagnosis of medical conditions. This can cause an issue when the data... Read More
Count-ception: Counting by Fully Convolutional Redundant Counting
Posted on23/07/2017
Counting objects in digital images is a process that should be replaced by machines. This tedious task is time consuming and prone... Read More