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6 papers · 2 filters
Improving Skin Condition Classification with a Question Answering Model
Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain
We present a skin condition classification methodology based on a sequential pipeline of a pre-trained Convolutional Neural Network (CNN) and a Question Answering (QA) model. This…
Image Generation from Layout
Bo Zhao, Lili Meng, Weidong Yin +1
Despite significant recent progress on generative models, controlled generation of images depicting multiple and complex object layouts is still a difficult problem. Among the core…
Leveraging Uncertainty Estimates for Predicting Segmentation Quality
Terrance DeVries, Graham W. Taylor
The use of deep learning for medical imaging has seen tremendous growth in the research community. One reason for the slow uptake of these systems in the clinical setting is that t…
Visual Reasoning by Progressive Module Networks
Seung Wook Kim, Makarand Tapaswi, Sanja Fidler
Humans learn to solve tasks of increasing complexity by building on top of previously acquired knowledge. Typically, there exists a natural progression in the tasks that we learn -…
Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
David Acuna, Huan Ling, Amlan Kar +1
Manually labeling datasets with object masks is extremely time consuming. In this work, we follow the idea of Polygon-RNN to produce polygonal annotations of objects interactively…
Real-Time End-to-End Action Detection with Two-Stream Networks
Alaaeldin El-Nouby, Graham W. Taylor
Two-stream networks have been very successful for solving the problem of action detection. However, prior work using two-stream networks train both streams separately, which preven…