2.7k citations · 2.8k across the 4 of their papers we have counts for
4 papers
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance DeVries, Graham W. Taylor
Convolutional neural networks are capable of learning powerful representational spaces, which are necessary for tackling complex learning tasks. However, due to the model capacity…
LesionSeg: Semantic segmentation of skin lesions using Deep Convolutional Neural Network
Dhanesh Ramachandram, Terrance DeVries
We present a method for skin lesion segmentation for the ISIC 2017 Skin Lesion Segmentation Challenge. Our approach is based on a Fully Convolutional Network architecture which is…
Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks
Terrance DeVries, Dhanesh Ramachandram
We present a deep learning approach to the ISIC 2017 Skin Lesion Classification Challenge using a multi-scale convolutional neural network. Our approach utilizes an Inception-v3 ne…
Dataset Augmentation in Feature Space
Terrance DeVries, Graham W. Taylor
Dataset augmentation, the practice of applying a wide array of domain-specific transformations to synthetically expand a training set, is a standard tool in supervised learning. Wh…